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Dynamic Decision Engine for Data Connections Routing

Authors:
Sajjad Ali Mushtaq
Christophe Lohr
Annie Graver

Keywords: Decision Engine, Multi-Criteria Decision Making (MCDM), Connection Dropping Probability, Throughput

Abstract:
Companies nowadays are subscribing links to several Internet Service Providers (ISPs) for reliability, redundancy and better revenues underlying the service extension, while providing good Quality of Service (QoS). A dynamic decision making framework is presented for SOCKS based data services over a multihomed platform that is primarily architectured for multimedia services. The decision engine takes multiple criteria (attributes from context of the request, platform’s latest conditional parameters, business objectives of the company, etc.) into account while computing the routing decision. Two Multi-Criteria Decision Making (MCDM) methods, namely Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used for weight calculation and decision-making respectively. The system supports outsourcing and provisioning decision enforcement modes. The proposed solution gives higher throughput and lower connection dropping probability with an add-on susceptible delay while fulfilling the desired goals, taking into account the multiple attributes for choosing the best alternative.

Pages: 104 to 111

Copyright: Copyright (c) IARIA, 2011

Publication date: June 19, 2011

Published in: conference

ISSN: 2308-443X

ISBN: 978-1-61208-141-0

Location: Luxembourg City, Luxembourg

Dates: from June 19, 2011 to June 24, 2011