DEMOS - a system for discrete event modelling on Simula.

Publisher: Macmillan, ISBN: 978-0-333-23881-3
Source: DBLP
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    ICNS 2012, The Eighth International Conference on Networking and Services; 01/2012
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    ABSTRACT: This paper presents an enhancement to a category of Adaptive Video Streaming solutions aimed at improving both Quality of Service (QoS) and Quality of Experience (QoE). The specific solution used as baseline for the work is the Smooth Streaming framework from Microsoft. The presented enhancement relates to the rate adaptation scheme used, and suggests applying a stochastic or fixed/unique setting of the rate adjustment intervals rather than the default fixed/equal approach. The main novelty of the paper is the simultaneous study of both network oriented fairness in the QoS domain and perception based fairness from the QoE domain, when introducing the suggested mechanism. The method used for this study is by means of simulations, measurements and numerical optimization. Perception based fairness is suggested as an objective QoE metric which, requires no reference to original content. The results show that the suggested enhancement has potential of improving fairness in the QoS domain, while maintaining perception based fairness in the QoE domain
    International Journal on Advances in Networks and Services 12/2012; 5(3&4):291-303. · 24.70 Impact Factor
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    ABSTRACT: This paper targets the problem of efficient software component deployment in distributed networked services. We approach the problem from a model-based service development aspect and propose a solution based on novel methods applied in network management. The swarm intelligence-based deployment logic we have developed uses service models that are defined in UML 2.0. These service models are embellished to contain the non-functional requirements against the implementation of the service that are necessary to solve the component deployment problem and to obtain a deployment mapping. The result of the heuristic optimisation procedure is mappings between the components and the resources provided by the execution environment the service is deployed into. In this work, the deployment is viewed from the perspective of the service provider and our algorithm possesses significant potential in providing adaptation support for services in various changing environments.
    International Journal of Autonomous and Adaptive Communications Systems 01/2011; 4(1):78-99.

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Aug 1, 2014