@article{2406,
  keywords = {Artificial Intelligence, Distributed  Computing, Grid computing, Job Scheduling, Makespan},
  author = {Zahra Pooranian and Mohammad Shojafar and Jemal Abawajy and Mukesh Singhal},
  title = {GLOA: A New Job Scheduling Algorithm for Grid Computing},
  abstract = {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.},
  year = {2013},
  journal = {International Journal of Interactive Multimedia and Artificial Intelligence},
  volume = {2},
  number = {1},
  pages = {59-64},
  month = {03/2013},
  issn = {1989-1660},
  url = {http://www.ijimai.org/journal/sites/default/files/files/2013/03/ijimai20132_18_pdf_62825.pdf},
  doi = {10.9781/ijimai.2013.218},
}