Institute of Information Systems (IIS, SRH Berlin)
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The purpose of this work is to provide a representative survey of current trends in the perception, assessment and adoption of cloud computing within the enterprise. Cloud computing can be regarded as the general principle for using and providing web and grid services. First, we provide a meta-study, where we evaluate existing and published empirical studies. Furthermore, we conduct and evaluate an own empirical study with a representative group of European and International enterprises. Key findings of the work include the significantly higher importance of Business Drivers for the adoption of cloud computing, as compared to Technical Drivers.
Enterprises today often strive to keep up with the paces of technological development. A particular case in point is the IT function where traditional governance approaches are often questioned by technology trends. Examples for such trends in the last ten years are the service-oriented architecture (SOA) and cloud computing. The introduction of SOA in the enterprise was one of the key enablers for cloud computing. Therefore, it can serve as a natural fit for bringing traditional IT governance approaches forward to the challenges of cloud governance. This article presents an approach for extending IT governance mindsets to the areas of SOA and cloud governance. It allows an IT organisation the adaptation and the continuous usage of already established governance knowledge and models during the adoption of cloud computing solutions. The authors also present an application case study where they demonstrate the feasibility of the approach in real-life scenarios in the context of an international telecommunication provider.
Knowledge of behavioral patterns of a system can contribute to an optimized management and governance of the same system, or of similar systems. While human experience often manifests itself as intuition, intuition can be notoriously misleading, particularly in the case of quantitative data and subtle relations between different data sets. This article augments managerial intuition with knowledge derived from a specific byproduct of automated transaction processing performance and log data of the processing software. More specifically, the authors consider data generated by incident management and ticketing systems within IT support departments. The authors’ approach utilizes a rigorous analysis methodology based on System Dynamics. This allows for identifying real causalities and hidden dependencies between different datasets. The authors can then use them to derive and assemble knowledge bases for improved management and governance in this context. This approach is able to provide more in depth insights as compared to typical data visualization and dashboard techniques. In the experimental results section, the authors demonstrate the feasibility of the approach. It is applied on real life datasets and log files from an international telecommunication provider and considered different improvements in management and governance that result from it.
Dependability should be considered throughout the phases of the SOA life cycle. This article proposes the application of a service level management approach to address dependability and presents dependability-related activities for every stage (Model, Assemble, Deploy, and Manage) of the SOA life cycle. Furthermore, we describe the concepts and the formalisms that are behind these activities. Following these activities service providers and aggregators can offer optimized levels of dependability from their existing services and thus better meet user requirements.
Cloud Computing is emerging as a predominant paradigm for obtaining and providing computing functionality in the enterprise. Organizations that are planning to use cloud computing offerings struggle with the question “How do I choose the right offering?” Cloud offerings exhibit a variety of pricing models and different levels of service and functionality. In this article the authors define first Cloud Computing in the context of IT Governance. Then they set criteria to compare different offerings at the level of Software-as-a-Service (SaaS). This is an important precondition for the reduction of the verifiable information asymmetry and uncertainty in the cloud market. Besides deficiencies on the supply side, regarding configuration, display and communication of service bundles, the limited knowledge of potential buyers is main reason for the modest adoption. The authors apply strategies derived from information economics to reduce this asymmetry by integrating information substitutes in the service marketplace description, thereby transforming experience and credence qualities into search qualities.
When optimizing IT operations organizations typically aim to optimize resource usage. In general, there are two kinds of IT resources - IT infrastructures and IT staff. An optimized utilization of these resources requires both quantitative and qualitative analysis. While IT infrastructures can offer raw data for such analyses, data about IT staff often requires additional preparation and augmentation. One source for IT staff-related data can be provided by incident management and ticketing systems. While performance data from such systems is often stored in logfiles it is rarely evaluated extensively. In this article we propose the usage of such data sources for IT staff behavior evaluation and also present the relevant augmentation techniques. We claim that our approach is able to provide more in-depth insights as compared to typical data visualization and dashboard techniques. Our modeling methodology is based on the approach of system dynamics. We also provide formal models and simulation results where we demonstrate the feasibility of the approach using real-life logfiles from an international telecommunication provider.
IT departments within enterprises often utilize incident management and ticketing systems. While performance data from such systems is often stored in logfiles it is rarely evaluated extensively. In this work we assess the applicability of an approach for extended evaluation of logged data from such systems. Our evaluation is focused on Key Performance Indicators (KPIs) and aims to discover more in-depth insights as compared to typical data visualization and dashboard techniques.
We also present a practical case study where we demonstrate the feasibility of the approach using real-life logfiles from an international telecommunication provider. Our modeling methodology is based on the approach of System Dynamics.
Service-oriented architecture (SOA) in the enterprise was one of the key enablers for cloud computing. Therefore, it can serve as a natural fit for bringing traditional IT governance approaches forward to the challenges of cloud governance. In this work we present an approach for mapping IT governance mindsets to the aspects of SOA governance. It allows an IT organisation the adaptation and the continuous usage of already established governance models during the adoption of cloud computing solutions. We also present an application case study where we demonstrate the feasibility of the approach in real-life scenarios in the context of an international telecommunication provider.
The smart grid development in Latin America shows a big gap in the amount of research and development when compared with the USA and EU where the topic has been active for almost 10 years. In this context two different models and expert surveys are used in this study to evaluate the readiness level of the city of Medellin to adopt smart grid technologies. The results of this study show that the City has the utilities, the knowledge, the universities and the human resource to become a role model in the region. But an effort to integrate all the actors and impulse a common agenda is required. The utility companies need to lead this development, but regulators, academia and industry must back up this endeavor and enable Medellin to lead the power grid development of the next years in the region.
Berlin ist eine der großen europäischen Hauptstädte mit einem breiten Angebot an öffentlichen Dienstleistungen (Public Services). 2003 hat der Berliner Senat den „Landesbetrieb für Gebäudebewirtschaftung" (LfG) gegründet, der die Facility Management Aktivitäten des Landes bündelt. Seit 2005 wird zusammen mit der TU Berlin der Einsatz innovativer Informations-technologien (IT) in diesem Bereich konsequent erweitert. Die Kombination aus einer unauffälligen (unobtrusiven) IT-Infrastruktur und einer flächendeckenden und kontextbezogenen Einsetzbarkeit wird oft als ambient bezeichnet und stellt sehr spezifische Anforderungen an die Gestaltung der Mensch-Maschine-Interaktionen. In diesem Beitrag wird die Gestaltung eines Systems für die Ver- und Entsorgung als Teil der Facility Management Aufgaben beschrieben. Ausgehend von der Beschreibung unseres Vorgehensmodells zur Erhebung der Ist-Prozesse und Usability Evaluation, werden in einem zweiten Schritt Nutzerprofile erstellt und die Ist-Prozesse um diese erweitert. Die zweite Hälfte des Beitrags beschreibt das eingeführte, ambiente Ver- und Entsorgungssystem, zusammen mit einigen Interaktionsszenarien. Abschließend erfolgt eine Evaluierung der Wirtschaftlichkeit und der Usability des Systems.