@inproceedings{DuennweberStadlerWeikletal., author = {D{\"u}nnweber, Jan and Stadler, Timo and Weikl, Sandra and Sch{\"a}fer, Andreas and Georg, Peter and Wein, Simon}, title = {Bus Route Classification for Rural Areas using Graph Convolutional Networks}, series = {Proceedings of the 22th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland}, booktitle = {Proceedings of the 22th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland}, pages = {15}, abstract = {In this paper, we present a new approach to determine the estimated time of arrival (ETA) for bus routes using (Deep) Graph Convolutional Networks (DGCNs). In addition we use the same DGCN to detect detours within a route. In our application, a classification of routes and their underlying graph structure is performed using Graph Learning. Our model leads to a fast prediction and avoids solving the vehicle routing problem (VRP) through expensive computations. Moreover, we describe how to predict travel time for all routes using the same DGCN Model. This method makes it possible not to use a more computationally intensive approximation algorithm when determining long travel times with many intermediate stops, but to use our network for an early estimate of the quality of a route. Long travel times, in our case result from the use of a call-bus system, which must distribute many passengers among several vehicles and can take them to places without a regular stop. For a case study, the rural town of Roding in Bavaria is used. Our training data for this area results from an approximation algorithm that we implemented to optimize routes, and to generate an archive of routes of varying quality simultaneously.}, language = {en} } @inproceedings{MuellerAltDuennweberetal., author = {M{\"u}ller, Jens and Alt, Martin and D{\"u}nnweber, Jan and Gorlatch, Sergei}, title = {Clayworks}, series = {IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2nd, 4-6 Dec 2006, Amsterdam, Netherlands}, booktitle = {IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2nd, 4-6 Dec 2006, Amsterdam, Netherlands}, isbn = {0-7695-2734-5}, doi = {10.1109/E-SCIENCE.2006.261188}, abstract = {Clayworks is a software system which integrates collaborative real-time modeling and distributed computing. It addresses the challenge of developing a collaborative workspace with a seamless access to high-performance servers. Clayworks allows modeling of virtual clay objects and running computation-intensive deformation simulations for objects crashing into each other. To integrate heterogeneous computational resources, we adopted modern Grid middleware and provided the users with an intuitive graphical interface. We parallelized the computation of simulations using a Higher-Order Component (HOC) which abstracts over the Globus Web service resource framework (WSRF) used to interconnect our worksuite to the computation server. Clayworks is a representative of a large class of demanding systems which combine collaborative modeling with performance-critical computations, e.g., crash-tests or simulations for biological population evolution.}, language = {en} } @incollection{DuennweberDumitrescuRaicuetal., author = {D{\"u}nnweber, Jan and Dumitrescu, Cǎtǎlin L. and Raicu, Ioan and Foster, Ian}, title = {Simplifying Grid Application Programming Using Web-Enabled Code Transfer Tools}, series = {Towards Next Generation Grids}, booktitle = {Towards Next Generation Grids}, editor = {Priol, Thierry and Vanneschi, Marco}, publisher = {Springer}, address = {Rennes, France}, isbn = {978-0-387-72497-3}, doi = {10.1007/978-0-387-72498-0_21}, pages = {225 -- 235}, abstract = {This paper deals with one of the fundamental properties of grid computing - transferring code between grid nodes and executing it remotely on heterogeneous hosts. Contemporary middleware relies for this purpose on Web Services, which makes application programs complicated and low-level and requires much additional expertise from programmers. We compare two mechanisms for grid application programming with regard to their handling of code transfer - the de-facto standard WS-GRAM in Globus and the higher-level approach based on HOCs (Higher-Order Components). We study the advantages and problems of each approach using a real-world application case study - the sequent alignment problem from bioinformatics. Our experiments show the trade-off between reduced development costs and software complexity when HOCs are used and the higher performance of the applications on the grid when using WS-GRAM.}, language = {en} } @inproceedings{DuennweberGorlatchBenoitetal., author = {D{\"u}nnweber, Jan and Gorlatch, Sergei and Benoit, Anne and Cole, Murray}, title = {Integrating MPI-Skeletons with Web Services}, series = {ParCo'05 - International Conference on Parallel Computing, 2005, Malaga, Spain}, booktitle = {ParCo'05 - International Conference on Parallel Computing, 2005, Malaga, Spain}, pages = {787 -- 794}, abstract = {Interoperating components, implemented in multiple programming languages, are one of the key requirements of grid computing that operates over the borders of individual hardware and software platforms. Modern grid middleware like WSRF facilitates interoperability through service-orientation but it also increases software complexity. We show that Higher-Order Components (HOCs) provide a service-oriented programming abstraction over middleware technology. By offering the pipeline skeleton from the MPI-based eSkel library as a HOC, we show how machine-oriented technologies can be made available via Web Services on grids. We bind a Java-based Web application to the HOC to demonstrate its connectivity: user defined input can be transformed in a highly performant manner by running wavelet computations remotely on parallel machines.}, language = {en} } @inproceedings{StadlerHofmeisterDuennweber, author = {Stadler, Timo and Hofmeister, Simon and D{\"u}nnweber, Jan}, title = {A Method for the Optimized Placement of Bus Stops Based on Voronoi Diagrams}, series = {Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS55): January 3-7, 2022, Maui, Hawaii, USA}, booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS55): January 3-7, 2022, Maui, Hawaii, USA}, doi = {10.24251/HICSS.2022.694}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-21214}, pages = {5686 -- 5694}, abstract = {In this paper a new method for placing bus stops is presented. The method is suitable for permanently installed new bus stops and temporarily chosen collection points for call busses as well. Moreover, our implementation of the Voronoi algorithm chooses new locations for bus stops in such a way that more bus stops are set in densely populated areas and less in less populated areas. To achieve this goal, a corresponding weighting is applied to each possible placement point, based on the number of inhabitants around this point and the points of interest, such as medical centers and department stores around this point. Using the area of Roding, a small town in Bavaria, for a case study, we show that our method is especially suitable for for rural areas, where there are few multi-family houses or apartment blocks and the area is not densely populated.}, language = {en} } @inproceedings{BurgerSarkarKirschetal., author = {Burger, David and Sarkar, Amit and Kirsch, Konstantin and D{\"u}nnweber, Jan}, title = {Combining Fill-Level Sensing with Route Optimization for a More Efficient Waste Collection}, series = {ECDG 2018 - European Conference on Digital Government, 2018, Santiago De Compostela, Spain}, booktitle = {ECDG 2018 - European Conference on Digital Government, 2018, Santiago De Compostela, Spain}, editor = {Bouzas Lorenzo, Ram{\´o}n}, isbn = {9781912764037}, pages = {24 -- 31}, abstract = {We tackle the problem that collecting all the waste of modern cities within the scheduled time spans becomes increasingly challenging, while the waste collection team is not supplemented accordingly in many places, e.g. by more staff or vehicles. Separating waste has become natural for urban populations, as recycling is ecologically necessary. However, the separation also leads to a continuously increasing number of containers which are logistically unmanageable without computer-aided collection scheduling. Regensburg recently introduced a new program for the collection of biological waste, which extends the private collection of such waste by a few hundred public biological waste containers. Computer support was pretty basic so far, i.e. the collection times were recorded and the routes were sporadically rescheduled manually in an Excel sheet. We show that much shorter waste collection routes can be found automatically using a dynamic version of the classic Ant Colony Optimization (ACO) algorithm for shortening the collection routes. Moreover, we sketch an loT (lnternet-of-Things) approach to "lntelligent Waste Containers" which we equip with ultrasonic sensors monitoring the fill levels, which allows us to skip poorly used containers during the collection and reposition them on demand. By means of a computer simulation with online visualization, we illustrate that our optimized and dynamically adapted collection routes lead to significant time savings. Indeed, more than twice the number of currently used containers can be collected within the same time. We also report about the first experiments that we conducted with real sensors. The presented work is the result of a cooperation between four contributing parties: 1) Technical University of Regensburg (OTH); 2) Ara Institute of Canterbury; 3) Regensburg's Governmental Department of Waste Management; and 4) an industry partner (kpit.com). We compare the outcome of our project with related work and we sketch some future perspectives and ideas for transforming Regensburg into an even more automatized, environmentally friendly "smart city".}, language = {en} } @book{DuennweberGorlatch, author = {D{\"u}nnweber, Jan and Gorlatch, Sergei}, title = {Higher-Order Components for Grid Programming}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-642-00841-2}, doi = {10.1007/978-3-642-00841-2}, abstract = {A major challenge in grid computing remains the application software development for this new kind of infrastructure. Grid application programmers have to take into account several complicated aspects: distribution of data and computations, parallel computations on different sites and processors, heterogeneity of the involved computers, load balancing, etc. Grid programmers thus demand novel programming methodologies that abstract over such technical details while preserving the beneficial features of modern grid middleware. For this purpose, the authors introduce Higher-Order Components (HOCs). HOCs implement generic parallel/distributed processing patterns, together with the required middleware support, and they are offered to users via a high-level service interface. Users only have to provide the application-specific pieces of their programs as parameters, while low-level implementation details, such as the transfer of data across the grid, are handled by the HOCs. HOCs were developed within the CoreGRID European Network of Excellence and have become an optional extension of the popular Globus middleware. The book provides the reader with hands-on experience, describing a broad collection of example applications from various fields of science and engineering, including biology, physics, etc. The Java code for these examples is provided online, complementing the book. The expected application performance is studied and reported for extensive performance experiments on different testbeds, including grids with worldwide distribution. The book is targeted at graduate students, advanced professionals, and researchers in both academia and industry. Readers can raise their level of knowledge about methodologies for programming contemporary parallel and distributed systems, and, furthermore, they can gain practical experience in using distributed software. Practical examples show how the complementary online material can easily be adopted in various new projects.}, language = {en} } @incollection{DuennweberLuedekingGorlatch, author = {D{\"u}nnweber, Jan and L{\"u}deking, Philipp and Gorlatch, Sergei}, title = {A Higher-Order Component for Efficient Genome Processing on the Grid}, series = {Making Grids Work}, booktitle = {Making Grids Work}, editor = {Danelutto, Marco and Fragopoulou, Paraskevi and Getov, Vladimir}, publisher = {Springer}, address = {Boston, MA}, isbn = {978-0-387-78447-2}, doi = {10.1007/978-0-387-78448-9_28}, pages = {351 -- 362}, abstract = {Computational grids combine computers in the Internet for distributed data processing and are an attractive platform for the data-intensive applications of bioinformatics. We present an extensible genome processing software for the grid and evaluate its performance. Our software was able to discover previously unknown circular permutations (CP) in the ProDom database containing more than 70MB of protein data. A specific feature of our software is its design as a component: the Alignment HOC, a Higher-Order Component that makes use of the latest Globus toolkit as grid middleware. Besides genome data, the Alignment HOC accepts plugin code for processing this data as its input, and contains all the required configuration to run the component on top of Globus, thus, freeing the non-grid-expert user from dealing with grid middleware. Instead of writing data distribution procedures and configuring the middleware appropriately for every new algorithm, Alignment HOC users reuse the existing component and only write application-specific plugins. To maintain plugins persistently in a reusable manner, we built a web-accessible plugin database with a comfortable administration GUI. The flexible component-based implementation makes it easy to study CPs in other databases (e.g. UniProt/Swiss-Prot) or to use an alignment algorithm different than the standard Needleman-Wunsch. For the efficient distribution of workload, we developed a library of group communication operations for HOCs.}, language = {en} } @incollection{DuennweberTomasoniGorlatchetal., author = {D{\"u}nnweber, Jan and Tomasoni, Johannes and Gorlatch, Sergei and Claßen, Michael and Claßen, Philipp and Lengauer, Christian}, title = {A Grid Component with Embedded Loop Parallelization}, series = {Grid Computing}, booktitle = {Grid Computing}, editor = {Gorlatch, Sergei and Fragopoulou, Paraskevi and Priol, Thierry}, publisher = {Springer}, address = {Berlin}, isbn = {978-0-387-09456-4}, doi = {10.1007/978-0-387-09457-1_22}, pages = {261 -- 273}, abstract = {This work integrates two distinct research areas of parallel and distributed computing, (1) automatic loop parallelization, and (2) component-based Grid programming. The latter includes technologies developed within CoreGRID for simplifying Grid programming: the Grid ComponentModel (GCM) and Higher- Order Components (HOCs). Components support developing applications on the Grid without taking all the technical details of the particular platform type into account (network communication, heterogeneity, etc.). The GCMenables a hierarchical composition of programpieces and HOCs enable the reuse of component code in the development of new applications by specifying application-specific operations in a program via code parameters. When a programmer is provided, e. g., with a compute farm HOC, only the independent worker tasks must be described. But, once an application exhibits data or control dependences, the trivial farm is no longer sufficient. Here, the power of loop parallelization tools, like LooPo, comes into play: by embedding LooPo into a HOC, we show that these two technologies in combination facilitate the automatic transformation of a sequential loop nest with complex dependences (supplied by the user as a HOC parameter) into an ordered task graph, which can be processed on the Grid in parallel. This technique can significantly simplify GCM-based systems which combine multiple HOCs and other components. We use an equation system solver based on the successive overrelaxation method (SOR) as our motivating application example and for performance experiments.}, language = {en} } @inproceedings{DumitrescuEpemaDuennweber, author = {Dumitrescu, C{\^a}t{\^a}lin L. and Epema, Dick H. J. and D{\"u}nnweber, Jan}, title = {User-Transparent Scheduling for Software Components on the Grid}, series = {Achievements in European Research on Grid Systems}, booktitle = {Achievements in European Research on Grid Systems}, editor = {Gorlatch, Sergei and Bubak, Marian and Priol, Thierry}, publisher = {Springer}, address = {Boston, MA}, isbn = {978-0-387-72811-7}, doi = {10.1007/978-0-387-72812-4_4}, pages = {41 -- 53}, abstract = {Grid applications are increasingly being developed as workflows using well-structured, reusable components. We argue that components with well-defined semantics facilitate an efficient scheduling on the Grid. We have previously developed a user-transparent scheduling approach for Higher-Order Components (HOCs) - parallel implementations of typical programming patterns, accessible and customizable via Web services. Our approach combines three scheduling techniques: using cost functions for reducing communication overhead, reusability of schedules for similar workflows, and the aggregated submission of jobs. We analyze the user-transparent scheduling from four perspectives, namely: the easiness of integration within already existing Grid scheduling systems, the gains for individual users, the resource provider advantages, and the robustness with respect to execution failures. We perform our evaluation using the KOALA Grid scheduler extended to support our user-transparent scheduling, which we run on the DAS-2 system combining over 200 nodes at five sites in the Netherlands. The experimental results show an increase in throughput by more than 100\%, a descreasing of the response time by 50\%, and a failure reduction by 45\% for the considered scenarios}, language = {en} } @article{MuellerIdenDuennweberGorlatchetal., author = {M{\"u}ller-Iden, Jens and D{\"u}nnweber, Jan and Gorlatch, Sergei and Alt, Martin and Fujita, Hamido and Funyu, Yutaka}, title = {Clayworks: Toward user-oriented software for collaborative modeling}, series = {Knowledge-Based Systems}, volume = {22}, journal = {Knowledge-Based Systems}, number = {3}, publisher = {Elsevier}, address = {Oxford, UK}, doi = {10.1016/j.knosys.2008.12.001}, pages = {209 -- 215}, abstract = {We consider the development of software systems that integrate collaborative real-time modeling and distributed computing. Our main goal is user-orientation: we need a collaborative workspace for geographically dispersed users with a seamless access of every user to high-performance servers. This paper presents a particular prototype, Clayworks, that allows modeling of virtual clay objects and running computation-intensive deformation simulations for objects crashing into each other. In order to integrate heterogeneous computational resources, we adopt modern Grid middleware and provide the users with an intuitive graphical interface. Simulations are parallelized using a higher-order component (HOC) which abstracts over the web service resource framework (WSRF) used to interconnect our worksuite to the computation server. Clayworks is a representative of a large class of demanding systems which combine collaborative, user-oriented modeling with performance-critical computations, e.g., crash-tests or simulations of biological population evolution.}, language = {en} } @incollection{DuennweberAldinucciGorlatchetal., author = {D{\"u}nnweber, Jan and Aldinucci, Marco and Gorlatch, Sergei and Campa, Sonia and Danelutto, Marco}, title = {Adaptable Parallel Components for Grid Programming}, series = {Integrated Research in GRID Computing}, booktitle = {Integrated Research in GRID Computing}, editor = {Gorlatch, Sergei and Danelutto, Marco}, publisher = {Springer Verlag}, address = {Boston, MA}, isbn = {978-0-387-47656-8}, doi = {10.1007/978-0-387-47658-2_4}, pages = {43 -- 57}, abstract = {We suggest that parallel software components used for grid computing should be adaptable to application-specific requirements, instead of developing new components from scratch for each particular application. As an example, we take a parallel farm component which is "embarrassingly parallel", i. e., free of dependencies, and adapt it to the wavefront processing pattern with dependencies that impact its behavior. We describe our approach in the context of Higher-Order Components (HOCs), with the Java-based system Lithium as our implementation framework. The adaptation process relies on HOCs' mobile code parameters that are shipped over the network of the grid. We describe our implementation of the proposed component adaptation method and report first experimental results for a particular grid application — the alignment of DNA sequence pairs, a popular, time-critical problem in computational molecular biology.}, language = {en} } @article{DuennweberKirsch, author = {D{\"u}nnweber, Jan and Kirsch, C.}, title = {Report Datenmigration}, series = {iX - Magazin f{\"u}r professionelle Informationstechnik}, journal = {iX - Magazin f{\"u}r professionelle Informationstechnik}, number = {11}, publisher = {Heise}, address = {Hannover}, issn = {0935-9680}, pages = {95 -- 100}, abstract = {Mehrere Terabyte Daten aus einem auf dem Mainframe laufenden COBOL-Programm auf eine SOA-Architektur unter Linux zu migrieren, stellt besondere Anforderungen an die Werkzeuge und Entwickler. Geschickte Kombination vorhandener Tools und effizienter Strategien vermeiden Stillstandszeiten und beschleunigen den Datentransfer.}, language = {de} } @article{BaumgartenDuennweberKirsch, author = {Baumgarten, Bodo and D{\"u}nnweber, Jan and Kirsch, C.}, title = {Report Big Data - Strukturierung von Tourismusdaten mit Hadoop}, series = {iX - Magazin f{\"u}r professionelle Informationstechnik}, journal = {iX - Magazin f{\"u}r professionelle Informationstechnik}, number = {06}, publisher = {heise}, address = {Hannover}, issn = {0935-9680}, pages = {97 -- 101}, abstract = {Ein weitverbreitetes, unstrukturiertes Datenformat stellt Reiseveranstalter inzwischen vor technische und logistische Probleme. Abhilfe k{\"o}nnte ein neues Format in Zusammenarbeit mit Cloud-Techniken schaffen.}, language = {de} } @incollection{DuennweberParlavatzasGorlatchetal., author = {D{\"u}nnweber, Jan and Parlavatzas, Nikos and Gorlatch, Sergei and Baude, Francoise and Legrand, Virginie}, title = {Automatic Creation of Web Services for Grid Components}, series = {Integrated Research in GRID Computing}, booktitle = {Integrated Research in GRID Computing}, editor = {Gorlatch, Sergei and Danelutto, Marco}, publisher = {Springer}, address = {Sophia Antipolis, France}, isbn = {978-0-387-47656-8}, doi = {10.1007/978-0-387-47658-2_3}, pages = {31 -- 42}, abstract = {While high-level software components simplify the programming of grid applications and Web services increase their interoperability, developing such components and configuring the interconnecting services is a demanding task. In this paper, we consider the combination of Higher-Order Components (HOCs) with the Fractal component model and the ProActive library. HOCs are parallel programming components, made accessible on the grid via Web services that use a special class loader enabling code mobility: executable code can be uploaded to a HOC, allowing one to customize the HOC. Fractal simplifies the composition of components and the ProActive library offers a generator for automatically creating Web services from components composed with Fractal, as long as all the parameters of these services have primitive types. Taking all the advantages of HOCs, ProActive and Fractal together, the obvious conclusion is that composing HOCs using Fractal and automatically exposing them as Web services on the grid via ProActive minimizes the required efforts for building complex grid systems. In this context, we solved the problem of exchanging code-carrying parameters in automatically generated Web services by integrating the HOC class loading mechanism into the ProActive library.}, language = {en} } @incollection{AldinucciDuennweberDaneluttoetal., author = {Aldinucci, Marco and D{\"u}nnweber, Jan and Danelutto, Marco and Golatch, Sergei}, title = {Optimization techniques for skeletons on grids}, series = {Grid Computing: The New Frontier of High Performance Computing}, booktitle = {Grid Computing: The New Frontier of High Performance Computing}, editor = {Grandinetti, Lucio}, publisher = {Elsevier}, address = {Scotland}, isbn = {978-0-08-046146-5}, doi = {10.1016/S0927-5452(05)80014-0}, pages = {255 -- 273}, abstract = {Skeletons are common patterns of parallelism, such as farm and pipeline, that can be abstracted and offered to the application programmer as programming primitives. We describe the use and implementation of skeletons on emerging computational grids, with the skeleton system Lithium, based on Java and RMI, as our reference programming syttem. Our main contribution is the exploration of optimization techniques for implementing skeletons on grids based on an optimized, future-based RMI mechanism, which we integrate into the macro-dataflow evaluation mechanism of Lithium. We discuss three optimizations: 1) a lookahead mechanism that allows to process multiple tasks concurrently at each grid server and thereby increases the overall degree of parallelism, 2) a lazy taskbinding technique that reduces interactions between grid servers and the task dispatcher, and 3) dynamic improvements that optimize the collecting of results and the work-load balancing. We report experimental results that demonstrate the improvements due to our optimizations on various testbeds, including a heterogeneous grid-like environment.}, language = {en} } @inproceedings{SchraderStadlerDuennweber, author = {Schrader, Jonas and Stadler, Timo and D{\"u}nnweber, Jan}, title = {A Hybrid Genetic Algorithm for Solving the VRP with Pickup and Delivery in Rural Areas}, series = {Proceedings of the 56th Hawaii International Conference on System Sciences: January 3-6, 2023, Maui Hawaii, USA}, booktitle = {Proceedings of the 56th Hawaii International Conference on System Sciences: January 3-6, 2023, Maui Hawaii, USA}, publisher = {University of Hawaiʻi at Mānoa}, address = {Honolulu, HI}, issn = {2572-6862}, pages = {9}, abstract = {In this paper, we present a new Hybrid Genetic Search (HGS) algorithm for solving the Capacitated Vehicle Routing Problem for Pickup and Delivery (CVRPPD) as it is required for public transport in rural areas. One of the biggest peculiarities here is that a large area has to be covered with as few vehicles as possible. The basic idea of this algorithm is based on a more general version of HGS, which we adopted to solve the CVRPPD in rural areas. It also implements improvements that lead to the acceleration of the algorithm and, thereby, to a faster generation of a fastest route. We tested the algorithm on real road data from Roding, a rural district in Bavaria, Germany. Moreover, we designed an API for converting data from the Openrouteservice, so that our algorithm can be applied on real world examples as well.}, language = {en} } @incollection{GorlatchDuennweber, author = {Gorlatch, Sergei and D{\"u}nnweber, Jan}, title = {From Grid Middleware to Grid Applications}, series = {Future Generation Grids}, booktitle = {Future Generation Grids}, editor = {Getov, Vladimir and Laforenza, Domenico and Reinefeld, Alexander}, publisher = {Springer Verlag}, address = {Berlin}, isbn = {978-0-387-27935-0}, doi = {10.1007/978-0-387-29445-2_13}, pages = {241 -- 261}, abstract = {This paper deals with the problem of application programming for grid systems that combine heterogeneous data and computational resources via the Internet. We argue that grid programming is still too complex because of the big gap between the currently used and anticipated grid middleware, (e.g., Globus or WSRF) and the application level. We suggest that this gap needs to be closed in future-generation grids and propose a novel approach to bridging the gap by using Higher-Order Components (HOCs) — recurring patterns of parallel behaviour that are provided to the user as program building blocks with pre-packaged implementation and middleware setup. The presentation is illustrated with a simple case study of computing fractal images. Our experiments demonstrate that HOCs can simplify grid application programming significantly, without serious performance loss.}, language = {en} } @inproceedings{DuennweberGorlatch, author = {D{\"u}nnweber, Jan and Gorlatch, Sergei}, title = {HOC-SA}, series = {IEEE International Conference on Services Computing (SCC 2004), 15-18 Sept. 2004, Shanghai, China}, booktitle = {IEEE International Conference on Services Computing (SCC 2004), 15-18 Sept. 2004, Shanghai, China}, isbn = {0-7695-2225-4}, doi = {10.1109/SCC.2004.1358017}, abstract = {The current efforts on programming grid applications often rely on service-oriented approaches like grid services. This work presents HOC-SA -a service architecture for higher-order components, which provides the programmer with reusable and composable patterns of parallelism and is interoperable with the latest Globus toolkit implementations. We describe our implementation of HOC-SA using OGSA-DAI, a framework for integrating grids with distributed databases. We present a simple example application and report first measurements on our grid testbed.}, language = {en} } @inproceedings{DuennweberSarkarPuthiyadathetal., author = {D{\"u}nnweber, Jan and Sarkar, Amit and Puthiyadath, Vimal Kumar and Barde, Omkar}, title = {A Tale of Four Cities - Improving Bus and Waste Collection Schedules in Practical Smart City Applications}, series = {Computer Information Systems and Industrial Management}, booktitle = {Computer Information Systems and Industrial Management}, editor = {Saeed, Khalid and Dvorsk{\´y}, Jiř{\´i}}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-84340-3}, doi = {10.1007/978-3-030-84340-3_30}, pages = {369 -- 380}, abstract = {Computer-based Improvements of waste collection and public transport procedures are often a part of smart city initiatives. When we envision an ideal bus network, it will primarily connect the most crowded bus stops. Similarly, an ideal waste collection vehicle will arrive at every container exactly at the time when it is fully loaded. Beyond doubt, this will reduce traffic and support environmentally friendly intentions like waste separation, as it will make more containers manageable. A difficulty of putting that vision into practice is that vehicles cannot always be where they are needed. Knowing the best time for arriving at a position is not insufficient for finding the optimal route. Therefore, we compare four different approaches to optimized routing: Regensburg, Christchurch, Malaysia, and Bangalore. Our analysis shows that the best schedules result from adapting field-tested routes frequently based on sensor measurements and route optimizing computations.}, language = {en} } @inproceedings{StadlerSarkarDuennweber, author = {Stadler, Timo and Sarkar, Amit and D{\"u}nnweber, Jan}, title = {Bus Demand Forecasting for Rural Areas Using XGBoost and Random Forest Algorithm}, series = {CISIM2021: 20th International Conference on Computer Information Systems and Industrial Management Applications, September 24-26 2021, Ełk, Poland}, booktitle = {CISIM2021: 20th International Conference on Computer Information Systems and Industrial Management Applications, September 24-26 2021, Ełk, Poland}, editor = {Saeed, Khalid and Dvorsk{\´y}, Jiř{\´i}}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-84340-3}, doi = {10.1007/978-3-030-84340-3_36}, pages = {442 -- 453}, abstract = {In recent years, mobility solutions have experienced a significant upswing. Consequently, it has increased the importance of forecasting the number of passengers and determining the associated demand for vehicles. We analyze all bus routes in a rural area in contrast to other work that predicts just a single bus route. Some differences in bus routes in rural areas compared to cities are highlighted and substantiated by a case study data using Roding, a town in the rural district of Cham in northern Bavaria, as an example. Data collected and we selected a random forest model that lets us determine the passenger demand, bus line effectiveness, or general user behavior. The prediction accuracy of the selected model is currently 87\%. The collected data helps to build new mobility-as-a-service solutions, such as on-call buses or dynamic route optimizations, as we show with our simulation.}, subject = {{\"O}ffentlicher Personennahverkehr}, language = {en} } @inproceedings{DuennweberMihaylovGlettleretal., author = {D{\"u}nnweber, Jan and Mihaylov, Valentin and Glettler, Ren{\´e} and Maiborn, Volker and Wolff, Holger}, title = {Use of HPC-Techniques for Large-Scale Data Migration}, series = {Workshop on High-Performance Computing Applied to Finance, 2011, Ischia, Italy}, booktitle = {Workshop on High-Performance Computing Applied to Finance, 2011, Ischia, Italy}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-642-21877-4}, doi = {10.1007/978-3-642-29737-3_45}, abstract = {Any re-design of a distributed legacy system requires a migration which involves numerous complex data replication and transformation steps. Migration procedures can become quite difficult and time-consuming, especially when the setup (i.e., the employed databases, encodings, formats etc.) of the legacy and the target system fundamentally differ, which is often the case with finance data, grown over decades. We report on experiences from a real-world project: the recent migration of a customer loyalty system from a COBOL-operated mainframe to a modern service-oriented architecture. In this context, we present our easy-to-adopt solution for running most replication steps in a high-performance manner: the QuickApply HPC-software which helps minimizing the replication time, and, thereby, the overall downtime of the migration. Business processes can be kept up and running most of the time, while pre-extracted data already pass a variety of platforms and representations toward the target system. We combine the advantages of traditional migration approaches: transformations, which require the interruption of business processes are performed with static data only, they can be made undone in case of a failure and terminate quickly, due to the use of parallel processing.}, language = {en} } @inproceedings{WinterDuennweber, author = {Winter, Christoph and D{\"u}nnweber, Jan}, title = {Model-Driven Development of GPU Applications}, series = {Parallel Computing: On the Road to Exascale}, booktitle = {Parallel Computing: On the Road to Exascale}, publisher = {IOS Press}, address = {Amsterdam, Netherlands}, isbn = {978-1-61499-621-7}, doi = {10.3233/978-1-61499-621-7-227}, pages = {227 -- 236}, abstract = {Programming GPUs with low-level libraries like CUDA and OpenCL is a tedious and error-prone task. Fortunately, algorithmic skeletons can shield developers from the complexity of parallel programming by encapsulating common parallel computing patterns. However, this simplification typically constrains programmers to write their applications using the GPU library employed by the skeleton implementation. In this work, we combine skeletal programming with modeldriven software development (MDSD) to increase the freedom of choice regarding the employed GPU library instead of leaving all technical decisions to the skeleton implementation. We present a code-generator that transforms models comprising skeletons, their input data and input functions to parallel C++ code while taking care of data-offset calculations. The generator has been tested using different GPU and multi-GPU communication libraries such as Thrust and CUDA-MPI. We demonstrate our novel approach to GPU programming with two example applications: affinity propagation and n-body simulation.}, language = {en} } @inproceedings{DuennweberGorlatchParlavantzasetal., author = {D{\"u}nnweber, Jan and Gorlatch, Sergei and Parlavantzas, Nikos and Baude, Francoise and Legrand, Virginie}, title = {Towards automatic creation of web services for grid component composition}, series = {Integrated Research in GRID Computing : CoreGRID Integration Workshop 2005 (Selected Papers), November 28-30, Pisa, Italy}, booktitle = {Integrated Research in GRID Computing : CoreGRID Integration Workshop 2005 (Selected Papers), November 28-30, Pisa, Italy}, publisher = {Springer Science+Business Media}, address = {Boston, MA}, isbn = {978-0-387-47658-2}, doi = {10.1007/978-0-387-47658-2_3}, pages = {31 -- 42}, abstract = {While high-level software components simplify the programming of grid applications and Web services increase their interoperability, developing such components and configuring the interconnecting services is a demanding task. In this paper, we consider the combination of Higher-Order Components (HOCs) with the Fractal component model and the ProActive library. HOCs are parallel programming components, made accessible on the grid via Web services that use a special class loader enabling code mobility: executable code can be uploaded to a HOC, allowing one to customize the HOC. Fractal simplifies the composition of components and the ProActive library offers a generator for automatically creating Web services from components composed with Fractal, as long as all the parameters of these services have primitive types. Taking all the advantages of HOCs, ProActive and Fractal together, the obvious conclusion is that composing HOCs using Fractal and automatically exposing them as Web services on the grid via ProActive minimizes the required efforts for building complex grid systems. In this context, we solved the problem of exchanging code-carrying parameters in automatically generated Web services by integrating the HOC class loading mechanism into the ProActive library.}, language = {en} } @inproceedings{ThelenEderMelzeretal., author = {Thelen, Simon and Eder, Friedrich and Melzer, Matthias and Weber Nunes, Danilo and Stadler, Michael and Rechenauer, Christian and Obergrießer, Mathias and Jubeh, Ruben and Volbert, Klaus and D{\"u}nnweber, Jan}, title = {A Slim Digital Twin For A Smart City And Its Residents}, series = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, booktitle = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam}, publisher = {ACM}, isbn = {979-8-4007-0891-6}, doi = {10.1145/3628797.3628936}, pages = {8 -- 15}, abstract = {In the engineering domain, representing real-world objects using a body of data, called a digital twin, which is frequently updated by "live" measurements, has shown various advantages over tradi- tional modelling and simulation techniques. Consequently, urban planners have a strong interest in digital twin technology, since it provides them with a laboratory for experimenting with data before making far-reaching decisions. Realizing these decisions involves the work of professionals in the architecture, engineering and construction (AEC) domain who nowadays collaborate via the methodology of building information modeling (BIM). At the same time, the citizen plays an integral role both in the data acquisition phase, while also being a beneficiary of the improved resource management strategies. In this paper, we present a prototype for a "digital energy twin" platform we designed in cooperation with the city of Regensburg. We show how our extensible platform de- sign can satisfy the various requirements of multiple user groups through a series of data processing solutions and visualizations, in- dicating valuable design and implementation guidelines for future projects. In particular, we focus on two example use cases concern- ing building electricity monitoring and BIM. By implementing a flexible data processing architecture we can involve citizens in the data acquisition process, meeting the demands of modern users regarding maximum transparency in the handling of their data.}, language = {en} } @misc{AppelhansKampmannMottoketal., author = {Appelhans, Marie-Luise and Kampmann, Matthias and Mottok, J{\"u}rgen and Riederer, Michael and Nagl, Klaus and Steffens, Oliver and D{\"u}nnweber, Jan and Wildgruber, Markus and Roth, Julius and Stadler, Timo and Palm, Christoph and Weiß, Martin Georg and Rochholz, Sandra and Bierl, Rudolf and Gschossmann, Andreas and Haug, Sonja and Schmidbauer, Simon and Koch, Anna and Westner, Markus and Bary, Benedikt von and Ellermeier, Andreas and V{\"o}gele, Daniel and Maiwald, Frederik and Hierl, Stefan and Schlamp, Matthias and Ehrlich, Ingo and Siegl, Marco and H{\"u}ntelmann, Sven and Wildfeuer, Matthias and Br{\"u}ckl, Oliver and Sterner, Michael and Hofrichter, Andreas and Eckert, Fabian and Bauer, Franz and Dawoud, Belal and Rabl, Hans-Peter and Gamisch, Bernd and Schmidt, Ottfried and Heberl, Michael and Thema, Martin and Mayer, Ulrike and Eller, Johannes and Sippenauer, Thomas and Adelt, Christian and Haslbeck, Matthias and Vogl, Bettina and Mauerer, Wolfgang and Ramsauer, Ralf and Lohmann, Daniel and Sax, Irmengard and Gabor, Thomas and Feld, Sebastian and Linnhoff-Popien, Claudia and Ławrowski, Robert Damian and Langer, Christoph and Schreiner, Rupert and Sellmair, Josef}, title = {Forschung 2019}, editor = {Baier, Wolfgang}, address = {Regensburg}, organization = {Ostbayerische Technische Hochschule Regensburg}, isbn = {978-3-9818209-7-3}, doi = {10.35096/othr/pub-789}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-7890}, pages = {72}, abstract = {Bericht mit Forschungsprojekten aus verschiedenen Bereichen der OTH Regensburg mit dem Schwerpunktthema "K{\"u}nstliche Intelligenz" und einem Gespr{\"a}ch zur "Medizin der Zukunft"}, subject = {Forschung}, language = {de} } @inproceedings{MelzerDuennweberBaumann, author = {Melzer, Matthias and D{\"u}nnweber, Jan and Baumann, Timo}, title = {Towards Smart Home Data Interpretation Using Analogies to Natural Language Processing}, series = {2022 IEEE International Conference on Smart Internet of Things: IEEE SmartIoT 2022, proceedings, 19-21 August 2022, Suzhou, China, hybrid conference (onsite and virtual)}, booktitle = {2022 IEEE International Conference on Smart Internet of Things: IEEE SmartIoT 2022, proceedings, 19-21 August 2022, Suzhou, China, hybrid conference (onsite and virtual)}, publisher = {IEEE}, isbn = {978-1-6654-7952-3}, doi = {10.1109/SmartIoT55134.2022.00020}, pages = {65 -- 71}, abstract = {Recent advances in the development of smart homes have led to the availability of a wide variety of devices providing a high level of convenience via gesture and speech control or fully automated operation. Many smart home appliances also address the aspects of safety and electricity savings by automatically powering themselves off after not being used for a while. However, many devices remain in a typical household that are not themselves "smart", or are not primarily electric (such as heating systems). We address the savings aspect by identifying processes involving the use of multiple devices in the electrical flow data, as captured by a smart meter in a modern household, rather than focusing on a single appliance. Therefore, we introduce a novel approach to usage pattern analysis based on the idea that a pattern of device usages as a result of a resident's 'routine' (such as making breakfast) can be interpreted similarly to a natural language 'sentence'; Natural Language Processing (NLP) algorithms can then be used for interpreting the residents' behavior. We introduce the notion of bag-of-devices (BoD), derived from the bag-of-words model used in document classification. In an experiment, we show how we use this model to infer predictions about the inhabitants from device usage, such as the resident leaving for the day or just to fetch the newspaper.}, language = {en} } @inproceedings{StadtlerNitaDuennweber, author = {Stadtler, Timo and Nita, Spyro and D{\"u}nnweber, Jan}, title = {A Parallel Hybrid Genetic Search for the Capacitated VRP with Pickup and Delivery}, series = {34th International Workshop, LCPC 2021, Newark, DE, USA, October 13-14, 2021}, booktitle = {34th International Workshop, LCPC 2021, Newark, DE, USA, October 13-14, 2021}, doi = {10.35096/othr/pub-6985}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-69854}, abstract = {In the realm of parallel computing, optimization plays a pivotal role in achieving efficient and scalable solutions. In this work, we present the parallelization of a hybrid genetic search for solving the Capacitated Vehicle Routing Problem with Pickup and Delivery (CVRPPD).It leverages the synergy between genetic algorithms and parallel computing to address the complex optimization problem. This hybrid algorithm combines a customized version of local search with a genetic algorithm to compute an effective solution. Our implementation makes use of the Message Passing Interface (MPI) for data distribution and parallel execution. In addition, we run multi-threaded processes on NVIDIA graphical processors using the CUDA technology, which further increases the computation speed and consequently minimizes the runtime. Parallelization also allows the best-improvement strategy to be used instead of the rst-improvement strategy while maintaining the same runtime. We store the resulting routes in a bus route database which we created as the basis of an extensive library of optimal routes for our specifc use case of optimizing bus routes in a rural area. The experimental results on real road data show that the parallel implementation of the Hybrid Genetic Search (HGS) achieves significant improvements in runtime over the sequential implementation above a certain problem size. We believe that our implementation of the parallel hybrid genetic search method can have a great in influence on optimization strategies in parallel computing and can also be applied to other subproblems of the VRP.}, language = {en} } @misc{BroserFalterŁawrowskietal., author = {Broser, Christian and Falter, Thomas and Ławrowski, Robert Damian and Altenbuchner, Amelie and V{\"o}gele, Daniel and Koss, Claus and Schlampp, Matthias and Dunnweber, Jan and Steffens, Oliver and Heckner, Markus and Jaritz, Sabine and Schiegl, Thomas and Corsten, Sabine and Lauer, Norina and Guertler, Katherine and Koenig, Eric and Haug, Sonja and Huber, Dominik and Birkenmaier, Clemens and Krenkel, Lars and Wagner, Thomas and Justus, Xenia and Saßmannshausen, Sean Patrick and Kleine, Nadine and Weber, Karsten and Braun, Carina N. and Giacoppo, Giuliano and Heinrich, Michael and Just, Tobias and Schreck, Thomas and Schnabl, Andreas and Gilmore, Amador T{\´e}ran and Roeslin, Samuel and Schmid, Sandra and Wellnitz, Felix and Malz, Sebastian and Maurial, Andreas and Hauser, Florian and Mottok, J{\"u}rgen and Klettke, Meike and Scherzinger, Stefanie and St{\"o}rl, Uta and Heckner, Markus and Bazo, Alexander and Wolff, Christian and Kopper, Andreas and Westner, Markus and Pongratz, Christian and Ehrlich, Ingo and Briem, Ulrich and Hederer, Sebastian and Wagner, Marcus and Schillinger, Moritz and G{\"o}rlach, Julien and Hierl, Stefan and Siegl, Marco and Langer, Christoph and Hausladen, Matthias and Schreiner, Rupert and Haslbeck, Matthias and Kreuzer, Reinhard and Br{\"u}ckl, Oliver and Dawoud, Belal and Rabl, Hans-Peter and Gamisch, Bernd and Schmidt, Ottfried and Heberl, Michael and G{\"a}nsbauer, Bianca and Bick, Werner and Ellermeier, Andreas and Monkman, Gareth J. and Prem, Nina and Sindersberger, Dirk and Tschurtschenthaler, Karl and Aurbach, Maximilian and Dendorfer, Sebastian and Betz, Michael A. and Szecsey, Tamara and Mauerer, Wolfgang and Murr, Florian}, title = {Forschung 2018}, editor = {Baier, Wolfgang}, address = {Regensburg}, organization = {Ostbayerische Technische Hochschule Regensburg}, isbn = {978-3-9818209-5-9}, doi = {10.35096/othr/pub-1382}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-13826}, pages = {98}, subject = {Forschung}, language = {de} } @inproceedings{VoelklMelzerDuennweberetal., author = {V{\"o}lkl, Jakob and Melzer, Matthias and D{\"u}nnweber, Jan and Sarkar, Amitrajit}, title = {Dynamic Route Planning for a Data Collecting Luggage Transport Service}, series = {18th IEEE International Conference on Control \& Automation, June 18-21, 2024, Reykjav{\´i}k, Iceland}, booktitle = {18th IEEE International Conference on Control \& Automation, June 18-21, 2024, Reykjav{\´i}k, Iceland}, publisher = {IEEE}, abstract = {Control and Automation of services of the urban infrastructure offered to citizens and tourists are elementary parts of a smart city. But both rely on a stable supply of data from sensors spread across the whole city, e. g., the fill level sensors of waste bins needed for a waste management tool which we developed in a collaboration with the Regensburg city council for the on-demand collection of waste bins. Europe has a lot of historic cities like Regensburg with narrow streets and huge building walls, some made from granite and fieldstones, which often represents an insurmountable obstacle to wireless data transmission. The reduction of the road traffic volume poses an additional challenge for city planners. By means of networked planning and simulation software, the situation, state and efficiency of citywide logistic services can be monitored and optimized. In the course of such optimizations, we propose the combination of digital and logistic services. As an example, we show that monitoring state information, such as the waste bin fill levels, can be accomplished using the same vehicles and the same planning software, that is used for luggage transportation. Moreover, we describe how we adapted a solver for a variant of the TSP, namely the prize-collecting traveling salesman, to optimize the route planning dynamically.}, language = {en} }