A New Dataset and Benchmark for Cloud Computing Service Composition

被引：3

作者：

Jula, Amin ^{[1
]}

Nilsaz, Hamid ^{[2
]}

Sundararajan, Elankovan ^{[3
]}

Othman, Zalinda ^{[4
]}

机构：

[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Artificial Intelligence, Data Min & Optimizat Res Grp, Ukm Bangi 43600, Malaysia

[2] Islamic Azad Univ, Mahshahr branch, Dept Math, Mahshahr, Iran

[3] Univ Kebangsaan Malaysia, Ctr Artificial Intelligence, Data Min & Optimizat Res Grp, Ukm Bangi 43600, Selangor, Malaysia

[4] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Software Technol & Management, Ukm Bangi 43600, Selangor, Malaysia

来源：

PROCEEDINGS FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION | 2014年

关键词：

Cloud Computing; Service Composition; Service Selection; Benchmark; Best Practices; Standard Test; Dataset; Quality of Service Parameters; QoS; PARTICLE SWARM OPTIMIZATION; WEB SERVICE;

D O I：

10.1109/ISMS.2014.22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cloud computing as an effective computing approach is attracting increasingly the attention of heavy processing applicants to its capabilities. Cloud suppliers try to prevent any service-request unanswered utilizing a large number of service providers. Selecting optimal uniqueservices in cloud computing service composition (CCSC) is a noteworthy problem that must be addressed extremely accurate and scrupulously. Recently, considerable studies have been done for solving CCSC, however lack of widely accepted and reliable CCSC problems for fair and equitable comparison of proposing methods, is a blind spot and should be considered as a high-priority problem. In this paper, a reliable set of ten CCSC problems is introduced (CCSC_Benchmark) which is prepared to be used as a "standard test" in future works. To complete the usability of the problem set, the best solutions of the generated problems are also found and presented to provide a facility for calculating error rate of the proposed methods.

引用

页码：83 / 86

页数：4