Abstract
The popularity of web applications has shown rapid growth on Web Services and Cloud Computing. One of the major challenge in Web applications is that it needs to store lots of assets in cache memory to garantee responsive feeling for the user. User satisfaction is an important constraint imposing Quality of Service requirements. Therefore the use of distributed caches becomes necessary for numerous applications, fostering the need of efficient load distribution strategy. However some services (for example, on demand document searching) also require computations in addition to caching. This article presents a new load balancing policy called Block Based Workload And Cache Aware load balancing (BB-WACA) policy aimed at reducing the information retrieval time of the processor using Bloom Filter Based cache summaries. The BB-WACA is a centralized load balancing algorithm which routes the incoming requests to the machine where the underlying data will most probably be in its cache without overloading any nodes in the cluster.
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