Adaptive Content Delivery for Scalable Web Servers

Adaptive Content Delivery for Scalable Web Servers


Rahul Pradhan and Mark Claypool

In Proceedings of the International Network Conference (INC)
Plymouth, United Kingdom
July 16th-18th, 2002


The phenomenal growth in the use of the World Wide Web often places a heavy load on networks and servers, threatening to increase Web server response time and raising scalability issues for both the network and the server. Rather than large response times or connection failures that occur with typical loaded Web servers, clients are often willing to receive a degraded, less resource intensive version of the requested content. We propose and evaluate a server system that is capable of quantifying the load on a Web server and scaling the Web content delivered to a lower quality upon detecting high load, thus satisfying more clients and reducing response times. We experimentally evaluate our adaptive server system and compare it with an unadaptive server. We find that our adaptive content delivery server system can support as much as 25% more static requests, 15% more dynamic requests and twice as many multimedia requests as a non-adaptive server.


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