Decision Engine for SIP Based Dynamic Call Routing
Identifieur interne : 002720 ( Main/Exploration ); précédent : 002719; suivant : 002721Decision Engine for SIP Based Dynamic Call Routing
Auteurs : Sajjad Ali Musthaq [France] ; Christophe Lohr [France] ; Annie Gravey [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Enterprises nowadays are subscribing access to several Internet Service Providers (ISPs) for reliability, redundancy and better revenues underlying the service extension, while providing good Quality of Service (QoS). In this paper, a dynamic decision-making framework is presented for Session Initiation Protocol (SIP) based voice/video call routing in multihomed network. The decision engine takes multiple criteria into account while computing the routing decision (attributes from context of the request, platform’s latest conditional parameters, business objectives of the company, etc.). Two Multi-Criteria Decision Making (MCDM) methods, namely Grey Relational Analysis (GRA) and an extended version of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used for decision calculation in outsourcing and provisioning enforcement modes respectively. The proposed solution gives higher throughput and lower call dropping probability while fulfilling the desired goals, taking into account the multiple attributes for choosing the best alternative.
Url:
DOI: 10.1007/978-3-642-21484-4_12
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In this paper, a dynamic decision-making framework is presented for Session Initiation Protocol (SIP) based voice/video call routing in multihomed network. The decision engine takes multiple criteria into account while computing the routing decision (attributes from context of the request, platform’s latest conditional parameters, business objectives of the company, etc.). Two Multi-Criteria Decision Making (MCDM) methods, namely Grey Relational Analysis (GRA) and an extended version of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used for decision calculation in outsourcing and provisioning enforcement modes respectively. The proposed solution gives higher throughput and lower call dropping probability while fulfilling the desired goals, taking into account the multiple attributes for choosing the best alternative.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Région Bretagne</li></region><settlement><li>Brest</li></settlement></list><tree><country name="France"><noRegion><name sortKey="Musthaq, Sajjad Ali" sort="Musthaq, Sajjad Ali" uniqKey="Musthaq S" first="Sajjad Ali" last="Musthaq">Sajjad Ali Musthaq</name></noRegion><name sortKey="Gravey, Annie" sort="Gravey, Annie" uniqKey="Gravey A" first="Annie" last="Gravey">Annie Gravey</name><name sortKey="Gravey, Annie" sort="Gravey, Annie" uniqKey="Gravey A" first="Annie" last="Gravey">Annie Gravey</name><name sortKey="Lohr, Christophe" sort="Lohr, Christophe" uniqKey="Lohr C" first="Christophe" last="Lohr">Christophe Lohr</name><name sortKey="Lohr, Christophe" sort="Lohr, Christophe" uniqKey="Lohr C" first="Christophe" last="Lohr">Christophe Lohr</name><name sortKey="Musthaq, Sajjad Ali" sort="Musthaq, Sajjad Ali" uniqKey="Musthaq S" first="Sajjad Ali" last="Musthaq">Sajjad Ali Musthaq</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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