A Novel Approach To Answer Continuous Aggregation Queries Using Data Aggregations
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 5
Abstract
Decision making can be regarded as the reflective development consequential in the selection of a course of action among several alternative scenarios. Continuous and uninterrupted aggregation queries are used to monitor the changes in data with time varying for online decision making. Usually a user requirements to obtain the value of some aggregation function larger than distributed data items, for example, to be familiar with value of portfolio for a client; or the average of temperatures sensed by a set of sensors. In these queries a client identifies a coherency requirement as measurement of the query. In this we suggested a low-cost, scalable technique to answer continuous aggregation queries using a network of aggregators of dynamic data items. Such a network of data aggregators, each and every data aggregator gives out a set of data items at specific coherencies. Just as a variety of fragments of a dynamic web pages are served by one or more nodes of a content allocation network, our proposed method involves decomposing a client query into sub-queries and carry out sub-queries on sensibly chosen data aggregators with their individual sub query incoherency boundaries. We present that a technique for getting the optimal set of sub queries with their incoherency boundaries which gratifies client query’s coherency obligation with least number of refresh messages driven from aggregators to the client. For approximation the number of refresh messages, we put together a query cost model which can be used to calculate approximately the number of messages required to gratify the client specified incoherency bound.
Authors and Affiliations
K. Suresh, Sk. Karimulla, B. Rasagna
Keywords
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