%T Mobile-Agent Planning in a Market-Oriented Environment %A Jonathan Bredin %A David Kotz %A Daniela Rus %R Technical Report PCS-TR99-345 %I Dartmouth College, Computer Science %C Hanover, NH %D May 1999 %U http://www.cs.dartmouth.edu/reports/TR99-345.ps.Z %X 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 system. %Z See related papers.