Dynamic load balancing in distributed systems

We design and evaluate novel adaptive load balancing algorithms for processes in an MIMD architecture. We introduce a gradient descent paradigm to compute on-line load balancing decisions and implement it on an nCube target architecture. Our measurements show that such algorithms will substantially improve distributed system performance.<
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