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CLUSTER
2006
IEEE
13 years 10 months ago
A taxonomy of application scheduling tools for high performance cluster computing
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...
ICPADS
2006
IEEE
14 years 4 months ago
Ensuring Fairness Among Participating Clusters During Multi-site Parallel Job Scheduling
Multi-cluster schedulers can dramatically improve average job turn-around time performance by making use of fragmented node resources available throughout the grid. By carefully m...
William M. Jones, Walter B. Ligon III
CLUSTER
2005
IEEE
14 years 4 months ago
Search-based Job Scheduling for Parallel Computer Workloads
To balance performance goals and allow administrators to declaratively specify high-level performance goals, we apply complete search algorithms to design on-line job scheduling p...
Sangsuree Vasupongayya, Su-Hui Chiang, B. Massey
ICDCS
2000
IEEE
14 years 2 months ago
Improving Distributed Workload Performance by Sharing both CPU and Memory Resources
We develop and examine job migration policies by considering effective usage of global memory in addition to CPU load sharing in distributed systems. When a node is identified fo...
Xiaodong Zhang, Yanxia Qu, Li Xiao
HPDC
2005
IEEE
14 years 4 months ago
A new metric for robustness with application to job scheduling
Scheduling strategies for parallel and distributed computing have mostly been oriented toward performance, while striving to achieve some notion of fairness. With the increase in ...
Darin England, Jon B. Weissman, Jayashree Sadagopa...