Scalable distributed scheduling for quality of service

Authors:
Moohun Lee;Sungja Choi;Janguk In;Changbok Jang;Sunghoon Cho;Euiin Choi
Affiliations:
Dept. of Computer Engineering, Hannam University, Daejeon, Korea;Dept. of Computer Engineering, Hannam University, Daejeon, Korea;Dept. of Computer and Information Science and Engineering, University of Florida, Gainesville, FL;Dept. of Computer Engineering, Hannam University, Daejeon, Korea;Dept. of Computer Engineering, Hannam University, Daejeon, Korea;Dept. of Computer Engineering, Hannam University, Daejeon, Korea
Venue:
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Year:
2006

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Abstract

A grid consists of high-end computational, storage, and network resources that, while known a priori, are dynamic with respect to activity and availability. Efficient scheduling of requests to use grid resources must adapt to this dynamic environment while meeting administrative policies. This paper discusses a framework for distributed resource management. The framework has the following novel features. First, the resource management system is distributed using resource content information that is characterized by system properties. We argue that a distributed system based on resource content is sufficient to satisfy specific scheduling requests for global Quality of Service (QoS) considering workload balance across a grid. Second, the distributed system constructs a hierarchical peer-to-peer network. This peered network provides an efficient message routing mechanism. The simulation results demonstrate that the proposed framework is proficient to satisfy QoS in distributed environment.