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Postel, P. e. a. Transmission control protocol specification, 1981. ARPA Working Group Requests for Comment DDN Network Information Center, SRI International, Menlo Park, CA, RFC-793.

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This paper is cited in the following contexts:
Dynamically Forecasting Network Performance Using the Network.. - Wolski (1998)   (129 citations)  (Correct)

....5 = K = 50. Stochastic gradient or recursive prediction error estimators are powerful predictive techniques with recursive formulations [27] For example, modern implementations of the TCP IP protocol include a dynamic predictor of end to end round trip time based on stochastic gradient filter [30]. We follow the exposition of the technique provided in [22] which includes a description of a very efficient implementation for the Unix kernel. We define GRAD(t; g) 1 Gamma g) GRAD(t Gamma 1; g) g value(t) 10) for a gain (0 g 1) The choice of g controls the accuracy with which ....

Postel, P. e. a. Transmission control protocol specification, 1981. ARPA Working Group Requests for Comment DDN Network Information Center, SRI International, Menlo Park, CA, RFC-793.


Forecasting Network Performance to Support Dynamic Scheduling.. - Wolski (1997)   (73 citations)  (Correct)

....5 = K = 50. Stochastic gradient or recursive prediction error estimators are powerful predictive techniques with recursive formulations [25] For example, modern implementations of the TCP IP protocol include a dynamic predictor of end toend round trip time based on stochastic gradient filter [28]. We follow the exposition of the technique provided in [22] which includes a description of a very efficient implementation for the Unix kernel. We define GRAD(t; g) 1 Gamma g) GRAD(t Gamma 1; g) g value(t) 10) for a gain (0 g 1) The choice of g controls the accuracy with which ....

P. e. a. Postel. Transmission control protocol specification, 1981. ARPA Working Group Requests for Comment DDN Network Information Center, SRI International, Menlo Park, CA, RFC-793.

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