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Many recent studies show that data center networks usually mix with a large amount of latency‐agnostic background flows and a large number of latency‐sensitive flows. The former, although contributing most of the traffic, is deadline‐agnostic, while the latter always confronts a soft‐real‐time constraint, namely deadline. Missing this deadline may cause performance impairment. For this reason, directly...
A modern data center may host tens of thousands of machines, mixing with hundreds of thousands flows. Large number of flows concurrently traverse in a data center network may frequently cause traffic burst and unbalance, which may further induce congestion, packet losing, and therefore low efficiency. Generally speaking, there are three large families of scheduling algorithms to address this problem:...
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