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Scheduling data transfers in a network and the set scheduling problem
Authors:Ashish Goel  Monika R Henzinger  Serge Plotkin  Eva Tardos  
Institution:a Departments of Management Science and Engineering and (by courtesy) Computer Science, Stanford University, Stanford, CA 94305, USA;b Google Inc., Mountain View, USA;c Department of Computer Science, Stanford University, Stanford, CA 94305, USA;d Department of Computer Science, Cornell University, Ithaca, NY 14853, USA
Abstract:In this paper we consider the online ftp problem. The goal is to service a sequence of file transfer requests given bandwidth constraints of the underlying communication network. The main result of the paper is a technique that leads to algorithms that optimize several natural metrics, such as max-stretch, total flow time, max flow time, and total completion time. In particular, we show how to achieve optimum total flow time and optimum max-stretch if we increase the capacity of the underlying network by a logarithmic factor. We show that the resource augmentation is necessary by proving polynomial lower bounds on the max-stretch and total flow time for the case where online and offline algorithms are using same-capacity edges. Moreover, we also give polylogarithmic lower bounds on the resource augmentation factor necessary in order to keep the total flow time and max-stretch within a constant factor of optimum.
Keywords:Scheduling  Flow time
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