Service selection for composition in Mobile Edge Computing systems

Hongyue Wu; Shuiguang Deng; Wei Li; Min Fu; Jianwei Yin; Albert Y. Zomaya

doi:10.1109/ICWS.2018.00060

Service selection for composition in Mobile Edge Computing systems

Hongyue Wu, Shuiguang Deng, Wei Li, Min Fu, Jianwei Yin, Albert Y. Zomaya

School of Computing

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

43 Citations (Scopus)

Abstract

Due to the limited capabilities and resources, edge servers cannot meet the increasingly complex and diverse service requirements in mobile edge computing environments. In this circumstance, how to dispatch the component tasks of service requests to edge and cloud servers to reduce the time delay has become a crucial problem. Therefore, we focus on this problem and propose a heuristic algorithm called GAMEC (combined Genetic algorithm and simulated Annealing algorithm for service selection in Mobile Edge Computing systems). The simulated experiments have demonstrated the high effectiveness of the method.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	355-358
Number of pages	4
ISBN (Electronic)	9781538672471
ISBN (Print)	9781538672488
DOIs	https://doi.org/10.1109/ICWS.2018.00060
Publication status	Published - 5 Sept 2018
Event	25th IEEE International Conference on Web Services, ICWS 2018 - San Francisco, United States Duration: 2 Jul 2018 → 7 Jul 2018

Conference

Conference	25th IEEE International Conference on Web Services, ICWS 2018
Country/Territory	United States
City	San Francisco
Period	2/07/18 → 7/07/18

Keywords

Composition
Mobile edge computing
Response time
Service selection

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10.1109/ICWS.2018.00060

Cite this

Wu, H., Deng, S., Li, W., Fu, M., Yin, J., & Zomaya, A. Y. (2018). Service selection for composition in Mobile Edge Computing systems. In Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services (pp. 355-358). [8456377] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS.2018.00060

@inproceedings{52cc9b7c73964acca4440a9394b5eaa0,

title = "Service selection for composition in Mobile Edge Computing systems",

abstract = "Due to the limited capabilities and resources, edge servers cannot meet the increasingly complex and diverse service requirements in mobile edge computing environments. In this circumstance, how to dispatch the component tasks of service requests to edge and cloud servers to reduce the time delay has become a crucial problem. Therefore, we focus on this problem and propose a heuristic algorithm called GAMEC (combined Genetic algorithm and simulated Annealing algorithm for service selection in Mobile Edge Computing systems). The simulated experiments have demonstrated the high effectiveness of the method.",

keywords = "Composition, Mobile edge computing, Response time, Service selection",

author = "Hongyue Wu and Shuiguang Deng and Wei Li and Min Fu and Jianwei Yin and Zomaya, {Albert Y.}",

year = "2018",

month = sep,

day = "5",

doi = "10.1109/ICWS.2018.00060",

language = "English",

isbn = "9781538672488",

pages = "355--358",

booktitle = "Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "25th IEEE International Conference on Web Services, ICWS 2018 ; Conference date: 02-07-2018 Through 07-07-2018",

}

Wu, H, Deng, S, Li, W, Fu, M, Yin, J & Zomaya, AY 2018, Service selection for composition in Mobile Edge Computing systems. in Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services., 8456377, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 355-358, 25th IEEE International Conference on Web Services, ICWS 2018, San Francisco, United States, 2/07/18. https://doi.org/10.1109/ICWS.2018.00060

Service selection for composition in Mobile Edge Computing systems. / Wu, Hongyue; Deng, Shuiguang; Li, Wei et al.
Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 355-358 8456377.

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

TY - GEN

T1 - Service selection for composition in Mobile Edge Computing systems

AU - Wu, Hongyue

AU - Deng, Shuiguang

AU - Li, Wei

AU - Fu, Min

AU - Yin, Jianwei

AU - Zomaya, Albert Y.

PY - 2018/9/5

Y1 - 2018/9/5

N2 - Due to the limited capabilities and resources, edge servers cannot meet the increasingly complex and diverse service requirements in mobile edge computing environments. In this circumstance, how to dispatch the component tasks of service requests to edge and cloud servers to reduce the time delay has become a crucial problem. Therefore, we focus on this problem and propose a heuristic algorithm called GAMEC (combined Genetic algorithm and simulated Annealing algorithm for service selection in Mobile Edge Computing systems). The simulated experiments have demonstrated the high effectiveness of the method.

AB - Due to the limited capabilities and resources, edge servers cannot meet the increasingly complex and diverse service requirements in mobile edge computing environments. In this circumstance, how to dispatch the component tasks of service requests to edge and cloud servers to reduce the time delay has become a crucial problem. Therefore, we focus on this problem and propose a heuristic algorithm called GAMEC (combined Genetic algorithm and simulated Annealing algorithm for service selection in Mobile Edge Computing systems). The simulated experiments have demonstrated the high effectiveness of the method.

KW - Composition

KW - Mobile edge computing

KW - Response time

KW - Service selection

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U2 - 10.1109/ICWS.2018.00060

DO - 10.1109/ICWS.2018.00060

M3 - Conference proceeding contribution

AN - SCOPUS:85054039902

SN - 9781538672488

SP - 355

EP - 358

BT - Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 25th IEEE International Conference on Web Services, ICWS 2018

Y2 - 2 July 2018 through 7 July 2018

ER -

Wu H, Deng S, Li W, Fu M, Yin J, Zomaya AY. Service selection for composition in Mobile Edge Computing systems. In Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 355-358. 8456377 doi: 10.1109/ICWS.2018.00060

Service selection for composition in Mobile Edge Computing systems

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