@inproceedings{SchuettSchintkeReinefeld2003, author = {Sch{\"u}tt, Thorsten and Schintke, Florian and Reinefeld, Alexander}, title = {Efficient Synchronization of Replicated Data in Distributed Systems}, volume = {2657}, booktitle = {Computational Science - ICCS 2003, International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings, Part I}, editor = {Sloot, Peter and Abramson, David and Bogdanov, Alexander and Dongarra, Jack and Zomaya, Albert and Gorbachev, Yuri}, publisher = {Springer}, doi = {10.1007/3-540-44860-8_28}, pages = {274 -- 283}, year = {2003}, language = {en} } @inproceedings{RoeblitzSchintkeReinefeld2003, author = {R{\"o}blitz, Thomas and Schintke, Florian and Reinefeld, Alexander}, title = {From Clusters to the Fabric: The Job Management Perspective}, booktitle = {2003 IEEE International Conference on Cluster Computing (CLUSTER 2003), 1-4 December 2003, Kowloon, Hong Kong, China}, publisher = {IEEE Computer Society}, doi = {10.1109/CLUSTR.2003.1253351}, pages = {468 -- 473}, year = {2003}, language = {en} } @article{ReinefeldSchintke2003, author = {Reinefeld, Alexander and Schintke, Florian}, title = {Grid Computing in Deutschland}, journal = {Spektrum der Wissenschaft}, publisher = {Spektrum der Wissenschaft Verlagsgesellschaft, Heidelberg}, pages = {72 -- 73}, year = {2003}, language = {en} } @article{SchintkeReinefeld2003, author = {Schintke, Florian and Reinefeld, Alexander}, title = {Modeling Replica Availability in Large Data Grids}, volume = {1}, journal = {J. Grid Computing}, number = {2}, doi = {10.1023/B:GRID.0000024086.50333.0d}, pages = {219 -- 227}, year = {2003}, language = {en} } @article{AblyazimovAbuhozaAdaketal.2017, author = {Ablyazimov, T. and Abuhoza, A. and Adak, R. P. and Reinefeld, Alexander and Schintke, Florian and et al.,}, title = {Challenges in QCD matter physics - The scientific programme of the Compressed Baryonic Matter experiment at FAIR}, journal = {The European Physical Journal A}, doi = {10.1140/epja/i2017-12248-y}, year = {2017}, language = {en} } @article{SalemSchintkeSchuettetal.2017, author = {Salem, Farouk and Schintke, Florian and Sch{\"u}tt, Thorsten and Reinefeld, Alexander}, title = {Supporting various interconnects in FLESnet using Libfabric}, journal = {CBM Progress Report 2016}, isbn = {978-3-9815227-4-7}, pages = {159 -- 160}, year = {2017}, language = {en} } @inproceedings{FajerskiNoackReinefeldetal.2016, author = {Fajerski, J. and Noack, Matthias and Reinefeld, Alexander and Schintke, Florian and Sch{\"u}tt, Thorsten and Steinke, Thomas}, title = {Fast In-Memory Checkpointing with POSIX API for Legacy Exascale-Applications}, booktitle = {SPPEXA Symposium 2016}, doi = {10.1007/978-3-319-40528-5_19}, year = {2016}, language = {en} } @misc{ReinefeldStuebenSchintkeetal.2002, author = {Reinefeld, Alexander and St{\"u}ben, Hinnerk and Schintke, Florian and Din, George}, title = {GuiGen: A Toolset for Creating Customized Interfaces for Grid User Communities}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-6737}, number = {02-06}, year = {2002}, abstract = {\textsf{\itshape{GuiGen}} is a comprehensive set of tools for creating customized graphical user interfaces (GUIs). It draws from the concept of computing portals, which are here seen as interfaces to application-specific computing services for user communities. While \textsf{\itshape{GuiGen}} was originally designed for the use in computational grids, it can be used in client/server environments as well. Compared to other GUI generators, \textsf{\itshape{GuiGen}} is more versatile and more portable. It can be employed in many different application domains and on different target platforms. With \textsf{\itshape{GuiGen}}, application experts (rather than computer scientists) are able to create their own individually tailored GUIs.}, language = {en} } @misc{ReinefeldSchintkeSchuett2007, author = {Reinefeld, Alexander and Schintke, Florian and Sch{\"u}tt, Thorsten}, title = {P2P Routing of Range Queries in Skewed Multidimensional Data Sets}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-9671}, number = {07-23}, year = {2007}, abstract = {We present a middleware to store multidimensional data sets on Internet-scale distributed systems and to efficiently perform range queries on them. Our structured overlay network \emph{SONAR (Structured Overlay Network with Arbitrary Range queries)} puts keys which are adjacent in the key space on logically adjacent nodes in the overlay and is thereby able to process multidimensional range queries with a single logarithmic data lookup and local forwarding. The specified ranges may have arbitrary shapes like rectangles, circles, spheres or polygons. Empirical results demonstrate the routing performance of SONAR on several data sets, ranging from real-world data to artificially constructed worst case distributions. We study the quality of SONAR's routing information which is based on local knowledge only and measure the indegree of the overlay nodes to find potential hot spots in the routing process. We show that SONAR's routing table is self-adjusting, even under extreme situations, keeping always a maximum of \$\lceil \log N \rceil\$ routing entries.}, language = {en} } @misc{SchuettSchintkeReinefeld2005, author = {Sch{\"u}tt, Thorsten and Schintke, Florian and Reinefeld, Alexander}, title = {Chord\#: Structured Overlay Network for Non-Uniform Load-Distribution}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-8736}, number = {05-40}, year = {2005}, abstract = {\newcommand{\chordsharp}{Chord\$^\\#\#\$} Data lookup is a fundamental problem in peer-to-peer systems: Given a key, find the node that stores the associated object. Chord and other P2P algorithms use distributed hash tables (DHTs) to distribute the keys and nodes evenly across a logical ring. Using an efficient routing strategy, DHTs provide a routing performance of \$O (\log N)\$ in networks of \$N\$ nodes. While the routing performance has been shown to be optimal, the uniform key distribution makes it impossible for DHTs to support range queries. For range queries, consecutive keys must be stored on lo gically neighboring nodes. In this paper, we present an enhancement of Chord that eliminates the hash function while keeping the same routing performance. The resulting algorithm, named \chordsharp{}, provides a richer function ality while maintaining the same complexity. In addition to Chord, \chordsharp{} adapts to load imbalance.}, language = {en} }