Mobile-Agent Planning in a Market-Oriented Environment

Jonathan Bredin, Dartmouth College
David Kotz, Dartmouth College
Daniela Rus, Dartmouth College

Dartmouth College Technical Report PCS-TR99-345


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.