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Competitive queue policies for differentiated services
Authors:William A. Aiello, Yishay Mansour, S. Rajagopolan,Adi Ros  n
Affiliation:a AT&T Labs-Research, 180 Park Avenue, Florham Park, NJ 07932, USA;b School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel;c Telcordia Technologies, 445 South street, Morristown, NJ 07960, USA;d Department of Computer Science, Technion, Haifa 32000, Israel
Abstract:We consider the setting of a network providing differentiated services. As is often the case in differentiated services, we assume that the packets are tagged as either being a high priority packet or a low priority packet. Outgoing links in the network are serviced by a single FIFO queue.Our model gives a benefit of α1 to each high priority packet and a benefit of 1 to each low priority packet. A queue policy controls which of the arriving packets are dropped and which enter the queue. Once a packet enters the queue it is eventually sent. The aim of a queue policy is to maximize the sum of the benefits of all the packets it sends.We analyze and compare different queue policies for this problem using the competitive analysis approach, where the benefit of the online policy is compared to the benefit of an optimal offline policy. We derive both upper and lower bounds for the policies we consider. We believe that competitive analysis gives important insight to the performance of these queuing policies.
Keywords:
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