No abstract

The Flash crowds are rapid increase in access to contents of web sites, which makes the web sites inaccessible, leaving the clients with unsatisfied requests. The major shortcoming of flash crowds researches is that they do not assist vital resizing feature of a cloud of the surrogates; the surrogates involved in the alleviation process do not change from the start to the end of flash crowds. Our system, FCAN (Flash Crowds Alleviation Network) is a system to provide resources to web sites to overcome flash crowds. A main feature of FCAN is its dynamically resizing feature, which can adapt to request load of flash crowds by enlarging or shrinking a cloud of surrogate servers used by the web sites. In this paper, we present a new feature of FCAN to support multiple servers which experience different flash crowds simultaneously, and show experiment results with real web log data provided by Live Eclipse 2006.

With the rapid spread of information and ubiquitous access of browsers, flash crowd, a sudden, unanticipated surge in the volume of request rates, has become the bane of many Internet websites. This paper models and presents FCAN, an adaptive CDN network that dynamically optimizes the system structure between peer-to-peer (P2P) and clientserver(C/S) configurations to alleviate flash crowds effect. FCAN constructs P2P overlay on cache proxy layer to distribute the flash traffic from origin web server. It uses policyconfigured DNS redirection to route the client requests in balance, and adopts strategy load detection to monitor and react the load changes. Our preliminary simulation result shows that the system is overall well behaved, which validates the correctness of our basic design and points the way for the future research.