A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters

TL;DR

This paper proposes a cooperative, incentive-based framework called Grid-Federation for managing distributed clusters in grid computing, improving resource utilization and scheduling efficiency through economic coordination.

Contribution

It introduces a novel economic-based coordination mechanism for distributed resource sharing, addressing limitations of non-coordinated superscheduling in grid environments.

Findings

Enhanced resource utilization through federation coordination

Improved QoS-based scheduling capabilities

Increased overall system utility

Abstract

Research interest in Grid computing has grown significantly over the past five years. Management of distributed resources is one of the key issues in Grid computing. Central to management of resources is the effectiveness of resource allocation as it determines the overall utility of the system. The current approaches to superscheduling in a grid environment are non-coordinated since application level schedulers or brokers make scheduling decisions independently of the others in the system. Clearly, this can exacerbate the load sharing and utilization problems of distributed resources due to suboptimal schedules that are likely to occur. To overcome these limitations, we propose a mechanism for coordinated sharing of distributed clusters based on computational economy. The resulting environment, called \emph{Grid-Federation}, allows the transparent use of resources from the federation when local resources are insufficient to meet its users' requirements. The use of computational economy methodology in coordinating resource allocation not only facilitates the QoS based scheduling, but also enhances utility delivered by resources.