NDLI: Evaluation of P2P resource discovery architectures using real-life multi-attribute resource and query characteristics

Content Provider	IEEE Xplore Digital Library
Author	Bandara, H.M.N.D. Jayasumana, A.P.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, 80523, USA (Bandara, H.M.N.D.; Jayasumana, A.P.)
Abstract	Emerging collaborative Peer-to-Peer (P2P) applications rely on resource discovery solutions to aggregate groups of heterogeneous, multi-attribute, and dynamic resources that are distributed. In the absence of data and understanding of real-life resource and query characteristics, design and evaluation of existing solutions have relied on many simplifying assumptions. We first present a summary of resource and query characteristics from PlanetLab. These characteristics are then used to evaluate fundamental design choices for multi-attribute resource discovery based on the cost of advertising/querying resources, index size, and load balancing. Simulation-based analysis indicates that the cost of advertising dynamic attributes is significant and in-creases with the number of attributes. Compared to uniform queries, real-world queries are relatively easier to resolve using unstructured, superpeer, and single-attribute dominated query based structured P2P solutions. However, they cause significant load balancing issues in all the designs where a few nodes are mainly involved in answering majority of queries and/or indexing resources. Moreover, cost of resource discovery in structured P2P systems is effectively O(N) as most range queries are less specific. Thus, many existing design choices are applicable only under specific conditions and their performances tend to degrade under realistic workloads.
Starting Page	634
Ending Page	639
File Size	977363
Page Count	6
File Format	PDF
ISBN	9781457720703
e-ISBN	9781457720710
DOI	10.1109/CCNC.2012.6181143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Advertising Computer architecture Collaboration Load management Indexing simulation Multi-attribute queries peer-to-peer resource discovery
Content Type	Text
Resource Type	Article

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