ABSTRACT This paper provides a comprehensive survey of content placement (CP) algorithms for cloud-based content delivery networks (CCDNs). CP algorithms are essential for content delivery for their major role in selecting content to be stored in the geographically distributed surrogate servers in the cloud to meet end-user demands with quality of service (QoS). Evidently, the key objectives of CP, i.e., cost and QoS, are competing. Cost is determined by the underlying cost model of the CCDN infrastructure while the delivered QoS is determined by where the content is placed in the CCDN. Therefore, we provide an overview of the content and the CCDN infrastructure. The overview of the content includes content characteristics and the influence of Online Social Networking on CP. The overview of the CCDN infrastructure includes elasticity and cost model, which affect CP. Our goal is to provide a holistic perspective of the aspects that impact CP algorithms and their efficiency. From the influential factors, we derive a set of design criteria for CP algorithms in CCDNs. We discuss the state-of-the-art CP algorithms for CCDNs and evaluate them against the well-motivated design criteria. We also delineate practical implications and uncover future research challenges. INDEX TERMS Cloud-based content delivery networks, content placement algorithms, content correlation, content popularity, online social networking relationships, quality of service, resource utilization, user-generated content.
In the context of Cloud based Content Delivery Networks (CCDNs), a comprehensive survey of content placement algorithms for CCDNs was provided in REF .
A Survey on Content Placement Algorithms for Cloud-Based Content Delivery Networks
IEEE Access
IEEE Access
Computer Science