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