POEMS: A Transformable Architecture for Managing System Overload
نویسندگان
چکیده
In a typical organizational scenario, hundreds of personal computers (PCs) are used mainly for simple office tasks. Typically, a central database management system (DBMS) receives requests internally or externally through an Internet connection that serves as a backend of Web services. The unpredictability and fluctuations of requests could result in the overload of the DBMS. Existing load management systems assume nodes are fully dedicated to sharing loads, which could cause interruptions of the existing tasks running on the office PCs. In addition, data are statically partitioned and cached in the nodes permanently even though the system may be under-loaded. Moreover, the nodes that are involved in load-balancing are not allowed to dismiss the processes. In this paper, we describe a novel framework, POEMS, that is transformable between a client-server and Peer-to-Peer (P2P) architecture; it operates as a conventional DBMS under normal load condition without interrupting the nodes, and transforms to P2P operation mode for processing in a heavy-load condition. In contrast to traditional systems, all nodes in our proposed framework contribute the spare capacity of their hardware resources for data manipulation, and this is done without the need to install any DBMS at any of the nodes. Data are partitioned online and operators are distributed to nodes similarly. The effectiveness of POEMS query processing is achieved by node cooperation. POEMS allows processes or operators to be dismissed online, so a user can allocate more resources to his/her own operation tasks as and when the need arises. We evaluate the performance of our proposed system with a prototype implementation. The results suggest that POEMS is a feasible and effective approach for solving the system overload problem.
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