NDLI: Optimal Decentralized Formation of k-Member Partnerships

Content Provider	IEEE Xplore Digital Library
Author	Chmielowiec, A. van Steen, M.
Copyright Year	2010
Abstract	To keep pace with constantly changing markets, many companies are seeking strategic partnerships. In this paper, we assume that a company can electronically provide a profile of the product or service it has to offer. This profile is described in such a way that potential partners can assess the fitness of the company for eventually teaming up. We concentrate on the fully decentralized optimal formation of teams consisting of k members. This problem boils down to developing a decentralized, efficient algorithm for solving a variant of the maximal weighted k-sub graph problem. We provide a first solution, along with an assessment of its performance, thereby concentrating on the feasibility of an actual embedding in real-world scenarios consisting of thousands of companies. In particular, any solution should be highly adaptive when new or fresh information concerning potential partners comes available.
Starting Page	154
Ending Page	163
File Size	305726
Page Count	10
File Format	PDF
ISBN	9781424485376
DOI	10.1109/SASO.2010.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-27
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Protocols self-organization Peer to peer computing self-stabilization Collaboration variable neighbourhood search overlay networks Companies weighted k-clique matching Internet protocols
Content Type	Text
Resource Type	Article

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