NDLI: Online shortest path routing: The value of information

Content Provider	IEEE Xplore Digital Library
Author	Zhenhua Zou Proutiere, A. Johansson, M.
Copyright Year	2014
Description	Author affiliation: KTH-R. Inst. of Technol., Stockholm, Sweden (Zhenhua Zou; Proutiere, A.; Johansson, M.)
Abstract	This paper studies online shortest path routing over dynamic multi-hop networks. Link costs or delays are time-varying and modelled by independent and identically distributed random processes, whose parameters are initially unknown. The parameters, and hence the optimal path, can only be estimated by routing packets through the network and observing the realized delays. Our aim is to find a routing policy that minimizes the regret (the cumulative delay difference) between the path chosen by the policy and the unknown optimal path. We formulate the problem as a combinatorial bandit optimization problem and consider several scenarios that differ in where routing decisions are made and in the information available when making the decision. For each scenario, we derive the tight asymptotic lower bound on the regret that has to be satisfied by any online routing policy. These bounds help us to understand the performance improvements we can expect when (i) taking routing decisions at each hop rather than at the source only, and (ii) observing per-link costs rather than aggregate path costs. In particular, we show that (i) is of no use while (ii) can have a spectacular impact. Efficient algorithms are proposed and evaluated against the state-of-the art.
Starting Page	2142
Ending Page	2147
File Size	455774
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859133
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Routing Delays Indexes Aggregates Optimization Heuristic algorithms Numerical models Control of networks Control of communication networks Learning
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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