A Strategy for Selecting Super-Peer in P2P and Grid Based Hybrid System

  • Authors:
  • Sheng-Hui Zhao;Gui-Lin Chen;Guo-Xin Wu;Ning Qian

  • Affiliations:
  • Department of Computer Science & Technology, Chuzhou University, Anhui, China and School of Computer Science & Engineering, Southeast University, Nanjing, China;Department of Computer Science & Technology, Chuzhou University, Anhui, China;School of Computer Science & Engineering, Southeast University, Nanjing, China;School of Computer Science & Engineering, Southeast University, Nanjing, China

  • Venue:
  • Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
  • Year:
  • 2008

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Abstract

With the explosive increase of digital resources, the efficiency of searching resources has become a key problem. Both P2P and Grid are distributed network system, which provide good platforms for storing resources. In the hybrid system merging Grid and P2P, using super-peers can get better effect of searching resources. Combining the characteristics of P2P with Grid, a super-peer selection strategy is proposed. In the experiments, success rate of query resources and query delay are evaluated respectively, as well as the comparison between our selection strategy and random selection method. The results show that super-peer by our selection strategy can improve efficiency of querying resources, decrease query delay and accelerate the querying rate.