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Resource Aggregation Effectiveness in Peer-to-Peer Architectures

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Advances in Grid and Pervasive Computing (GPC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5529))

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Abstract

As service-oriented systems emerge toward a fully decentralized collaborative environment, resource aggregation becomes one of the important features to study. In this paper we investigate the effectiveness of resource aggregation in a peer-to-peer architecture with autonomous nodes that can either supply or consume services. We consider various setups concerning the initial endowment of the system with resources, the load with service requests, the intrinsic capability of the system for resource discovery and the subjective valuation of peers concerning the delivered services. We show that for high loads of the system with service requests, the performance of the resource supply does not degrade in the long run and for low loads the resource discovery method combined with the partner selection algorithm succeeds to deliver a better performance.

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Author information

Authors and Affiliations

  1. Babeṣ-Bolyai University, Str. Theodor Mihali 58-60, 400599, Cluj-Napoca, Romania

    Mircea Moca & Gheorghe Cosmin Silaghi

Authors
  1. Mircea Moca
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  2. Gheorghe Cosmin Silaghi
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Editor information

Editors and Affiliations

  1. University of Applied Sicences, Western Switzerland (HES-SO), Rue Prairie 4, 1202, Geneva, Switzerland

    Nabil Abdennadher

  2. Computer Science Department, West University of Timisoara, Timisoara, Romania

    Dana Petcu

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© 2009 Springer-Verlag Berlin Heidelberg

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Moca, M., Silaghi, G.C. (2009). Resource Aggregation Effectiveness in Peer-to-Peer Architectures. In: Abdennadher, N., Petcu, D. (eds) Advances in Grid and Pervasive Computing. GPC 2009. Lecture Notes in Computer Science, vol 5529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01671-4_35

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  • DOI: https://doi.org/10.1007/978-3-642-01671-4_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01670-7

  • Online ISBN: 978-3-642-01671-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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