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Titlebook: Network Control and Engineering for QoS, Security and Mobility II; IFIP TC6 / WG6.2 & W Dominique Gaïti,Guy Pujolle,Lazhar Khriji Book 2003

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Scheduling Requests on Multi-Stage Multi-Server to Increase Quality of Service,ugh minimizing the average completion time of a set of requests. This problem is known to be an NP-hard combinatorial problem. We show that the problem can modeled as a flexible flowshop problem for which few heuristics exist in the flowshop scheduling literature. We propose a new heuristic for this
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Analysis of Policy Management Models and Specification Languages,within a managed system. We will motivate, analyze, and classify all major existing policy notations through several criteria and try to consider the consistent merging of their strengths into a more appropriate framework. We also propose a set of enhancing features to existing policy specification
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Diffserv Network Control Using a Behavioral Multi-Agent System,ity, adaptability and security. The Internet will so support service convergence for this next network’s generation. It also has to provide and guarantee Quality of Services to different types of services, where each service may get its own requirements. Providing and managing such networks is not a
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Adaptive AIFS in Wireless LAN,arantee a Qos for real time and multimedia applications. However the parameters used in EDCF are static and don’t takes into account the instantaneous wireless link fluctuation, and applications requirements. In this work, we propose a new MAC access protocol AAIFS (Adaptive Arbitration InterFrame S
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Teletraffic Engineering of Multi-Band W-CDMA Systems,many parameters have to be taken into account. In this paper we present a method to evaluate the state space of multi-band overlaid W-CDMA system, and we present a very powerful algorithm, the ., to evaluate time, call and traffic blocking probabilities for each service. A service is modelled as BPP
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Enabling Distributed QoS Management Utilizing Active Network Technology,esented and the current solutions for distributed network management are discussed. The proposed architecture focuses on the QoS management for DiffSery architecture. The improvements that our architecture offers are presented through a service example, which involves QoS configurations.
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