By Santosh Kulkarni, Prathima Agrawal
This publication addresses the necessity to enhance TCP’s functionality inside of facts facilities by means of supplying recommendations which are either sensible and backward appropriate with typical TCP models. The authors procedure this problem first through deriving an analytical version for TCP’s functionality less than general information heart workload site visitors. They then talk about a few options which are designed to enhance TCP functionality through both proactively detecting community congestion via probabilistic retransmission or by means of heading off timeout penalty via dynamic resizing of TCP segments. Experimental effects convey that every of thoughts mentioned outperforms general TCP within a knowledge middle.
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Extra info for Analysis of TCP Performance in Data Center Networks (SpringerBriefs in Electrical and Computer Engineering)
Txt 15. T. Ylonen, C. Lonvick, The secure shell (SSH) connection protocol, RFC 4254 (Proposed standard), Internet engineering task force, Jan 2006. [Online]. txt 16. J. Schlyter, W. Griffin, Using DNS to securely publish secure shell (SSH) key fingerprints, RFC 4255 (Proposed standard), Internet engineering task force, Jan 2006. [Online]. txt 17. F. Cusack, M. Forssen, Generic message exchange authentication for the secure shell protocol (SSH), RFC 4256 (Proposed standard), Internet engineering task force, Jan 2006.
Let j be the mean number of composite flows experiencing packet loss at the end of a TDP as discussed in the previous subsection. For simplicity, we assume that at most, only one “TO” type loss indication occurs at the end of a TDP. That is, of the j composite flows that lose packets at the end of a TDP, no more than one flow experiences a timeout event. 1 Modeling Incast 47 Fig. 6 Packet and ACK transmissions preceding a loss indication where Q ibtt and Q abtt are probabilities of ending a TDP with a single timeout indication of type IBTT and ABTT respectively.
The senders, upon receiving the request, concurrently transmit a large amount of data to the receiver. The data from all senders traverse a bottleneck link in a many-to-one fashion. As the number of concurrent senders increase, the perceived application-level throughput at the receiver collapses. The application at the receiver sees throughput that is orders of magnitude lower than its link capacity . TCP throughput collapse was first observed in early parallel network storage projects such as NASD .