Ubiquitous computing systems continuously sense the environment and collect different kind of data used to provide un-obtrusive, proactive services to users. The amount of data collected grows tremendously consuming considerable storage space, slowing down the query processing and data analysis tasks and negatively effects the distributed data management and data transfer among various nodes. We have proposed earlier that a compact, summarized and aggregate representation of historical data can be used to overcome these problems. In this paper, we analyze the effectiveness of this concept by summarizing the quantitative information using various techniques and calculating different parameters as storage space consumption, time taken to answer queries and the precision of the results provided.
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