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An Adaptable Job Submission System Based on Moderate Price-Adjusting Policy in Market-Based Grids

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Abstract

A market-based computational grid is made up of large sets of heterogeneous and geographically distributed resources that are gathered into virtual organizations for executing consumer’s applications. One of the most important challenges in market-based grid systems is the management of grid users, which is called resource providers and consumers. The existing methods provide some alternative mechanisms for this problem, but they are not fully adequate. To address this problem, we propose an enhanced approach for adjusting price of grid resource using new effective parameters of microeconomic issue and also for prioritizing current jobs in the queue. This proposed approach is integrated with a cooperative method among local schedulers to accept jobs based on auction model. The results conclude that the inclusion of new parameters in price-adjusting affects the payment budget and job submission behavior of the schedulers. The evaluations of experimental results prove a remarkable performance of the proposed approach in diverse conditions and job workloads.

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Authors and Affiliations

  1. Faculty of Information Technology and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran

    Asgarali Bouyer

  2. Department of Computer, Tabriz Branch, Islamic Azad University, Tabriz, Iran

    Bahman Arasteh

Authors
  1. Asgarali Bouyer
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  2. Bahman Arasteh
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Correspondence to Asgarali Bouyer.

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Bouyer, A., Arasteh, B. An Adaptable Job Submission System Based on Moderate Price-Adjusting Policy in Market-Based Grids. Wireless Pers Commun 73, 1573–1590 (2013). https://doi.org/10.1007/s11277-013-1267-9

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