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Using Cohort Scheduling to Enhance
Server Performance
March 1, 2001
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Download PDF
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BibTex
Authors

James R. Larus

Michael Parkes

Jim Larus
Publication Type
TechReport
Pages
19
Number
MSR-TR-2001-39

Abstract

Related Info
Abstract
A server is commonly organized as a collection of concurrent tasks, each of which runs the
server’s code to process a request. The concurrency is built on threads, processes, or eventdriven code, all of which provide control independent tasks and dynamic scheduling to mitigate
high-latency operations such as I/O and communication. Unfortunately, many of these servers
run poorly on modern processors. Measurements show that these systems utilize only a fraction
of a processor’s potential. In part, this poor performance is attributable to the programs’
software architecture, which frequently jumps between unrelated pieces of code, thereby
reducing the instruction and data locality that is a prerequisite for hardware mechanisms such as
caches, TLB, and branch predictors. This paper describes cohort scheduling, a policy that
increases code and data locality by batching the execution of similar operations across server
requests. Staged computation is a programming model that helps structure programs in a manner
conducive to cohort scheduling. The StagedServer library provides an efficient implementation
of cohort scheduling using this model. Measurements show that cohort scheduling improves
server throughput as much as 13% and reduces CPI as much as 18%.
Related Info
Related Files
 tr-2001-39.doc
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 Microsoft Research Lab - Redmond
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