Improving Cluster Computing Performance Based on Job Futurity Prediction

摘要：

By recognizing the necessity for preventative and proactive management for todays large scale and fault prone distributed systems, a tendency for these mechanisms has been appeared in recent researchers efforts. From the birth point of this opinion, event prediction has been known as an effective approach to manage errors preventively. In this work, we attempt to make system performance better by using a job futurity predictor as an advisor for system scheduler. We have a clear sighted vision of failure sources and therefore use a comprehensive data set of system, user and job domains. Using predictor results leads to a significant improvement in performance metrics.

关键词： cluster computing job futurity prediction job scheduling failure rate

作者: Hossein Salami Hamid Saadatfar Farhad Rahmani Fard S.Kazem Shekofteh Hossein Deldari

作者单位: Parallel and Distributed Processing Lab, Engineering DepartmentFerdowsi University of MashhadMashhad and Distributed Processing Lab, Engineering DepartmentFerdowsi University of MashhadMashhad, Iran Parallel and Distributed Processing Lab, Engineering Department Ferdowsi University of Mashhad Mashh

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）