Paper Info
Title
Evaluating the performance of multi-path routing and congestion control in presence of network resource management
Abstract
Network traffic is increasing in size and is becoming more and more dynamic leading to unpredictable and highly variable traffic patters. Multi-path routing is a valuable online technique to deal with such trend, mostly for intra-domain TE, multi-homing, wireless mesh networks, metropolitan access networks and has been shown efficient for a large spectrum of future traffic scenarios. In this paper we present MIRTO, a distributed multi-path routing protocol that jointly uses best path selection and flow control for optimality and stability. MIRTO is feedback based and is designed around some key observations inferred from optimization. We analyze MIRTO's performance and we compare it with TEXCP and TRUMP, two other recently proposed multi-path routing algorithms. On a US-like backbone network, with and without in-network fair queuing schedulers, our algorithm proves to work as better as the other two while relying on simpler feedbacks and consuming less network resources. Modeling and analysis of such algorithms is performed through fluid models, based on ordinary differential equations (ODEs).
Year
DOI
Venue
2009
10.1109/ICUMT.2009.5345465
St. Petersburg
Keywords
Field
DocType
routing protocols,telecommunication congestion control,telecommunication network management,telecommunication traffic,US-like backbone network,best path selection,congestion control,distributed multipath routing protocol,flow control,fluid models,in-network fair queuing schedulers,intradomain TE,metropolitan access networks,multihoming,network resource management,network traffic,ordinary differential equations,stability,wireless mesh networks
Multihoming,Dynamic Source Routing,Static routing,Computer science,Computer network,Network congestion,Wireless mesh network,Backbone network,Distributed computing,Routing protocol,Fair queuing
Conference
ISBN
Citations 
PageRank 
978-1-4244-3941-6
4
0.43
References 
Authors
14
2
Name
Order
Citations
PageRank
Luca Muscariello140.43
Diego Perino274050.54