A Quality-Driven Algorithm for Resource Scheduling Based on Market Model on Grid

Several challenges about computational grid exist in integrating, coordinating and managing of resources and scheduling of applications, due to distributed resources at various levels. In this paper, we employ computational economy as a way to manage and allocate these distributed resources. It can help to rapidly and dynamically select resources meeting users’ functional requirements and satisfying their Quality of Service (QoS), from a large number of resources. An economic scheduling system based on market model is presented. On the basis of studying QoS criteria of resource services, we formulate selection as Multiple Attribute Decision Making (MADM) problem. Then, we introduce MQoS model to evaluate resource services for selection, which consists of the MQoS vector, a decision matrix and a qualitydriven scheduling algorithm. The algorithm is classified as lexicographic and Euclidean Distance algorithm with respect to user’s preference and object impact. It optimizes system pe...

• Type: Conference
• Year: 2007
• Where: ICPPW
• Authors: Lei Tang, Zhiyi Yang, Zhiwen Yu, Yunlan Wang
• Keywords: Computational Grid Exist, Distributed And Parallel Computing, ICPPW 2007, Qualitydriven Scheduling Algorithm, Resource