Adaptive group scheduling mechanism using mobile agents in peer-to-peer grid computing environment

Sung Jin Choi, Maeng Soon Baik, Joon Min Gil, Soon Young Jung, Chong Sun Hwang

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


Peer-to-peer grid computing is an attractive computing paradigm for high throughput applications. However, both volatility due to the autonomy of volunteers (i.e., resource providers) and the heterogeneous properties of volunteers are challenging problems in the scheduling procedure. Therefore, it is necessary to develop a scheduling mechanism that adapts to a dynamic peer-to-peer grid computing environment. In this paper, we propose a Mobile Agent based Adaptive Group Scheduling Mechanism (MAAGSM). The MAAGSM classifies and constructs volunteer groups to perform a scheduling mechanism according to the properties of volunteers such as volunteer autonomy failures, volunteer availability, and volunteering service time. In addition, the MAAGSM exploits a mobile agent technology to adaptively conduct various scheduling, fault tolerance, and replication algorithms suitable for each volunteer group. Furthermore, we demonstrate that the MAAGSM improves performance by evaluating the scheduling mechanism in Korea@Home.

Original languageEnglish
Pages (from-to)199-221
Number of pages23
JournalApplied Intelligence
Issue number2
Publication statusPublished - 2006 Oct

Bibliographical note

Funding Information:
Acknowledgment This work was supported by the Korea Institute of Science and Technology Information (KISTI).


  • Adaptive scheduling
  • Mobile agent
  • Peer-to-peer grid computing
  • Volunteer group

ASJC Scopus subject areas

  • Artificial Intelligence


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