DocumentCode
170847
Title
Joint static and dynamic traffic scheduling in data center networks
Author
Zizhong Cao ; Kodialam, Murali ; Lakshman, T.V.
Author_Institution
New York Univ., New York, NY, USA
fYear
2014
fDate
April 27 2014-May 2 2014
Firstpage
2445
Lastpage
2453
Abstract
The advent and continued growth of large data centers has led to much interest in switch architectures that can economically meet the high capacities needed for interconnecting the thousands of servers in these data centers. Various multilayer architectures employing thousands of switches have been proposed in the literature. We make use of the observation that the traffic in a data center is a mixture of relatively static and rapidly fluctuating components, and develop a combined scheduler for both these components using a generalization of the load-balanced scheduler. The presence of the known static component introduces asymmetries in the ingress-egress capacities, which preclude the use of a load-balanced scheduler as is. We generalize the load-balanced scheduler and also incorporate an opportunistic scheduler which sends traffic on a direct path when feasible to enhance the overall switch throughput. Our evaluations show that this scheduler works very well despite avoiding the use of a central scheduler for making packet-by-packet scheduling decisions.
Keywords
computer centres; local area networks; multiprocessor interconnection networks; processor scheduling; resource allocation; telecommunication switching; telecommunication traffic; data center networks; ingress-egress capacities; joint static-and-dynamic traffic scheduling; load-balanced scheduler; multi- layer architectures; opportunistic scheduler; overall switch throughput enhancement; packet-by-packet scheduling decisions; static component; top-of-rack Ethernet switch; Computer architecture; Dynamic scheduling; Matrix decomposition; Optical switches; Schedules; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM, 2014 Proceedings IEEE
Conference_Location
Toronto, ON
Type
conf
DOI
10.1109/INFOCOM.2014.6848190
Filename
6848190
Link To Document