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This paper presents a practical solution to a typical datacenter problem which may deteriorate network efficiency in a many to one transmission session, which is called the TCP Incast problem. In Incast, the completion time of the whole session depends on the last finishing flow. To address such problem, we propose an adaptation mechanism which always selects sufficient leading flows to slow down...
TCP Incast is one of the typical datacenter problems that may affect network efficiency in a many to one transmission session, in which the completion time of the whole session depends on the last finishing flow. In this paper a session-aware mechanism is proposed that intelligently chooses only the leading flows to slow down at the presence of congestion, so the lagging ones will have a higher chance...
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