DocumentCode :
2232177
Title :
Measuring the Benefits of Summarizing Quantitative Information in Pervasive Computing Systems
Author :
Rasheed, Faraz ; Lee, Young-Koo ; Lee, Sungyoung
Author_Institution :
Kyung Hee Univ., Suwon
fYear :
2006
fDate :
10-12 July 2006
Firstpage :
187
Lastpage :
192
Abstract :
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
Keywords :
data analysis; distributed databases; query processing; storage management; ubiquitous computing; data analysis task; data transfer; distributed data management; pervasive computing system; quantitative information summarization; query processing; storage space consumption; ubiquitous computing system; Aggregates; Bandwidth; Context awareness; Data analysis; Delay; Information analysis; Pervasive computing; Query processing; Temperature sensors; Ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2006 and 2006 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse. ICIS-COMSAR 2006. 5th IEEE/ACIS International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7695-2613-6
Type :
conf
DOI :
10.1109/ICIS-COMSAR.2006.57
Filename :
1651990
Link To Document :
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