Distributed job scheduling on computational Grids using multiple simultaneous requests

Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to processor utilization, it is important to consider the response times of jobs in evaluating the performance of grid schedu...

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Vydáno v:11th International Symposium on High-Performance Distributed Computing (HPDC-11 2002) s. 359 - 366
Hlavní autoři: Subramani, V., Kettimuthu, R., Srinivasan, S., Sadayappan, S.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 2002
Témata:
Computational modeling
Delay
Distributed computing
Grid computing
Information science
Metacomputing
Performance loss
Processor scheduling
Runtime
Supercomputers
ISBN:0769516866, 9780769516868
ISSN:1082-8907
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Abstract Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to processor utilization, it is important to consider the response times of jobs in evaluating the performance of grid scheduling strategies. In this paper we propose distributed scheduling algorithms that use multiple simultaneous requests at different sites. Trace-based simulations show that the use of multiple simultaneous requests provides significant performance benefits. We also show how this scheme can be adapted to provide priority to local jobs, without much loss of performance.
AbstractList Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to processor utilization, it is important to consider the response times of jobs in evaluating the performance of grid scheduling strategies. In this paper we propose distributed scheduling algorithms that use multiple simultaneous requests at different sites. Trace-based simulationsshow that the use of multiple simultaneous requests provides significant performance benefits. We also show how this scheme can be adapted to provide priority to local jobs, without much loss of performance.
Even though middleware support for grid computing has been the subject of extensive research, scheduling policies for the grid context have not been much studied. In addition to processor utilization, it is important to consider the response times of jobs in evaluating the performance of grid scheduling strategies. In this paper we propose distributed scheduling algorithms that use multiple simultaneous requests at different sites. Trace-based simulations show that the use of multiple simultaneous requests provides significant performance benefits. We also show how this scheme can be adapted to provide priority to local jobs, without much loss of performance.
Author Subramani, V.
Srinivasan, S.
Sadayappan, S.
Kettimuthu, R.
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  surname: Sadayappan
  fullname: Sadayappan, S.
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StartPage 359
SubjectTerms Computational modeling
Delay
Distributed computing
Grid computing
Information science
Metacomputing
Performance loss
Processor scheduling
Runtime
Supercomputers
Title Distributed job scheduling on computational Grids using multiple simultaneous requests
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