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We propose a method for increasing incentives for sites to host
arbitrary mobile agents in which mobile agents purchase their computing
needs from host sites. We present a scalable market-based CPU allocation
policy and an on-line algorithm that plans a mobile agent's expenditure
over a multihop ordered itinerary. The algorithm chooses a set of sites
at which to execute and computational priorities at each site to minimize
execution time while preserving a prespecified budget constraint. We
present simulation results of our algorithm to show that our allocation
policy and planning algorithm scale well as more agents are added to the
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Jonathan Bredin, David Kotz, and Daniela Rus, "Mobile-Agent Planning in a Market-Oriented Environment." Dartmouth Computer Science Technical Report PCS-TR99-345, May 1999.
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