Web2.0 and Cloud Computing are two hot topics in current internet research. PaaS (Platform as a Service) hosts the users' service in an elasticity way and provides the load balance support, but there is not optimizing in load balance for web2.0 application, especially for SNS like website. Load balance optimizing can be divided in two aspects: web cache optimizing and load balance strategy designing. We propose a PUR-SNS (prediction on user requests for social networking services) algorithm for web cache optimizing, which organize web cache based on the social relations. Simulation shows that PUR-SNS can improve caching hit ratio in SNS like environment.
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