User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers

This paper presents a performance analysis of market-based batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as the basis for system evaluation. Each user is modeled as having a utility function for each job which measures value deli...

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Published inCluster Computing and the Grid (CCGrid 2002): 2nd IEEE International Symposium p. 30
Main Authors Chun, B.N., Culler, D.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
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ISBN9780769515823
0769515827
DOI10.1109/CCGRID.2002.1017109

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Abstract This paper presents a performance analysis of market-based batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as the basis for system evaluation. Each user is modeled as having a utility function for each job which measures value delivered to the user as function of execution time. Summing over all utility functions in the workload, we use aggregate utility as a measure of overall value delivered to users. With aggregate utility as the performance metric, simulations are used to quantify the performance of both market-based and traditional batch scheduling algorithms under a variety of synthetic work-loads. Results show that an auction-based batch scheduling algorithm improves performance by a factor of up to 2-5x for sequential workloads and up to 14x for highly parallel workloads compared to traditional scheduling algorithms.
AbstractList This paper presents a performance analysis of market-based batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as the basis for system evaluation. Each user is modeled as having a utility function for each job which measures value delivered to the user as function of execution time. Summing over all utility functions in the workload, we use aggregate utility as a measure of overall value delivered to users. With aggregate utility as the performance metric, simulations are used to quantify the performance of both market-based and traditional batch scheduling algorithms under a variety of synthetic work-loads. Results show that an auction-based batch scheduling algorithm improves performance by a factor of up to 2-5x for sequential workloads and up to 14x for highly parallel workloads compared to traditional scheduling algorithms.
Author Culler, D.E.
Chun, B.N.
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Snippet This paper presents a performance analysis of market-based batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric...
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StartPage 30
SubjectTerms Aggregates
Clustering algorithms
Computer science
Cost accounting
Feedback
Performance analysis
Processor scheduling
Resource management
Scheduling algorithm
Time measurement
Title User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
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