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Efficient Optimization of Edge Server Selection Technique in Content Delivery Network
Author(s) -
Debabrata Sarddar,
Enakshmi Nandi
Publication year - 2015
Publication title -
international journal of mathematical sciences and computing
Language(s) - English
Resource type - Journals
eISSN - 2310-9033
pISSN - 2310-9025
DOI - 10.5815/ijmsc.2015.04.01
Subject(s) - cloud computing , computer science , enhanced data rates for gsm evolution , content delivery network , computer network , content delivery , selection (genetic algorithm) , server , operating system , telecommunications , artificial intelligence
Cloud Computing provides the infrastructure as a “Cloud” from which businesses and users are permit to access applications from anywhere in the world on demand. Thus, the computing world is rapidly transforming towards developing software for millions to consume as a service, rather than to run on their individual computers. But many users could not satisfy on cloud services completely due to their uncovering security purpose for handling large numbers of data. Even the network becomes uncontrollable, when large numbers of user’s request to the server create network congestion and data losses vigorously. Content Delivery Network OR CDN is an eminent solution of this problem. Our objective is to create optimized method for edge selection technique in Content Delivery Network to deliver and direct the user request to the nearest edge server and establish the connection between them and transfer the respective content

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