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Exchange of Services in Networks: Competition, Cooperation, and Fairness

Published: 15 June 2015 Publication History

Abstract

Exchange of services and resources in, or over, networks is attracting nowadays renewed interest. However, despite the broad applicability and the extensive study of such models, e.g., in the context of P2P networks, many fundamental questions regarding their properties and efficiency remain unanswered. We consider such a service exchange model and analyze the users' interactions under three different approaches. First, we study a centrally designed service allocation policy that yields the fair total service each user should receive based on the service it offers to the others. Accordingly, we consider a competitive market where each user determines selfishly its allocation policy so as to maximize the service it receives in return, and a coalitional game model where users are allowed to coordinate their policies. We prove that there is a unique equilibrium exchange allocation for both game theoretic formulations, which also coincides with the central fair service allocation. Furthermore, we characterize its properties in terms of the coalitions that emerge and the equilibrium allocations, and analyze its dependency on the underlying network graph. That servicing policy is the natural reference point to the various mechanisms that are currently proposed to incentivize user participation and improve the efficiency of such networked service (or, resource) exchange markets.

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      cover image ACM Conferences
      SIGMETRICS '15: Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
      June 2015
      488 pages
      ISBN:9781450334860
      DOI:10.1145/2745844
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      Published: 15 June 2015

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      Author Tags

      1. competitive equilibriums
      2. network economics

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      • European Union (European Social Fund - ESF) and Greek national funds

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      SIGMETRICS '15 Paper Acceptance Rate 32 of 239 submissions, 13%;
      Overall Acceptance Rate 459 of 2,691 submissions, 17%

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      • (2022)Enabling Long-term Fairness in Dynamic Resource AllocationProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35706066:3(1-36)Online publication date: 8-Dec-2022
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