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.
Bredin, Jonathan; Kotz, David; and Rus, Daniela, "Mobile-Agent Planning in a Market-Oriented Environment" (1999). Open Dartmouth: Faculty Open Access Articles. 3342.