Open AccessTechnical analysis of content placement algorithms for content delivery network in cloud
Author(s) -
Suman Jayakumar,
Prakash Sheelvanthmath,
Channappa Baslingappa Akki
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i1.pp489-496
Subject(s) - cloud computing , computer science , content delivery , content (measure theory) , server , content delivery network , work (physics) , quality (philosophy) , quality of service , algorithm , service (business) , computer network , operating system , mathematics , business , engineering , mechanical engineering , mathematical analysis , philosophy , epistemology , marketing
Content placement algorithm is an integral part of the cloud-based content de-livery network. They are responsible for selecting a precise content to be re-posited over the surrogate servers distributed over a geographical region. Although various works are being already carried out in this sector, there are loopholes connected to most of the work, which doesn't have much disclosure. It is already known that quality of service, quality of experience, and the cost is always an essential objective targeting to be improved in existing work. Still, there are various other aspects and underlying reasons which are equally important from the design aspect. Therefore, this paper contributes towards reviewing the existing approaches of content placement algorithm over cloud-based content delivery network targeting to explore open-end re-search issues.