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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Xin Han

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Main positions:Professor
Gender:Male
Alma Mater:Kyoto University
Degree:Doctoral Degree
School/Department:Software School
Discipline:Computer Software and Theory. Operation Research and Control Theory
Contact Information:hanxin@dlut.edu.cn 0086-411-62274404
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Current position: Home >> Scientific Research >> Paper Publications

Online buffer management for transmitting packets with processing cycles

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Indexed by:期刊论文

Date of Publication:2018-05-02

Journal:THEORETICAL COMPUTER SCIENCE

Included Journals:SCIE、EI、Scopus

Volume:723

Page Number:73-83

ISSN No.:0304-3975

Key Words:Buffer management; Competitive analysis; Online scheduling; Run-to-completion

Abstract:We study an online buffer management problem under the model introduced by Azar and Gilon (2015) [5] recently. Unit-sized packets arrive and are kept in a First-In-First-Out buffer of size B in an online fashion at a network server. Each packet is associated with an arrival time, a value and a processing cycle time in the buffer. The density of a packet is defined to be the ratio of its value to processing time. It is assumed that every packet can be transmitted only after its processing cycle is completed and only the packet at the head of the buffer can be processed. A packet is allowed to be preempted and then discarded from the buffer. But, the value of a packet is attained only if it is successfully transmitted. Under the model, the objective of online buffer management is to maximize the total value of transmitted packets. This model finds applications to packet scheduling in communication networks.
   In this study, we consider the model with constant density from a theoretical perspective. We first propose some lower bounds for the problem. Azar and Gilon obtained a 4-competitive algorithm for the online buffer management problem for packets with constant density. Here, we present a (2 + 1/B-1)-competitive algorithm for the case B > 1 as well as its generalization to the multi-buffer model, Moreover, we prove that the competitive ratio of a deterministic online algorithm is at least four when the buffer size is one, We also conduct experiments to demonstrate the superior performance of the proposed online algorithm against the previous approach. (C) 2018 Elsevier B.V. All rights reserved.