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Advanced Internet services increasingly rely on many components to implement their functionality. These composite services have three important features: they are expensive to deploy, components need to be placed intelligently close to the users to improve quality of experience and they will potentially consume significant amounts of bandwidth. This paper presents Triptych, a multi-objective optimisation framework that tries to optimise according these three dimensions to help the three main stakeholders in the Internet ecosystem: users, application providers and network providers. Triptych implements evolutionary computation approaches for this complex problem, which simultaneously optimise service deployment costs, latency-based user utility and network congestion. These algorithms provide possible operating points, bringing important tools for network managements and resource allocation. A large set of simulations under different scenarios are provided to validate the algorithms.
Internet, bandwidth allocation, application providers, service deployment costs, synchronisation, telecommunication network management, composite services, resource allocation, quality of experience, network providers, latency-based user utility, bandwidth usage, application delay, evolutionary computation, network managements, Advanced Internet services, multiobjective optimisation framework, telecommunication traffic, network congestion, Triptych, Internet ecosystem
Internet, bandwidth allocation, application providers, service deployment costs, synchronisation, telecommunication network management, composite services, resource allocation, quality of experience, network providers, latency-based user utility, bandwidth usage, application delay, evolutionary computation, network managements, Advanced Internet services, multiobjective optimisation framework, telecommunication traffic, network congestion, Triptych, Internet ecosystem
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