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Mobile Presence Services with Scalability Using Concurrency in Programming

D Abdus Subhahan, P Lakshmi Samyuktha

Efficient and scalable server architecture, called Presence Cloud, which enables mobile presence services to support large-scale social network applications. When a mobile user joins a network, Presence Cloud searches for the presence of his/her friends and notifies them of his/her arrival. Presence Cloud organizes presence servers into a quorumbased server-to-server architecture for efficient presence searching. It also leverages a directed search algorithm and a onehop caching strategy to achieve small constant search latency. We analyze the performance of Presence Cloud in terms of the search cost and search satisfaction level. The search cost is defined as the total number of messages generated by the presence server when a user arrives; and search satisfaction level is defined as the time it takes to search for the arriving user’s friend list. Web architectures are an important asset for various large-scale web applications, such as social networks or e-commerce sites. Being able to handle huge numbers of users concurrently is essential, thus scalability is one of the most important features of these architectures. Multicore processors, highly distributed backend architectures and new web technologies force us to reconsider approaches for concurrent programming in order to implement web applications and full scalability demands. While focusing on different stages of scalable web architectures, we provide a survey of competing concurrency approaches and point to their adequate usages.