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IJCNN
2006
IEEE
14 years 1 months ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang
JSSPP
2000
Springer
13 years 11 months ago
Time-Sharing Parallel Jobs in the Presence of Multiple Resource Requirements
Abstract. Buffered coscheduling is a new methodology that can substantially increase resource utilization, improve response time, and simplify the development of the run-time suppo...
Fabrizio Petrini, Wu-chun Feng
IPPS
2006
IEEE
14 years 1 months ago
An evaluation of heuristics for SLA based parallel job scheduling
In the context of SLA based job scheduling for high performance grid computing, this paper investigates the behaviour of various scheduling heuristics to schedule SLA-bounded jobs...
Viktor Yarmolenko, Rizos Sakellariou
ANSS
2002
IEEE
14 years 14 days ago
Scheduling a Job Mix in a Partitionable Parallel System
Efficient scheduling of jobs on parallel processors is essential for good performance. However, design of such schedulers is challenging because of the complex interaction between...
Helen D. Karatza, Ralph C. Hilzer Jr.
ANSS
2003
IEEE
14 years 24 days ago
Performance Analysis of Parallel Job Scheduling in Distributed Systems
This paper studies parallel job scheduling in a distributed system. A simulation model is used to address performance issues associated with scheduling. Five policies are used to ...
Helen D. Karatza, Ralph C. Hilzer Jr.