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Gloa: a new job scheduling algorithm for grid computing

  • Autores: Zahra Pooranian, Mohammad Shojafar, Jemal H. Abawajy, Mukesh Singhal
  • Localización: IJIMAI, ISSN-e 1989-1660, Vol. 2, Nº. 1, 2013, págs. 59-64
  • Idioma: inglés
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  • Resumen
    • The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infrastructure pose a major challenge for efficient resource allocation. Because of the geographical spread of resources and their distributed management, grid scheduling is considered to be a NP-complete problem. It has been shown that evolutionary algorithms offer good performance for grid scheduling. This article uses a new evaluation (distributed) algorithm inspired by the effect of leaders in social groups, the group leaders' optimization algorithm (GLOA), to solve the problem of scheduling independent tasks in a grid computing system. Simulation results comparing GLOA with several other evaluation algorithms show that GLOA produces shorter makespans.


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