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Common characteristics of these networks are that they have entities, such as jobs, packets, vehicles, customers or molecules, that move along routes, wait in buffers, receive processing from various resources ... Stochastic processing networks arise as models in manufacturing, telecommunications, transportation, computer systems, the customer service industry and biochemical reaction networks. ... Thus such a queue with a single server, Poisson arrivals and independent, exponentially distributed service times would be denoted M/M/1, and M/GI/1 would indicate a singleserver queue with Poisson arrivals ...doi:10.1146/annurev-statistics-010814-020141 fatcat:7mcq3ujtrnh4jnx63kp7xpgydy
A comprehensive review of existing technologies on these three topics is elaborated subsequently. ... We begin by presenting the carbon footprint of data centers, as well as some insights into the major sources of carbon emissions. ... A new service efficiency metric is proposed based on the M/GI/1 Processor Sharing (PS) queue model to evaluate the service efficiency of a data center. ...arXiv:2110.09284v3 fatcat:gwlgrioigbedzauyeaopdlxngu