Mobile agent based adaptive scheduling mechanism in peer to peer grid computing

  • Authors:

  • SungJin Choi;MaengSoon Baik;ChongSun Hwang;JoonMin Gil;HeonChang Yu

  • Affiliations:

  • Dept. of Computer Science and Engineering, Korea University, Seoul, Republic of Korea;Dept. of Computer Science and Engineering, Korea University, Seoul, Republic of Korea;Dept. of Computer Science and Engineering, Korea University, Seoul, Republic of Korea;Korea Institute of Science and Technology Information (KISTI);Dept. of Computer Science Education, Korea University

  • Venue:
  • ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
  • Year:
  • 2005

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Abstract

In a peer to peer grid computing environment, volunteers are exposed to failures such as crash and link failures. In addition, since volunteers can dynamically join and leave executions and they are not dedicated only to a peer to peer grid computing, the executions of volunteers are stopped or suspended more frequently than in a grid computing environment. These failures result in the delay and blocking of the executions of tasks and even partial or entire loss of the executions. In addition, these failures make it difficult for a volunteer server to schedule tasks and manage the allocated tasks as well as volunteers. Existing peer to peer grid computing systems, however, do not deal with these failures in scheduling mechanisms. Moreover, since existing scheduling mechanisms are performed only by a volunteer server in a centralized way, there is a high overhead. To solve these problems, we propose a mobile agent based adaptive scheduling mechanism (MAASM). We implemented MAASM in Korea@Home and ODDUGI mobile agent system. The MAASM reduces the overhead of volunteer server by using mobile agents in scheduling procedure in a distributed way. In addition, it tolerates the various failures(especially, volunteer autonomy failures) which frequently occur in a peer to peer grid computing environment. Consequently, MAASM guarantees reliable and continuous executions in spite of the failures, so it decreases total execution time.