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PDP
2009
IEEE
14 years 2 months ago
Effects of Job and Task Placement on Parallel Scientific Applications Performance
—this paper studies the influence that task placement may have on the performance of applications, mainly due to the relationship between communication locality and overhead. Thi...
Javier Navaridas, Jose Antonio Pascual, José...
ICDCS
2000
IEEE
13 years 11 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
ANOR
2010
130views more  ANOR 2010»
13 years 4 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
GCC
2004
Springer
14 years 23 days ago
Hybrid Performance-Oriented Scheduling of Moldable Jobs with QoS Demands in Multiclusters and Grids
This paper addresses the dynamic scheduling of moldable jobs with QoS demands (soft-deadlines) in multiclusters. A moldable job can be run on a variable number of resources. Three ...
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, X...
HPDC
2006
IEEE
14 years 1 months ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of efficient execution of a batch of data-intensive tasks with batch-shared I/O behavior, on coupled storage and compute clusters. Two scheduling...
Gaurav Khanna 0002, Nagavijayalakshmi Vydyanathan,...