Observations on Using Genetic Algorithms for Dynamic Load-Balancing
IEEE Transactions on Parallel and Distributed Systems
Mobile agents with Java: The Aglet API
World Wide Web
The Vision of Autonomic Computing
Computer
Load Balancing of Autonomous Actors over Dynamic Networks
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
Parallel Computing - Algorithmic skeletons
Autonomic job scheduling policy for grid computing
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Cost-driven autonomous mobility
Computer Languages, Systems and Structures
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To manage load on large and dynamic networks we propose Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute in the network. Unusually this form of autonomous mobility affects only where the program executes and not what it does. We present a generic AMP cost model, together with a validated instantiation and comparative performance results for two AMPs. Experiments on a homogeneous network show that collections of AMPs quickly obtain and maintain optimal or near-optimal balance. The advantages of our decentralised approach are scalability to very large and dynamic networks, improved balance, and guaranteed maximum overhead. The disadvantages are higher overheads and the necessity of both a cost model and explicit mobility control.