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User-Transparent Scheduling for Software Components on the Grid

  • 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

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Metadaten
Author:Câtâlin L. Dumitrescu, Dick H. J. Epema, Jan DünnweberORCiDGND
DOI:https://doi.org/10.1007/978-0-387-72812-4_4
ISBN:978-0-387-72811-7
Parent Title (English):Achievements in European Research on Grid Systems
Publisher:Springer
Place of publication:Boston, MA
Editor:Sergei Gorlatch, Marian Bubak, Thierry Priol
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2008
Release Date:2021/11/10
Tag:Co-Allocation; Component Technology; Higher-Order Components; User-Transparent Scheduling
First Page:41
Last Page:53
Konferenzangabe:Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, HPDC-15, Paris, France, June 19-23, 2006
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Labor Parallele und Verteilte Systeme
Publication:Externe Publikationen
research focus:Digitalisierung