Cost and QoS Optimization of Cloud-Based Content Distribution Networks Using Evolutionary Algorithms

Santiago Iturriaga,Sergio Nesmachnow,Gerardo Goñi,Andrei Tchernykh,Bernabé Dorronsoro

doi:10.1007/978-3-030-16205-4_22

Cost and QoS Optimization of Cloud-Based Content Distribution Networks Using Evolutionary Algorithms

Santiago Iturriaga, Sergio Nesmachnow + Show 3 more

https://doi.org/10.1007/978-3-030-16205-4_22

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Publication Date: Jan 1, 2019

Citations: 2

Affiliation: Universidad de la República, Center for Scientific Research and Higher Education at Ensenada, University of Cádiz

#Brokering Model #Cost Of Distribution Networks + Show 8 more

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Abstract

This work addresses the multi-objective resource provisioning problem for building cloud-based CDNs. The optimization objectives are the minimization of VM, network and storage cost, and the maximization of the QoS for the end-user. A brokering model is proposed such that a single cloud-based CDN is able to host multiple content providers applying a resource sharing strategy. Following this model, an offline multiobjective evolutionary approach is applied to optimize resource provisioning while a greedy heuristic is proposed for addressing online routing of content. Experimental results indicate the proposed approach may reduce total costs by up to 10.6% while maintaining high QoS values.

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