DocumentCode
2084899
Title
Routing Optimization for Ensemble Routing
Author
Wu, Wenfei ; Turner, Yoshio ; Schlansker, Mike
Author_Institution
Univ. of Wisconsin-Madison, Madison, WI, USA
fYear
2011
fDate
3-4 Oct. 2011
Firstpage
97
Lastpage
98
Abstract
The Ensemble Routing architecture (presented at ANCS 2010) implements multipath routing for data center networks. Rather than managing individual flows, ensemble routing manages flows in groups or ensembles to provide scalable responsive management using simple hardware. Ensemble Routing combines: routing VLANs that define a set of diverse paths through complex networks, and load balancing algorithms to split traffic among those VLANS and optimize traffic flow. This extended abstract describes improved algorithms for the formation of routing VLANs and traffic load-balancing for Ensemble routing. The VLAN formation algorithms are improved by incorporating traffic flow estimates into the VLAN formation heuristics. The previous load balancing algorithm using a greedy heuristic is replaced by linear programming that determines optimal traffic splitting among VLANs. Simulations show that these mechanisms significantly enhance performance.
Keywords
computer centres; computer network management; greedy algorithms; heuristic programming; linear programming; local area networks; resource allocation; telecommunication network routing; telecommunication traffic; VLAN formation algorithms; VLAN formation heuristics; VLAN routing; data center networks; ensemble routing architecture; greedy heuristic; linear programming; load balancing algorithms; multipath routing; optimal traffic splitting; routing optimization; traffic flow optimization; Approximation algorithms; Heuristic algorithms; Linear programming; Load management; Radiation detectors; Routing; Topology; Linear programming traffic splitting; Routing VLAN placement;
fLanguage
English
Publisher
ieee
Conference_Titel
Architectures for Networking and Communications Systems (ANCS), 2011 Seventh ACM/IEEE Symposium on
Conference_Location
Brooklyn, NY
Print_ISBN
978-1-4577-1454-2
Electronic_ISBN
978-0-7695-4521-9
Type
conf
DOI
10.1109/ANCS.2011.26
Filename
6062722
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