A case for CDN-as-a-service in the cloud: A Mobile Cloud Networking argument

Abstract

Content Distribution Networks are mandatory components of modern web architectures, with plenty of vendors offering their services. Despite its maturity, new paradigms and architecture models are still being developed in this area. Cloud Computing, on the other hand, is a more recent concept which has expanded extremely quickly, with new services being regularly added to cloud management software suites such as OpenStack.The main contribution of this paper is the architecture and the development of an open source CDN that can be provisioned in an on-demand, pay-as-you-go model thereby enabling the CDN as a Service paradigm. We describe our experience with integration of CDNaaS framework in a cloud environment, as a service for enterprise users. We emphasize the flexibility and elasticity of such a model, with each CDN instance being delivered on-demand and associated to personalized caching policies as well as an optimized choice of Points of Presence based on exact requirements of an enterprise customer. Our development is based on the framework developed in the Mobile Cloud Networking (MCN) EU FP7 project, which offers its enterprise users a common framework to instantiate and control services. CDNaaS is one of the core support components in this project as is tasked to deliver different type of multimedia content to several thousands of users geographically distributed. It integrates seamlessly in the MCN service life-cycle and as such enjoys all benefits of a common design environment, allowing for an improved interoperability with the rest of the services within the MCN ecosystem. 651 978-1-4799-3080-7/14/$31.00 c 2014 IEEE

An eigenvalue‐based edge infrastructure for cloud‐based CDN

“…10 The evergrowing end user request for services led to availability issue, whereas dimensioning services on a large scale are not economically feasible. 11 CCDN is used to overcome these issues, but edge server placement and provisioning across the service area plays a vital role in achieving the CCDN goal.…”

“…The time complexity of calculating U QoS le is O(N 1 ) (line 9). Again, checking whether U QoS le is above Q min , the time complexity is O(N 1 ) (lines [10][11][12]. The time complexity of selecting a location with minimum CO is O(N 1 ) (line 14).…”

An adaptable storage slicing algorithm for content delivery networks

“…While powerful, its nature makes it prone to over-or under-provisioning of resources. A paradigm typically used nowadays to address this latter issue is adopting Cloud Computing principles, being able to provision just the right amount of resources based on current demand [61].…”

“…However, in general, there is a lack of PaaS tools to create rapidly a CDN. There is no standard or open source software able to deliver CDN as a service for each tenant through well-known managers such as OpenStack [61]. Most players, as the examples above, use proprietary software and do not expose the whole management software.…”

Toward a Fully Cloudified Mobile Network Infrastructure

“…The DSS scenario is an OTT service composition that enables media content distribution and media playback across geographically distributed electronic displays (known as players). The scope of the DSS PoC, within the MCN framework, is to showcase an easy-to-use, reliable, elastic and costoptimized Digital Signage Network (DSN) [8]. For such, its service composition includes, besides the core telco services, services like Information Centric Networking (ICN) and AAA to allow content to be provided according to the geographical location of players and their authentication in the network, respectively.…”