Abstract
With the on-going trends of the telecom services, the number of service providers with similar functionalities is undergoing a rapid growth. The customers face the difficulty to decide which service provider can satisfy their needs and full their requirements. Negotiating contracts between involved parts, and hiding heterogeneity in the distributed network environment has been challenging for telecom operators and service providers. Different languages exist to describe the Service Level Agreement (SLA), which is a contract between a service provider and a customer. However, since each service provider expresses his SLA in his own way, it disrupts the customer's choice of the best service provider, and leads to a bad contract management. In this respect, we propose a novel architecture for service selection, and SLA management between different stakeholders in our network architecture. The idea is to set up a smart broker where we implemented a Multi-Criteria Decision Making (MCDM) method to maximize utility function so that the customer can choose services with required QoS performances. We also came up with the idea of settling a negotiation model for the SLA, and a context based SLA contract ontology in IP Multimedia Subsystem (IMS) network is also proposed to provide users with a clear model to express their requirements and preferences. Moreover, we used the New Generation Operations Systems and Software (NGOSS) Framework to model and analyze networks and services actions. To better understand the relationship and the projection of NGOSS Framework and IMS platform, we introduce an SLA management and monitoring architecture in IMS network.
Highlights
With the existence of Telecom operators; and third-party telecom services, millions of applications/services are becoming tens of millions
A lot of challenges exist in service selection, starting with how a consumer defines his preferences when it comes to QoS parameters, because each consumer has his own requirements, another issue is related to the consumer objectives, for instance, response-time of a number of seconds can be acceptable in a context, and not acceptable in another
Service Broker looks for the service provider that responds to the consumer QoS requirements, he executes the Multi-Criteria Decision Making (MCDM) module to rank services and select the right one
Summary
With the existence of Telecom operators; and third-party telecom services, millions of applications/services are becoming tens of millions. Given the wide variety of services offered by different Telecom service providers, consumers are facing other challenges because of the heterogeneity of different offers, and how to formulate a coherent service request. For this reason, our approach consists on checking the consistency of each consumer request. Providers give more attention to their reputation so the management task is an important point for them to maintain a good impression and keep a proper image For this purpose, we propose management architecture to monitor the network, and our proposition aims at offering an efficient dynamic service discovery and selection solution.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
