Abstract
The process on the ecosystem of the computing environment of today’s world includes both static and dynamic contents. The availability of these content is essential for many critical applications in reliable as well as on real-time applications. The conventional content delivery network (CDN) creases its capacity in many ways to be synchronous with modern and advance applications; therefore, the trend of shifting and setting up CDN on the cloud is adopted due to many advantages of clouds. This paper analyses many standard computational model’s architectures for cloud-based content delivery networks (CCDN). The proposed study contributes to discuss the essential characteristics of the content placement problems in relation to the cloud ecosystem for highlighting all forms of problems associated with it. The study also contributes to highlight a possible solution to circumvent such a significant research problem associated with CCDN.
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Jayakumar, S., Prakash, S., Akki, C.B. (2021). Evaluation of Standard Models of Content Placement in Cloud-Based Content Delivery Network. In: Chiplunkar, N.N., Fukao, T. (eds) Advances in Artificial Intelligence and Data Engineering. AIDE 2019. Advances in Intelligent Systems and Computing, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-15-3514-7_108
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DOI: https://doi.org/10.1007/978-981-15-3514-7_108
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