QoS-Based Web Services Selection

Hongbing Wang; Ping Tong; Phil Thompson; Yinsheng Li

doi:10.1109/ICEBE.2007.109

QoS-Based Web Services Selection

Hongbing Wang, Ping Tong, Phil Thompson, Yinsheng Li

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

8 Citations (Scopus)

Abstract

Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using "simulated annealing" and "genetic " algorithms, the two algorithms , compared by experiment.

Original language	English
Title of host publication	IEEE International Conference on e-Business Engineering (ICEBE'07)
Publisher	IEEE
Pages	631-637
Number of pages	7
ISBN (Print)	978-0-7695-3003-1
DOIs	https://doi.org/10.1109/ICEBE.2007.109
Publication status	Published - 12 Dec 2007
Event	International Conference on e-Business Engineering (ICEBE'07) - Hong Kong, China Duration: 24 Oct 2007 → 26 Oct 2007

Conference

Conference	International Conference on e-Business Engineering (ICEBE'07)
Abbreviated title	ICEBE' 07
Country/Territory	China
City	Hong Kong
Period	24/10/07 → 26/10/07

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10.1109/ICEBE.2007.109

Cite this

@inproceedings{a9721a77df0c498daa8f80a9ef344d1b,

title = "QoS-Based Web Services Selection",

abstract = "Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using {"}simulated annealing{"} and {"}genetic {"} algorithms, the two algorithms , compared by experiment.",

author = "Hongbing Wang and Ping Tong and Phil Thompson and Yinsheng Li",

year = "2007",

month = dec,

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doi = "10.1109/ICEBE.2007.109",

language = "English",

isbn = "978-0-7695-3003-1",

pages = "631--637",

booktitle = "IEEE International Conference on e-Business Engineering (ICEBE'07)",

publisher = "IEEE",

address = "United States",

note = "International Conference on e-Business Engineering (ICEBE'07), ICEBE' 07 ; Conference date: 24-10-2007 Through 26-10-2007",

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TY - GEN

T1 - QoS-Based Web Services Selection

AU - Wang, Hongbing

AU - Tong, Ping

AU - Thompson, Phil

AU - Li, Yinsheng

PY - 2007/12/12

Y1 - 2007/12/12

N2 - Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using "simulated annealing" and "genetic " algorithms, the two algorithms , compared by experiment.

AB - Nowadays, composing previous available Web services into incremental Web services with more powerful functions has become a new hotspot. To select Web services during the process of composing them is a chief task, so it becomes crucial to select services providing the same or similar functionality by their non-functional attributes namely Quality of Service (QoS). In order to solve this problem, this paper proposes to combine the same or similar functional services into classes of service. It designs the QoS- globally optimal model, which is respectively solved by using "simulated annealing" and "genetic " algorithms, the two algorithms , compared by experiment.

U2 - 10.1109/ICEBE.2007.109

DO - 10.1109/ICEBE.2007.109

M3 - Conference proceeding

SN - 978-0-7695-3003-1

SP - 631

EP - 637

BT - IEEE International Conference on e-Business Engineering (ICEBE'07)

PB - IEEE

T2 - International Conference on e-Business Engineering (ICEBE'07)

Y2 - 24 October 2007 through 26 October 2007

ER -

QoS-Based Web Services Selection

Abstract

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