NDLI: A study of deadline scheduling for client-server systems on the Computational Grid

Content Provider	IEEE Xplore Digital Library
Author	Takefusa, A. Casanova, H. Matsuoka, S. Berman, F.
Copyright Year	2001
Description	Author affiliation: Japan Soc. for the Promotion of Sci., Tokyo Inst. of Technol., Japan (Takefusa, A.)
Abstract	The Computational Grid is a promising platform for the deployment of various high-performance computing applications. A number of projects have addressed the idea of software as a service on the network. These systems usually implement client-server architectures with many servers running on distributed Grid resources and have commonly been referred to as network-enabled servers (NES). An important question is that of scheduling in this multi-client multi-server scenario. Note that in this context most requests are computationally intensive as they are generated by high-performance computing applications. The Bricks simulation framework has been developed and extensively used to evaluate scheduling strategies for NES systems. The authors first present recent developments and extensions to the Bricks simulation models. They discuss a deadline scheduling strategy that is appropriate for the multi-client multi-server case, and augment it with "Load Correction" and "Fallback" mechanisms which could improve the performance of the algorithm. We then give Bricks simulation results. The results show that future NES systems should use deadline scheduling with multiple fallbacks and it is possible to allow users to make a trade-off between failure-rate and cost by adjusting the level of conservatism of deadline scheduling algorithms.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Distributed Process.
Starting Page	406
Ending Page	415
File Size	809306
Page Count	10
File Format	PDF
ISBN	0769512968
ISSN	10828907
DOI	10.1109/HPDC.2001.945208
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Client-server systems Processor scheduling Grid computing Computer applications Network servers Computational modeling Scheduling algorithm Application software Computer architecture Costs
Content Type	Text
Resource Type	Article

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