CPU utilization, throughput, turnaround time, waiting time, and response time are the factor to influence system performance. Every system uses different scheduling algorithms to a...
Homer Wu, Chong-Yen Lee, Wuu-Yee Chen, Tsang-Yean ...
Grid computing systems utilize distributive owned and geographically dispersed resources for providing a wide variety of services for various applications. It is possible that the...
Abstract. This paper presents a simulator for of a decentralized modular grid scheduler named MaGate. MaGate’s design emphasizes scheduler interoperability by providing intellige...
Scheduling is a key concern for the execution of performancedriven Grid applications. In this paper we comparatively examine different existing approaches for scheduling of scient...
Data streaming applications, usually composed with sequential/parallel tasks in a data pipeline form, bring new challenges to task scheduling and resource allocation in grid envir...