Adaptive model predictive control of autonomic distributed parallel computations with variable horizons and switching costs

Summary Autonomic computing is a paradigm for building systems capable of adapting their operation when external changes occur, such as workload variations, load surges and changes in the resource availability. The optimal configuration in terms of the number of computing resources assigned to each...

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Bibliographic Details

Published in:	Concurrency and computation Vol. 28; no. 7; pp. 2187 - 2212
Main Author:	Mencagli, G.
Format:	Journal Article
Language:	English
Published:	Blackwell Publishing Ltd 01.05.2016
Subjects:	autonomic computing Computation Costs Decision making distributed cooperative optimization Horizon Mathematical models model predictive control parallel computing Predictive control Reconfiguration Strategy
ISSN:	1532-0626, 1532-0634
Online Access:	Get full text
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