Analyzing the Deployment and Performance of Multi-CDNs in Pakistan
Abstract
The Content Delivery Network (CDN) is a network of proxy servers that are used by the content providers to disperse the most recent content. It distributes the content to diverse categories of their clients at a low latency across the globe. However, these networks can have different types of strengths and weaknesses to serve millions of clients in different regions. Therefore, deploying the software updates is a challenging task for content providers to their different clients (e.g., PC users and mobile users). The previously conducted researches on multi Content Delivery Network analysis and deployment are limited. In order to comprehend a detailed analysis is presented in our article for the mechanism of delivering software updates, the working structure of the two established operating systems such as Windows and iOS. RIPE Atlas lab datasets are being used on a large scale to measure the data, which is collected from 9,000 RIPE Network Coordination Centre to investigate the regional trends in the deployment of Multi-CDN software updates. Our contribution is that we take the datasets from the RIPE Atlas Network Coordination Center and perform analysis through python. Especially, with the use of methodology and datasets, understand the latency performance of the different Content Delivery Network providers in different regions. We calculated the Mean Round Trip Time (RTT) of seven months in the Pakistan Region and notice the variation in results. A comparison between two competing operating systems, Microsoft and Apple is presented in our research for delivering software updates. The clients of Microsoft download updates from the local Internet Service Provider (ISP) while approximately 80 percent of Apple clients download updates from their own service providers. So, the results show that the proposed work is more efficient than the previously conducted researches on Multi CDN.
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