TY - JOUR A1 - Sander, Volker A1 - Fidler, Markus A1 - Klimala, Wojciech T1 - Traffic shaping in aggregate-based networks: implementation and analysis / Fidler, Markus ; Sander, Volker ; Klimala, Wojciech JF - Computer Communications. 28 (2005), H. 3 Y1 - 2005 SN - 0140-3664 SP - 274 EP - 286 ER - TY - JOUR A1 - Berretz, F. A1 - Skorupa, S. A1 - Sander, Volker A1 - Belloum, A. T1 - Towards an actor-driven workflow management system for grids JF - International Symposium on Collaborative Technologies and Systems (CTS), 2010 : 17 - 21 May 2010, Chicago, Illinois, USA / IEEE Y1 - 2010 SN - 978-1-4244-6619-1 SP - 611 EP - 616 PB - IEEE CY - Piscataway, NJ ER - TY - JOUR A1 - Gerhards, M. A1 - Skorupa, S. A1 - Sander, Volker A1 - Pfeiffer, P. A1 - Belloum, A. T1 - Towards a security framework for a WS-HumanTask processor JF - 7th International Conference on Network and Service Management (CNSM), 2011 Paris Y1 - 2011 SN - 978-3-901882-44-9 SP - 1 EP - 5 PB - IEEE CY - New York ER - TY - CHAP A1 - Krome, Cornelia A1 - Sander, Volker T1 - Time series analysis with apache spark and its applications to energy informatics T2 - Proceedings of the 7th DACH+ Conference on Energy Informatics N2 - In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark. Y1 - 2018 U6 - http://dx.doi.org/10.1186/s42162-018-0043-1 N1 - Energy Informatics 2018, Volume 1 Supplement 1 ER - TY - JOUR A1 - Sander, Volker A1 - Czajkowski, K. A1 - Foster, I. A1 - Kesselman, C. T1 - SNAP: A Protocol for Negotiating Service Level Agreements and Coordinating Resource Management in Distributed Systems / Czajkowski, K. ; Foster, I. ; Kesselman, C. ; Sander, V. ; Tuecke, S. JF - Job Scheduling Strategies for Parallel Processing : 8th InternationalWorkshop, JSSPP 2002 Edinburgh, Scotland, UK, July 24, 2002. Revised Papers Y1 - 2002 SN - 3-540-00172-7 N1 - Lecture Notes in Computer Science ; 2537 ; JSSPP <8, 2002, Edinburgh > SP - 153 EP - 183 PB - Springer CY - Berlin ER - TY - CHAP A1 - Gerhards, Michael A1 - Sander, Volker A1 - Belloum, Adam T1 - Seamlessly enabling the use of cloud resources in workflows T2 - Cloud Computing 2013 : The Fourth International Conference on Cloud Computing, GRIDs, and Virtualization : May 27 - June 1, 2013 - Valencia, Spain Y1 - 2013 SN - 978-1-61208-271-4 SP - 108 EP - 114 PB - Curren CY - Red Hook, NY ER - TY - BOOK A1 - Sander, Volker T1 - Optical Network Infrastructure for Grid / Simeonidou, Dimitra ... (ed.) Y1 - 2004 N1 - GFD-I.036 Category: Informational ; GHPN-RG PB - Global Grid Forum ER - TY - CHAP A1 - Bozakov, Zdravko A1 - Sander, Volker T1 - OpenFlow: A Perspective for Building Versatile Networks T2 - Network-Embedded Management and Applications Y1 - 2013 SN - 978-1-4419-6769-5 U6 - http://dx.doi.org/10.1007/978-1-4419-6769-5_11 SP - 217 EP - 245 PB - Springer CY - New York, NY ER - TY - JOUR A1 - Krott, Daniel A1 - Gerhards, Michael A1 - Skorupa, Sascha A1 - Sander, Volker T1 - NHiLA - Bridging the Gap Between .NET and UNICORE JF - UNICORE Summit 2011 : proceedings, 7-8 July 2011, Torun, Poland / Mathilde Romberg ... (Eds.) Y1 - 2011 SN - 9783893367504 N1 - UNICORE Summit ; (2011 ; 2011.07.07-08 ; Torun) ; Schriften des Forschungszentrums Jülich IAS Series 9 SP - 77 EP - 86 PB - Forschungszentrum Jülich CY - Jülich ER - TY - JOUR A1 - Gerhards, Michael A1 - Sander, Volker A1 - Zivkovic, Miroslav A1 - Belloum, Adam A1 - Bubak, Marian T1 - New approach to allocation planning of many‐task workflows on clouds JF - Concurrency and Computation: Practice and Experience N2 - Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario. Y1 - 2020 U6 - http://dx.doi.org/10.1002/cpe.5404 SN - 1532-0634 VL - 32 IS - 2 Article e5404 SP - 1 EP - 16 PB - Wiley CY - Chichester ER -