An adaptive mobile system to solve large-scale problems in wireless networks

Jehwan Oh; Eunseok Lee

doi:10.1007/978-3-540-72590-9_87

An adaptive mobile system to solve large-scale problems in wireless networks

Jehwan Oh
, Eunseok Lee

Department of Computer Science and Engineering

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose an adaptive mobile system that uses mobile grid computing to achieve infeasible work in mobile device. Recently, grid computing has gained significance for its ability to achieve certain goals by sharing the idle resources of computing devices, and thus overcoming the various constraints of the mobile computing environment. In the mobile environment, it is very important for mobile devices to recognize correctly their resource state. The proposed system includes a Grid Inference Engine, which decides on the resource state by using fuzzy logic. In this paper, a prototype is implemented to evaluate the proposed system. The effectiveness of the system is confirmed through experiment.

Original language	English
Title of host publication	Computational Science - ICCS 2007 - 7th International Conference, Proceedings
Publisher	Springer Verlag
Pages	594-597
Number of pages	4
Edition	PART 4
ISBN (Print)	9783540725893
DOIs	https://doi.org/10.1007/978-3-540-72590-9_87
State	Published - 2007
Event	7th International Conference on Computational Science, ICCS 2007 - Beijing, China Duration: 27 May 2007 → 30 May 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	4490 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computational Science, ICCS 2007
Country/Territory	China
City	Beijing
Period	27/05/07 → 30/05/07

Access to Document

10.1007/978-3-540-72590-9_87

Cite this

Oh, J., & Lee, E. (2007). An adaptive mobile system to solve large-scale problems in wireless networks. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings (PART 4 ed., pp. 594-597). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4). Springer Verlag. https://doi.org/10.1007/978-3-540-72590-9_87

Oh, Jehwan ; Lee, Eunseok. / An adaptive mobile system to solve large-scale problems in wireless networks. Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4. ed. Springer Verlag, 2007. pp. 594-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).

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title = "An adaptive mobile system to solve large-scale problems in wireless networks",

abstract = "In this paper, we propose an adaptive mobile system that uses mobile grid computing to achieve infeasible work in mobile device. Recently, grid computing has gained significance for its ability to achieve certain goals by sharing the idle resources of computing devices, and thus overcoming the various constraints of the mobile computing environment. In the mobile environment, it is very important for mobile devices to recognize correctly their resource state. The proposed system includes a Grid Inference Engine, which decides on the resource state by using fuzzy logic. In this paper, a prototype is implemented to evaluate the proposed system. The effectiveness of the system is confirmed through experiment.",

author = "Jehwan Oh and Eunseok Lee",

year = "2007",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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Oh, J & Lee, E 2007, An adaptive mobile system to solve large-scale problems in wireless networks. in Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 4490 LNCS, Springer Verlag, pp. 594-597, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 27/05/07. https://doi.org/10.1007/978-3-540-72590-9_87

An adaptive mobile system to solve large-scale problems in wireless networks. / Oh, Jehwan; Lee, Eunseok.
Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4. ed. Springer Verlag, 2007. p. 594-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we propose an adaptive mobile system that uses mobile grid computing to achieve infeasible work in mobile device. Recently, grid computing has gained significance for its ability to achieve certain goals by sharing the idle resources of computing devices, and thus overcoming the various constraints of the mobile computing environment. In the mobile environment, it is very important for mobile devices to recognize correctly their resource state. The proposed system includes a Grid Inference Engine, which decides on the resource state by using fuzzy logic. In this paper, a prototype is implemented to evaluate the proposed system. The effectiveness of the system is confirmed through experiment.

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SN - 9783540725893

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Oh J, Lee E. An adaptive mobile system to solve large-scale problems in wireless networks. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4 ed. Springer Verlag. 2007. p. 594-597. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). doi: 10.1007/978-3-540-72590-9_87

An adaptive mobile system to solve large-scale problems in wireless networks

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