Cloud based Content Delivery Network using Genetic Optimization Algorithm for storage cost

Abstract

Use of cloud computing technology and its services have pawed its way into many applications and this is also true in case of Content Delivery Networks. The storage services of cloud environment are replacing the traditional Content Delivery Networks for more reliability and easy availability of contents to users. Most research in Content Delivery Networks mainly focuses on delivering contents to the users with less latency and traffic cost. Apart from this the overall cost incurred for the content providers in cases of bandwidth and storage should also be taken into consideration. Most existing Content Delivery Networks focus only on the bandwidth and in some cases latency. In this paper a novel Content Delivery Model is proposed that makes use of a Genetic Optimization Algorithm (GOA) combined with an efficient storage model that can achieve better content placement and delivery in Cloud based Content Delivery Networks. The proposed approach updates itself dynamically to avoid unwanted use of storage that achieves a much better placement of contents thus reducing the storage cost.