Abstract
Distributed load managers exhibit thrashing where tasks are repeatedly moved between locations due to incomplete global load information. This paper shows that systems of Autonomous Mobile Programs (AMPs) exhibit the same behaviour, identifying two types of redundant movement and terming them greedy effects. AMPs are unusual in that, in place of some external load management system, each AMP periodically recalculates network and program parameters and may independently move to a better execution environment. Load management emerges from the behaviour of collections of AMPs. The paper explores the extent of greedy effects by simulation, and then proposes negotiating AMPs (NAMPs) to ameliorate the problem. We present the design of AMPs with a competitive negotiation scheme (cNAMPs), and compare their performance with AMPs by simulation. © 2010 IEEE.
Original language | English |
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Title of host publication | Proceedings - 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2010 |
Pages | 343-346 |
Number of pages | 4 |
Volume | 2 |
DOIs | |
Publication status | Published - 2010 |
Event | 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Toronto, ON, Canada Duration: 31 Aug 2010 → 3 Sept 2010 |
Conference
Conference | 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology |
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Abbreviated title | IAT 2010 |
Country/Territory | Canada |
City | Toronto, ON |
Period | 31/08/10 → 3/09/10 |
Keywords
- Autonomous mobile program
- Greedy effect
- Load balancing
- Mobile agent
- Mobile computation
- Scheduling
- Workflow management