By Santosh Kulkarni, Prathima Agrawal
This publication addresses the necessity to increase TCP’s functionality within facts facilities by way of supplying recommendations which are either sensible and backward suitable with regular TCP types. The authors process this problem first by way of deriving an analytical version for TCP’s functionality less than normal info middle workload site visitors. They then speak about a few recommendations which are designed to enhance TCP functionality through both proactively detecting community congestion via probabilistic retransmission or by way of warding off timeout penalty via dynamic resizing of TCP segments. Experimental effects convey that every of innovations mentioned outperforms normal TCP within an information center.
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Extra info for Analysis of TCP Performance in Data Center Networks
F n sharing the same bottleneck link inside a data center network. e. in a round, all flows send packets in their current congestion window before the next round starts for all of them). For each flow f , the round starts with the back-to-back transmission of W f packets, where W f is the size of the flow’s current congestion window. Once all packets falling within the congestion window of all n flows have been sent in this back-to-back manner, no other packets are sent until each flow f , receives an ACK for one of its W f packets already sent.
This results in a lot of dropped packets and if any flow loses all the packets in its window, then it will enter a timeout period. • Intermediate Block Transfer Timeout (IBTT): Unlike Anterior Block Transfer Timeouts, Intermediate Block Transfer Timeouts are not limited to the start of a block transfer. IBTTs are caused when a participating sender fails to receive enough duplicate ACKs to trigger Fast Recovery following the loss of transmitted packets during a block transfer. The sender waits for a period of time defined by TCP’s timeout before retransmitting its unacknowledged packets.
That is, if the client requests a data block from n servers, it sends request for the next block only after receiving (n × S RU ) bytes of data in total. Next, we measure the throughput of n parallel, synchronized TCP flows at the shared bottleneck link after varying the number of storage servers involved in data transfer. To more accurately model the real-world scheduling variance, we also add a random scheduling delay of up to 20 μs between every consecutive data request from the client. 1 lists various other parameters that were used in our experiments.
Analysis of TCP Performance in Data Center Networks by Santosh Kulkarni, Prathima Agrawal