Quality of Service Control in High-Speed Networks
Quality of Service Control in High-Speed Networks
A taxonomy for resource discovery
Personal and Ubiquitous Computing
Service level agreements for DiffServ-based services' provisioning
Journal of Network and Computer Applications
Software Deployment, Past, Present and Future
FOSE '07 2007 Future of Software Engineering
Inter-domain routing: Algorithms for QoS guarantees
Computer Networks: The International Journal of Computer and Telecommunications Networking
Internet QoS: pieces of the puzzle
IEEE Communications Magazine
The case for interdomain dynamic QoS-based service negotiation in the internet
Computer Communications
Quality of service terminology in IP networks
IEEE Communications Magazine
End-to-end QoS specification issues in the converged all-IP wired and wireless environment
IEEE Communications Magazine
Technical challenges in the delivery of interprovider QoS
IEEE Communications Magazine
Comparative study of protocols for dynamic service negotiation in the next-generation Internet
IEEE Communications Magazine
Simplifying network administration using policy-based management
IEEE Network: The Magazine of Global Internetworking
SLA-controlled interconnection charging in next generation networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
The end-to-end QoS guarantee framework for interworking WiMAX PMP and mesh networks with Internet
Computers and Electrical Engineering
Hi-index | 0.24 |
This article addresses an open issue of end-to-end service specification and mapping in next generation networks. A centralized approach has been considered, via the third party agent that manages negotiation process in a group of domains. We suggest a general structure of the service specification form, which contains technical parameters related with a particular service request. Relying on such general form, we further propose and evaluate an efficient algorithm for service class selection. The algorithm selects the most appropriate class for each domain by determining the closest conformance between the required and offered service level. We also present a numerical example that demonstrates operating of the algorithm. Performance evaluation has been performed on the prototype implementation. Results of the analysis have pointed out the following important advantages of our approach: fairness in resource consumption, flexibility in class selection according to specific management policy and adaptability to different quality of service models.