A Hybrid Fuzzy Framework for Cloud Service Selection

被引：21

作者：

Le, Sun ^{[1
]}

Dong, Hai ^{[2
]}

Hussain, Farookh Khadeer ^{[3
]}

Hussain, Omar Khadeer ^{[4
]}

Ma, Jiangang ^{[1
]}

Zhang, Yanchun ^{[1
]}

机构：

[1] Victoria Univ, Ctr Appl Informat, Melbourne, Vic 8001, Australia

[2] RMIT Univ, Sch Comp Sci & Informat Technol, Melbourne, Vic, Australia

[3] Univ Technol Sydney, Sch Software, Sydney, NSW 2007, Australia

[4] Univ New S Wales, Australian Def Force Acad, Canberra, ACT, Australia

来源：

2014 IEEE 21ST INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2014) | 2014年

关键词：

Multi-criteria decision making; fuzzy AHP; fuzzy TOPSIS; fuzzy ontology; Cloud service selection; DECISION-MAKING; NUMBERS; SIMILARITY; TOPSIS; AHP;

D O I：

10.1109/ICWS.2014.53

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

QoS-based service rating has made positive contributions to the area of service selection. Especially for Cloud service users, the right decision when choosing suitable Cloud services can help them improve user satisfaction and trading revenues. This work aims to address the issue of uncertainty in service requests, service descriptions, user and expert preferences, as well as evaluation criteria in a MCDM-based service selection procedure. A hybrid fuzzy framework for Cloud service selection is proposed, addressing the challenge using three approaches: a fuzzy-ontology-based approach for function matching and service filtering; a fuzzy AHP technique for informed criterion weighting; and, a fuzzy TOPSIS approach for service ranking.

引用

页码：313 / 320

页数：8

共 50 条

[1] Fuzzy Cloud Service Selection Framework
Tajvidi, Masoumeh
Ranjan, Rajiv
Kolodziej, Joanna
Wang, Lizhe
[J]. 2014 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), 2014, : 443 - 448
[2] A novel framework towards viable Cloud Service Selection as a Service (CSSaaS) under a fuzzy environment
Hussain, Abid
Chun, Jin
Khan, Maria
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 104 : 74 - 91
[3] Cloud service evaluation and selection using fuzzy hybrid MCDM approach in marketplace
Subramanian T.
Savarimuthu N.
[J]. International Journal of Fuzzy System Applications, 2016, 5 (02) : 118 - 153
[4] A Novel Framework for Cloud Service Evaluation and Selection Using Hybrid MCDM Methods
Kumar, Rakesh Ranjan
Mishra, Siba
Kumar, Chiranjeev
[J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (12) : 7015 - 7030
[5] A Hybrid Evaluation Framework for QoS Based Service Selection and Ranking in Cloud Environment
Kumar, Rakesh Ranjan
Shameem, Mohammad
Khanam, Rashda
Kumar, Chiranjeev
[J]. IEEE INDICON: 15TH IEEE INDIA COUNCIL INTERNATIONAL CONFERENCE, 2018,
[6] A Novel Framework for Cloud Service Evaluation and Selection Using Hybrid MCDM Methods
Rakesh Ranjan Kumar
Siba Mishra
Chiranjeev Kumar
[J]. Arabian Journal for Science and Engineering, 2018, 43 : 7015 - 7030
[7] Towards a Fuzzy-oriented Framework for Service Selection in Cloud e-Marketplaces
Ezenwoke, Azubuike
Daramola, Olawande
Adigun, Matthew
[J]. CLOSER: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2017, : 604 - 609
[8] A framework of cloud service selection with criteria interactions
Sun, Le
Dong, Hai
Hussain, Omar Khadeer
Hussain, Farookh Khadeer
Liu, Alex X.
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 94 : 749 - 764
[9] KNN-fuzzy Classification for Cloud Service Selection
Nadeem, Humaira
Mujaddid Rabbani, Imran
Aslam, Muhammad
Martinez Enriquez, A. M.
[J]. ICFNDS'18: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS, 2018,
[10] A framework of cloud service selection based on trust mechanism
Yang, Yuli
Peng, Xinguang
Fu, Donglai
[J]. INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2017, 25 (03) : 109 - 119

← 1 2 3 4 5 →