DocumentCode
2441638
Title
Achieve constant performance guarantees using asynchronous crossbar scheduling without speedup
Author
Pan, Deng ; Makki, Kia ; Pissinou, Niki
Author_Institution
Florida Int. Univ., Miami, FL, USA
fYear
2010
fDate
19-23 April 2010
Firstpage
1
Lastpage
12
Abstract
Buffered crossbar switches are special crossbar switches with a small exclusive buffer at each crosspoint of the crossbar. They demonstrate unique advantages, such as variable length packet handling and distributed scheduling, over traditional unbuffered crossbar switches. The current main approach for buffered crossbar switches to provide performance guarantees is to emulate push-in-first-out output queued switches. However, such an approach has several drawbacks, and in particular it has difficulty in providing tight constant performance guarantees. To address the issue, we propose in this paper the guaranteed-performance asynchronous packet scheduling (GAPS) algorithm for buffered crossbar switches. GAPS intends to provide tight performance guarantees, and requires no speedup. It directly handles variable length packets without segmentation and reassembly, and makes scheduling decisions in a distributed manner. We show by theoretical analysis that GAPS achieves constant performance guarantees. We also prove that GAPS has a bounded crosspoint buffer size of 3L, where L is the maximum packet length. Finally, we present simulation data to verify the analytical results and show the effectiveness of GAPS.
Keywords
packet switching; queueing theory; telecommunication switching; asynchronous crossbar scheduling; buffered crossbar switch; distributed scheduling; guaranteed performance asynchronous packet scheduling algorithm; performance guarantee; variable length packet handling; Analytical models; Bandwidth; Delay; Global Positioning System; Packet switching; Performance analysis; Round robin; Scheduling algorithm; Switches; Throughput; buffered crossbar switches; performance guarantees; speedup;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium on
Conference_Location
Atlanta, GA
ISSN
1530-2075
Print_ISBN
978-1-4244-6442-5
Type
conf
DOI
10.1109/IPDPS.2010.5470456
Filename
5470456
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