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 in | Cluster Computing and the Grid (CCGrid 2002): 2nd IEEE International Symposium p. 30 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2002
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Subjects | |
Online Access | Get full text |
ISBN | 9780769515823 0769515827 |
DOI | 10.1109/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. |
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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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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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