DocumentCode :
1796832
Title :
Shared Memory Buffer Management for Heterogeneous Packet Processing
Author :
Eugster, Patrick ; Kogan, Kirill ; Nikolenko, Sergey ; Sirotkin, Alexander
Author_Institution :
Dept. of Comput. Sci., Purdue Univ., West Lafayette, NJ, USA
fYear :
2014
fDate :
June 30 2014-July 3 2014
Firstpage :
471
Lastpage :
480
Abstract :
Packet processing increasingly involves heterogeneous requirements. We consider the well-known model of a shared memory switch with bounded-size buffer and generalize it in two directions. First, we consider unit-sized packets labeled with an output port and a processing requirement (i.e., packets with heterogeneous processing), maximizing the number of transmitted packets. We analyze the performance of buffer management policies under various characteristics via competitive analysis that provides uniform guarantees across traffic patterns (Borodin and El-Yaniv, 1998). We propose the Longest-Work-Drop policy and show that it is at most 2-competitive and at least sqrt 2}-competitive. Second, we consider another generalization, posed as an open problem in [10], where each unit-sized packet is labeled with an output port and intrinsic value, and the goal is to maximize the total value of transmitted packets. We show first results in this direction and define a scheduling policy that, as we conjecture, may achieve constant competitive ratio. We also present a comprehensive simulation study that validates our results.
Keywords :
scheduling; shared memory systems; storage management; bounded-size buffer; buffer management policies; competitive analysis; heterogeneous packet processing; longest-work-drop policy; scheduling policy; shared memory buffer management; shared memory switch; traffic patterns; unit-sized packets; Educational institutions; Memory management; Optimized production technology; Ports (Computers); Switches; Upper bound; admission control; buffer management; competitive analysis; network processor; packet scheduling; shared memory switch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
Conference_Location :
Madrid
ISSN :
1063-6927
Print_ISBN :
978-1-4799-5168-0
Type :
conf
DOI :
10.1109/ICDCS.2014.55
Filename :
6888923
Link To Document :
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