Holistic SLA Ontology for Cloud Service Evaluation

2013 ◽  
Author(s):  
Kahina Hamadache ◽  
Stamatia Rizou
Keyword(s):  
Cloud Service ◽  
Service Evaluation

Personalized cloud service review analysis based on modularized ontology

2020 ◽  
Vol 44 (5) ◽  
pp. 953-975
Author(s):  
Emna Ben-Abdallah ◽  
Khouloud Boukadi ◽  
Mohamed Hammami ◽  
Mohamed Hedi Karray
Keyword(s):  
Knowledge Base ◽  
Positive Impact ◽  
Cloud Service ◽  
Service Evaluation ◽  
End Users ◽  
Cloud Services ◽  
Limited Information ◽  
Content Type ◽  
Ontology Language ◽  
Modular Ontology

PurposeThe purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.Design/methodology/approachpropose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.FindingsThe findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.Research limitations/implicationsLimited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.Practical implicationsThe SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.Originality/valueThe SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.

A Novel Framework for Cloud Service Evaluation and Selection Using Hybrid MCDM Methods

2017 ◽  
Vol 43 (12) ◽  
pp. 7015-7030 ◽  
Author(s):  
Rakesh Ranjan Kumar ◽  
Siba Mishra ◽  
Chiranjeev Kumar
Keyword(s):  
Cloud Service ◽  
Service Evaluation

Study on Cloud Service Evaluation Index System Based on QoS

2015 ◽  
Vol 742 ◽  
pp. 683-687 ◽  
Author(s):  
Cong Cheng ◽  
Ai Qing Chen
Keyword(s):  
Index System ◽  
Cloud Service ◽  
Analytic Network Process ◽  
Service Evaluation ◽  
Cloud Services ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Evaluation Indexes ◽  
Network Process

It is extremely urgent to study on the scientific and reasonable evaluation index system in this field when small and medium-sized enterprises start turning to purchase cloud services instead of IT hardware. By making use of analytic network process, based on characteristics of cloud services, referring to common QoS properties in cloud service evaluation, 11 cloud service evaluation indexes are established in this paper and each index is quantified.

Cloud service evaluation model based on trust and privacy-aware

Optik ◽  
2017 ◽  
Vol 134 ◽  
pp. 269-279 ◽  
Author(s):  
Yubiao Wang ◽  
Junhao Wen ◽  
Xibin Wang ◽  
Wei Zhou
Keyword(s):  
Evaluation Model ◽  
Cloud Service ◽  
Service Evaluation ◽  
Model Based

Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace

2016 ◽  
Vol 5 (2) ◽  
pp. 118-153 ◽  
Author(s):  
Thiruselvan Subramanian ◽  
Nickolas Savarimuthu
Keyword(s):  
Service Providers ◽  
Pairwise Comparison ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
Service Evaluation ◽  
Cloud Services ◽  
Qualitative And Quantitative ◽  
Different Types ◽  
Criteria Weights ◽  
Selection Of

Cloud services are offered independently or combining two or more services to satisfy consumer requirements. Different types of cloud service providers such as direct sellers, resellers and aggregators provide services with different level of service features and quality. The selection of best suitable services involves multi-criteria nature of services to be compared with the presence of both qualitative and quantitative factors, which make it considerably more complex. To overcome this complexity, a fuzzy hybrid multi-criteria decision making approach has been proposed, which includes both qualitative and quantitative factors. Triangular fuzzy numbers are used in all pairwise comparison matrices in the Fuzzy ANP and the criteria weights are utilized by Fuzzy TOPSIS and Fuzzy ELECTRE methods to rank the alternatives. This strategy is demonstrated with selection of cloud based collaboration tool for designers. Finally, sensitivity analysis is performed to prove the robustness of the proposed approach.

scholarly journals A SLA VIOLATION DEGREE-AWARE CLOUD SERVICE EVALUATION APPROACH BASED ON HISTORICAL RECORDS

2014 ◽  
Vol 2 (4) ◽  
pp. 23-33
Author(s):  
Lianyong Qi ◽  
◽  
Wanchun Dou ◽  
Xuyun Zhang ◽  
Yuming hou ◽  
...  
Keyword(s):  
Cloud Service ◽  
Service Evaluation ◽  
Historical Records ◽  
Evaluation Approach ◽  
Sla Violation

Cloud Service Evaluation

2016 ◽  
pp. 349-360
Author(s):  
Zheng Li ◽  
Liam O'Brien ◽  
Rajiv Ranjan
Keyword(s):  
Cloud Service ◽  
Service Evaluation
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