An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art

Wang, Meisong; Jayaraman, Prem Prakash; Ranjan, Rajiv; Mitra, Karan; Zhang, Miranda; Li, Zheng; Khan, Samee U.; Pathan, Mukkaddim; Georgeakopoulos, Dimitrios

doi:10.1007/978-3-662-46703-9_6

Cited by 49 publications

(26 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wang et al 19 have provided comprehensive analysis, fundamental obstructions, and research dimensions that must be addressed in the CCDN. Chen et al 17 investigate the joint problem of building distribution paths and placing web server replicas in CCDN in a cost-efficient way.…”

Section: Related Workmentioning

confidence: 99%

“…Their study shows that most of the algorithms are greedy or variant of the greedy method, which are evaluated through different performance metrics like RTT, latency, hop-count, number of servers, cost, and network traffic. Wang et al 19 have provided comprehensive analysis, fundamental obstructions, and research dimensions that must be addressed in the CCDN. Leivadeas et al 20 proposed surrogate server placement strategies for deployment of CDN, based on social network analysis over the cloud.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An eigenvalue‐based edge infrastructure for cloud‐based CDN

Sahoo

Turuk

2019

Int J Communication

View full text Add to dashboard Cite

In today's dynamic video landscape, an end user needs services to be delivered to any devices anytime with less delay over the Internet. Now users' expectation has changed; they want faster time-to-market, cost reduction, and the ability to adjust according to the evolving requirements, which are a limit for the traditional server-based approach. The explosive growth of the internet multimedia application needs a new approach to content delivery to overcome the limitations of server-based techniques. Cloud-based content delivery networks (CCDNs) have recently started to emerge where contents are cached from the cloud storage and delivered through the distribution service to meet quality of services (QoS) of requested services. In this paper, we dealt with CCDN deployment problem and proposed a new eigenvalue-based edge infrastructure for a network service provider to serve the users with a variation on proximity interest concerning operational cost and user QoS satisfaction. The edge infrastructure designing is a two-step process: (a) ideal location search for placing edge server and (b) edge server placement and capacity provisioning. The performance of the proposed approach is appraised via modeling and simulation.Performance evaluation outcomes are exhibited to manifest the effectiveness and competitiveness of our approach when compared with existing algorithms.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An eigenvalue‐based edge infrastructure for cloud‐based CDN

Sahoo

Turuk

2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Data generated and exchanged over the Internet keeps growing, and is estimated to reach 44 zettabytes by 2020 [1]. It consists typically in contents accessible to users, such as web-based (text, graphics), multi-media (video streaming), and other downloadable contents (files, software).…”

Section: Introductionmentioning

confidence: 99%

“…It consists typically in contents accessible to users, such as web-based (text, graphics), multi-media (video streaming), and other downloadable contents (files, software). As of 2016, 79 percent of total Internet traffic was multi-media content [1].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, we provide recommendations on which scheme to use under what conditions based on the evaluation results. Compared to our prior work [6], the new contributions are three-fold: (1) we improve the resiliency model to serve a more realistic failure scenario; (2) we propose M-CPRA meta-heuristic algorithm to overcome the scalability issue of MILP; and (3) we evaluate the two redundancy schemes, CF and CR, more thoroughly by using more metrics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Content Fragmentation: A Redundancy Scheme to Save Energy in Cloud Networks

Tornatore

Martel

et al. 2018

IEEE Trans. on Green Commun. Netw.

View full text Add to dashboard Cite

Due to rapid growth of content-based cloud services (e.g., video streaming), energy usage of cloud infrastructures, consisting of distributed Data Centers (DCs) interconnected by a highbandwidth long-distance network, keeps increasing. This energy usage could further increase due to requested content redundancy to ensure content-service resiliency. Typical content redundancy schemes are based on Content Replication (CR), i.e., each content is replicated in at least one secondary DC location, reachable in case of failure affecting the primary location, which induces at least 100% increase in storage energy consumption. To reduce storage energy overhead of CR, we investigate a new redundancy scheme, called Content Fragmentation (CF). CF exploits Reed-Solomon erasure code to fragment and encode content into blocks with less storage overhead (thus less storage energy usage) to guarantee content-service resiliency. But CF requires additional energy for content reconstruction and data transport in the core network. To determine which scheme is more energy efficient, we formulate, for both, the contentplacement problem using Mixed Integer Liner Program (MILP), with the objective to minimize energy consumption. Also, due to MILP's poor scalability, we propose a Meta-heuristic Content Placement and Routing Assignment algorithm (M-CPRA) for more efficient solutions. We observe the impact on energy usage of three main metrics, i.e., number of content requests (popularity), resiliency, and latency. Results from a realistic case study suggest that CF always consumes less energy than CR given the same resiliency requirement, and CF is particularly energy-efficient when stored contents are less popular and latency-tolerant.

show abstract

Services in Fixed and Mobile Ultra‐Broadband

2019

QoS for Fixed and Mobile Ultra‐Broadband

View full text Add to dashboard Cite

An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art

Cited by 49 publications

References 24 publications

An eigenvalue‐based edge infrastructure for cloud‐based CDN

An eigenvalue‐based edge infrastructure for cloud‐based CDN

Content Fragmentation: A Redundancy Scheme to Save Energy in Cloud Networks

Services in Fixed and Mobile Ultra‐Broadband

Contact Info

Product

Resources

About