Resource Scheduling in Grid Computing Networks to Maximize Business Value

6 Pages Posted: 22 Feb 2006

See all articles by Subodha Kumar

Subodha Kumar

Temple University - Department of Marketing and Supply Chain Management

Kaushik Dutta

Florida International University (FIU) - Department of Decision Sciences & Information Systems

Vijay Mookerjee

University of Texas at Dallas - Naveen Jindal School of Management

Abstract

Until very recently, grid computing was popular only in the research arena. However recent business reports suggest that enterprises are working towards implementing enterprise wide grids to share and utilize their vastly distributed computing resources. An important problem that arises in the area of grid computing is one of optimally assigning jobs to resources to achieve a business objective. In the grid computing area, however, such scheduling has mostly been done from the perspective of maximizing the utilization of hardware resources. As this form of computing proliferates, the business aspects of scheduling decisions in grid computing will become crucial for the overall success of the technology. In this paper, we discuss the grid scheduling problem from a business perspective and propose a heuristic-based real time solution technique.

Keywords: Distributed computing, Emerging Technologies, Integer programming, Heuristics.

JEL Classification: C61, D61

Suggested Citation

Kumar, Subodha and Dutta, Kaushik and Mookerjee, Vijay, Resource Scheduling in Grid Computing Networks to Maximize Business Value. 15th Annual Workshop on Information Technolgies & Systems (WITS) Paper. Available at SSRN: https://ssrn.com/abstract=885441 or http://dx.doi.org/10.2139/ssrn.885441

Subodha Kumar (Contact Author)

Temple University - Department of Marketing and Supply Chain Management ( email )

Philadelphia, PA 19122
United States

Kaushik Dutta

Florida International University (FIU) - Department of Decision Sciences & Information Systems ( email )

University Park
Miami, FL 33199
United States

Vijay Mookerjee

University of Texas at Dallas - Naveen Jindal School of Management ( email )

P.O. Box 830688
Richardson, TX 75083-0688
United States

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