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[期刊论文]

A Dynamic QoS Adjustment Enabled and Load-balancing-aware Service Composition Method for Multiple Requests

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author:

Wu, Xiaozhu (Wu, Xiaozhu.) [1] (Scholars:吴小竹)

Indexed by:

EI SCIE

Abstract:

Previous QoS-aware service composition methods mainly focus on how to generate composite service with the optimal QoS efficiently for a single request. However, in the real application scenarios, there are multiple service requests and multiple service providers. It is more important to compose services with suboptimal QoS and maintain the load balance between services. To solve this problem, in this paper, we propose a service composition method, named as dynamically change and balancing composition method (DCBC). It assumes that the QoS of service is not static, and the services can adjust the value of QoS to gain more opportunities to be selected for composition. The method mainly includes two steps, which are the preprocessing step and the service selection step. In the preprocessing step, a backward global best QoS calculation is performed which regarding the static and dynamic QoS respectively; then guided by the global QoS, the feasible services can be selected efficiently in the service selection step. The experiments show that the DCBC method can not only improve the overall quality of composite services but also guarantee the fulfill ratio of requests and the load balance of services.

Keyword:

Dynamic QoS Load Balance QoS Adjustment Service Composition

Community:

  • [ 1 ] [Wu, Xiaozhu]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Wu, Xiaozhu]Fuzhou Univ, MOE, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 吴小竹

    [Wu, Xiaozhu]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China;;[Wu, Xiaozhu]Fuzhou Univ, MOE, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350108, Peoples R China

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Source :

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

ISSN: 1976-7277

Year: 2021

Issue: 3

Volume: 15

Page: 891-910

0 . 9 7 2

JCR@2021

1 . 2 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:106

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

30 Days PV: 0

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