— 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...
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...
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...
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...
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 ...