scholarly journals Evaluating and Improving a Content Delivery Network (CDN) Workflow using Stochastic Modelling

Author(s):  
Nupur Goyal ◽  
Tanuja Joshi ◽  
Mangey Ram

Content Delivery Networks (CDN) are the backbone of Internet. A lot of research has been done to make CDNs more reliable. Despite that, the world has suffered from CDN inefficiencies quite a few times, not just due to external hacking attempts but due to internal failures as well. In this research work the authors have analyzed the performance of a content delivery network through various reliability measures. Considering a basic CDN workflow they have calculated the reliability and availability of the proposed multi-state system using Markov process and Laplace transformation. Software/Hardware failures in any network component can affect the reliability of the whole system. Therefore, the authors have analyzed the obtained results to find major causes of failures in the system, which when avoided, can lead to a faster and more efficient distribution network.

The purpose of the thesis is to study existing solutions in the field of content delivery networks. On the basis of the study to propose a model of a distributed content delivery network. Using the model to develop traffic management algorithms within the CDN network to minimize the load on the channel. A model of content delivery network has been developed. Algorithm an algorithm has been developed to evenly distribute the load within the content delivery network and reduce the percentage of rejected requests at the time of peak loads. The algorithm is implemented within a model content delivery network crime reports and evidence. The algorithm is tested on model data, the results confirm a decrease in the percentage of rejected packets and the uniformity of the distribution of requests across the servers. The simulation results show that the heuristic algorithm is almost as good as the optimal solution on simple topologies. On complex topologies, direct comparison is not possible, but it can be seen that the results are close to the optimal solution


INSIST ◽  
2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Erwin Harahap ◽  
Icih Sukarsih ◽  
Gani Gunawan ◽  
M Yusuf Fajar ◽  
Deni Darmawan

Abstract—Simulation methodology has become popular among network researchers due to the availability of various sophisticated and the flexibility of simulation packages in model construction and the result’s validation. The objective of our research is to introduce a discrete simulator tools known as SimEvents toolbox that runs on MATLAB-Simulink with the advantages of graphical user interface (GUI) system and a total customized simulator design. In this paper, we design a model-based network simulator named as “CDNlink”. CDNlink is designed based on a queuing model and functioned to study the content delivery networks (CDN). As a result, we have designed the simulator for Client, Router, DNS, and Server. Moreover, we simulate the CDN system for packet round trip time (RTT) and server’s queue length.Keywords—simulink, content delivery network, model-based simulation, simevents, cdnlink.


Author(s):  
S. Dhanalakshmi ◽  
T. Prabakaran ◽  
Krishna Kishore

Content Delivery Network is a network of servers hosted by a service provider in multiple locations of the world so that the content could deliver from a server that is nearest to the consumer requesting for it. It has evolved to overcome the inherent limitations of the internet regarding user perceived Quality of Service (QoS) when accessing the Web Content. It has been proposed to maximize bandwidth, improve accessibility and maintain correctness through content replication. The content is distributed to cache servers and located close to the users, resulting in fast, reliable applications and web services for the users. In this paper we provide a components, technologies and comprehensive taxonomy with a broad coverage of CDNs regarding the organizational structure, content distribution mechanisms, request redirection techniques, and performance measurement methodologies.


Author(s):  
Manoj Kumar Srivastav ◽  
Robin Singh Bhadoria ◽  
Tarasankar Pramanik

The internet plays important role in the modern society. With the passage of time, internet consumers are increasing. Therefore, the traffic loads during communication between client and its associated server are getting complex. Various networking systems are available to send the information or to receive messages via the internet. Some networking systems are so expensive that they cannot be used for the regular purpose. A user always tries to use that networking system that works on expansion of optimizing the cost. A content delivery network (CDN) also called as content distribution network has been developed to manage better performance between client and list of available servers. This chapter presents the mathematical model to find optimization among client and cache server during delivery of content based on fuzzy logic.


2019 ◽  
Vol 16 (9) ◽  
pp. 3874-3878
Author(s):  
Meenakshi Gupta ◽  
Atul Garg

Content Delivery Network (CDN) system aims to upgrade the performance of content delivery to end-users of popular websites. It replicates the contents at different geographic locations to serve from the point closer to them. It supports to bring network and as a result web performance to next level. For proper utilization of CDN resources, it is significant to efficiently distribute popular contents over surrogate servers. Most of the CDNs have a large number of surrogate servers. This requires coordination between the surrogate servers to improve overall capability of a CDN system while limiting the cost. This paper suggests a technique to efficiently distribute contents over surrogate servers that cooperate with one another to improve quality of service (QoS) of web content delivery to clients (end-users) in terms of response time.


2020 ◽  
Vol 53 (2) ◽  
pp. 1-34 ◽  
Author(s):  
Behrouz Zolfaghari ◽  
Gautam Srivastava ◽  
Swapnoneel Roy ◽  
Hamid R. Nemati ◽  
Fatemeh Afghah ◽  
...  

2021 ◽  
Vol 187 ◽  
pp. 107822
Author(s):  
Srujan Teja Thomdapu ◽  
Palash Katiyar ◽  
Ketan Rajawat

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