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The performance of multiprogrammed multiprocessor scheduling algorithms

Published: 01 April 1990 Publication History

Abstract

Scheduling policies for general purpose multiprogrammed multiprocessors are not well understood. This paper examines various policies to determine which properties of a scheduling policy are the most significant determinants of performance. We compare a more comprehensive set of policies than previous work, including one important scheduling policy that has not previously been examined. We also compare the policies under workloads that we feel are more realistic than previous studies have used. Using these new workloads, we arrive at different conclusions than reported in earlier work. In particular, we find that the “smallest number of processes first” (SNPF) scheduling discipline performs poorly, even when the number of processes in a job is positively correlated with the total service demand of the job. We also find that policies that allocate an equal fraction of the processing power to each job in the system perform better, on the whole, than policies that allocate processing power unequally. Finally, we find that for lock access synchronization, dividing processing power equally among all jobs in the system is a more effective property of a scheduling policy than the property of minimizing synchronization spin-waiting, unless demand for synchronization is extremely high. (The latter property is implemented by coscheduling processes within a job, or by using a thread management package that avoids preemption of processes that hold spinlocks.) Our studies are done by simulating abstract models of the system and the workloads.

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cover image ACM Conferences
SIGMETRICS '90: Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems
April 1990
273 pages
ISBN:0897913590
DOI:10.1145/98457
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 April 1990

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  • (2015)Self-Boosted Co-scheduling for SMP Virtual Machines2015 IEEE 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems10.1109/MASCOTS.2015.34(154-163)Online publication date: Oct-2015
  • (2013)Disk-Cache and Parallelism Aware I/O Scheduling to Improve Storage System PerformanceProceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing10.1109/IPDPS.2013.59(357-368)Online publication date: 20-May-2013
  • (2012)Exploration of heuristic scheduling algorithms for 3D multicore processorsProceedings of the 15th International Workshop on Software and Compilers for Embedded Systems10.1145/2236576.2236579(22-31)Online publication date: 15-May-2012
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  • (2011)A greedy heuristic approximation scheduling algorithm for 3d multicore processorsProceedings of the 2011 international conference on Parallel Processing10.1007/978-3-642-29737-3_32(281-291)Online publication date: 29-Aug-2011
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