EcoTop: an economic model for dynamic processing of top-k queries in mobile-P2P networks

  • Authors:
  • Nilesh Padhariya;Anirban Mondal;Vikram Goyal;Roshan Shankar;Sanjay Kumar Madria

  • Affiliations:
  • IIIT, Delhi, India;IIIT, Delhi, India;IIIT, Delhi, India;NSIT, Delhi, India;Missouri University of Science and Technology, Rolla

  • Venue:
  • DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
  • Year:
  • 2011

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Abstract

This work addresses the processing of top-k queries in mobile ad hoc peer to peer (M-P2P) networks using economic schemes. Our proposed economic model, designated as EcoTop, issues economic rewards to the mobile peers, which send relevant data items (i.e., those that contribute to the top-k query result), and penalizes peers for sending irrelevant items, thereby incentivizing the optimization of communication traffic. The main contributions of our work are three-fold. First, we propose the EcoTop economic model for efficient top-k query processing in M-P2P networks. Second, we propose two schemes, namely ETK and ETK+, for assigning rewards/penalties to peers and for enabling peers to re-evaluate the scores of their data items for item re-ranking purposes. Third, we conduct a performance study, which demonstrates that EcoTop is indeed effective in improving the performance of top-k queries, while minimizing the communication traffic. Notably, our novel economic incentive model also discourages free-riding in M-P2P networks