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Transition to congestion in communication/computation networks: from ideal to realistic resource allocation via Montecarlo simulations [article]

Marco Cogoni, Giovanni Busonera, Paolo Anedda, Gianluigi Zanetti
2016 arXiv   pre-print
The execution time (or latency) of each task is statically computed and the sum is used as the energy in a Montecarlo simulation in which the temperature parameter controls the resource allocation optimality  ...  We generalize previous studies on critical phenomena in communication networks by adding computational capabilities to the nodes to better describe real-world situations such as cloud computing.  ...  (SA) as a baseline for comparing any real-world routing algorithm: a performance metric could be defined inversely proportional to the temperature at which the Montecarlo should be run to obtain the same  ... 
arXiv:1412.4071v2 fatcat:l7aypjwwbnhllk3tbdnmcfvkm4