• DocumentCode
    137015
  • Title

    Maximizing utility among selfish users in social groups

  • Author

    Pananjady, Ashwin ; Bagaria, Vivek Kumar ; Vaze, Rahul

  • fYear
    2014
  • fDate
    Feb. 28 2014-March 2 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We consider the problem of a social group of users trying to obtain a “universe” of files, first from a server and then via exchange amongst themselves. We consider the selfish file-exchange paradigm of give-and-take, whereby two users can exchange files only if each has something unique to offer the other. We are interested in maximizing the number of users who can obtain the universe through a schedule of file-exchanges. We first present a practical paradigm of file acquisition. We then present an algorithm which ensures that at least half the users obtain the universe with high probability for n files and m = O (log n) users when n → ∞, thereby showing an approximation ratio of 2. Extending these ideas, we show a 1+∈1 - approximation algorithm for m = O (n), ∈1 > 0 and a (1 + z)/2 + ∈2 - approximation algorithm for m = O (nz), z > 1, ∈2 > 0. Finally, we show that for any m = O (eo(n)), there exists a schedule of file exchanges which ensures that at least half the users obtain the universe.peer-to-peer networkpeer-to-peer network
  • Keywords
    computational complexity; file organisation; iterative methods; peer-to-peer computing; trees (mathematics); approximation algorithm; approximation ratio; deterministic iterative tree-splitting algorithm; file acquisition; peer-to-peer network; selfish file-exchange paradigm; selfish users; server; social groups; utility maximization; Approximation algorithms; Approximation methods; Frequency modulation; Partitioning algorithms; Peer-to-peer computing; Schedules; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2014 Twentieth National Conference on
  • Conference_Location
    Kanpur
  • Type

    conf

  • DOI
    10.1109/NCC.2014.6811252
  • Filename
    6811252