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Content delivery networks deliver much of the web and video content in theworld by deploying a large distributed network of servers. We model and analyzea simple paradigm for client-side server selection that is commonly used inpractice where each user independently measures the performance of a set ofcandidate servers and selects the one that performs the best. For web (resp.,video) delivery, we propose and analyze a simple algorithm where each userrandomly chooses two or more candidate servers and selects the server thatprovided the best hit rate (resp., bit rate). We prove that the algorithmconverges quickly to an optimal state where all users receive the best hit rate(resp., bit rate), with high probability. We also show that if each user chosejust one random server instead of two, some users receive a hit rate (resp.,bit rate) that tends to zero. We simulate our algorithm and evaluate itsperformance with varying choices of parameters, system load, and contentpopularity.

Go-With-The-Winner: Client-Side Server Selection for Content Delivery