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

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.

Facilities ◽  
2017 ◽  
Vol 35 (5/6) ◽  
pp. 356-366 ◽  
Author(s):  
Lucy Zarina Campbell

Purpose This paper aims to explore traditional FM research and potential trends. Design/methodology/approach This was an exploratory review of literature. Findings The main thrust of the argument in this paper is that FM research develops a more communicable and proven understanding of how to apply a wide spectrum of externally developed methods in unique FM settings as well as developing new methods. Second, a more robust FM knowledge base can inform designers, engineers and architects given that FMs are experts of design in use. Research limitations/implications This research focused on the UK, Europe, America and Australia. It does not represent a comprehensive/systematic review of the research activities occurring in FM globally. Practical implications Research traditionally focuses on hard FM; in contrast, FM outcomes are heavily dependent on the way end users interact with and use organisational services and equipment. This suggests that there is a gap between practice and research, and that intuitive and in-depth FM knowledge about end users has yet to be captured and formalised through research. Social implications Development of FM research requires uptake of contemporary research trends towards partnered research, working across disciplines. Originality/value Achieving a more robust FM knowledge base would help capture the wealth of knowledge that FMs have about buildings in use; this could then be used by FMs and also by designers to improve their products and services in disciplines like engineering and architecture.


2015 ◽  
Vol 742 ◽  
pp. 683-687 ◽  
Author(s):  
Cong Cheng ◽  
Ai Qing Chen

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.


Kybernetes ◽  
2015 ◽  
Vol 44 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Ying Huo ◽  
Yi Zhuang ◽  
Siru Ni

Purpose – The purpose of this paper is to define an evaluation model for cloud services to deal with the fuzzy information and propose a novel fuzzy evaluation method based on consistency intensity to analyze the quantitative value from the fuzzy information. Design/methodology/approach – The cloud service evaluation framework is constructed, and different trusted indicators for the infrastructure services and the application services are designed, respectively. In the novel fuzzy evaluation method, the interval values can be aggregated by the Dempster-Shafer Theory and be transformed into the certain value by linguistic discount factor. The consistency intensity is proposed to determine the value of the linguistic discount factor, which can reflect the mainstream opinions in the assessment. Findings – The proposed method can solve the problem on the analysis and synthesis of the fuzzy evaluation information. An instance of trust evaluation of cloud storage service is illustrated to verify that the proposed method can express the opinions of all evaluators more adequately. Practical implications – A serial of experiments are carried out on NetLogo, and the results show that the proposed method is practical and efficient. Originality/value – Instead of obtaining only the qualitative results by the multi-attribute decision-making method, the fuzzy evaluation method based on consistency intensity can obtain the quantitative results from the fuzzy information according to linguistic discount factor and consistency intensity.


Author(s):  
Apitchaka Singjai ◽  
Pradorn Sureephong

Purpose – The purpose of this paper is to propose a combined technique of cumulative voting and numerical assignment to prioritize the services of the learning cloud service. Design/methodology/approach – The approach starts with requirement elicitation, then analyses of the requirements in terms of prioritization and finally classifies the priority of services into groups. Findings – As a result of the case study the requirements of the College of Art Media and Technology students has been classified into three service groups. Originality/value – This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations.


2016 ◽  
Vol 5 (2) ◽  
pp. 118-153 ◽  
Author(s):  
Thiruselvan Subramanian ◽  
Nickolas Savarimuthu

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.


2020 ◽  
Author(s):  
Mueen Uddin ◽  
Anjum Khalique ◽  
Awais Khan Jumani

This paper reviews, discusses, and highlights some of the standard cloud computing vulnerabilities primarily related to virtualization platforms and their implementations while outsourcing services and resources to different end-users and business enterprises. Furthermore, we provide Blockchain-enabled solutions for virtualized cloud computing platform involving both the end-users as well as cloud service providers (CSP) to address and solve different security and privacy-related vulnerabilities using blockchain-enabled solutions to improve their cloud services and resource provisioning facilities.


2020 ◽  
Vol 38 (4) ◽  
pp. 785-803
Author(s):  
Deepjyoti Kalita ◽  
Dipen Deka

Purpose Systematic organization of domain knowledge has many advantages in archiving, sharing and retrieval of information. Ontologies provide a cushion for such practices in the semantic Web environment. This study aims to develop an ontology that can preserve the knowledge base of traditional dance practices. Design/methodology/approach It is hypothesized that an ontology-based approach for the chosen domain might boost collaborative research prospects in the domain. A systematic methodology was developed for modeling the ontology based on the analytico-synthetic rule of library classification. Protégé 5.2 was used as an editor for the ontology using the Web ontology language combined with description logic axioms. Ontology was later implemented in a local GraphDB repository to run queries over it. Findings The developed ontology on traditional dances (OTD) was tested using the dances of the Rabha tribes of North East India. Rabha tribes are from an indigenous mongoloid community and have a robust presence in Southeast Asian countries, such as Myanmar, Thailand, Bangladesh, Bhutan and Nepal. The result from HermiT reasoner found the presence of no logical inconsistency in the ontology, while the OOPS! pitfall checker tool reported no major internal inconsistency. The induced knowledge base of traditional dances of the Rabha’s in the developed OTD was further validated based on some competency questions. Research limitations/implications In the growing trend of globalization, preservation of the cultural knowledge base of human societies is an important issue. Traditional dances reflect a strong base of the cultural heritage of human societies as they are closely related to the lifestyle, habitat, religious practices and festivals of a specific community. Originality/value The current study is exclusively designed, keeping in mind the variables of traditional dance domain based on a survey of the user- and domain-specific needs. The ontology finds probable uses in traditional knowledge information systems, lifestyle-based e-commerce sites and e-learning platforms.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Atikuzzaman ◽  
Md. Anwarul Islam

Purpose The purpose of this study is to measure the perceptions and use of cloud services by the students of the University of Dhaka, Bangladesh. The specific objective of this study is to know what perceptions students have about cloud services, why and how they use cloud for academic activities. Design/methodology/approach For understanding the use of cloud services among the students of Dhaka University, a quantitative survey was carried out to collect data. Printed questionnaires were distributed among the students in different departments and university library. Both open- and close-ended questions were included in the questionnaire. A total of 329 students responded in this survey and the response rate was 85.5%. The collected data were analyzed using Statistical Package for the Social Sciences. Findings Findings revealed that students are generally aware of cloud services and majority of the respondents use cloud for different purposes. Students used cloud for storage, back up and collaboration purposes and some of Google features are widely used by majority of the students for academic purposes. Originality/value To the best of authors’ knowledge, this is the first time an effort has been made to measure the use of cloud services among the students of University of Dhaka. This study will help to raise cloud service awareness among the students and encourage the authorities to adopt appropriate strategies and policies to resolve cloud adoption in university setting. Specially, Center of Excellence in Teaching and Learning of Dhaka University can take some initiatives in this case.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Veerendra P. ◽  
Thirupathi Rao

Purpose Determining the roles of multiple CSPs is important because it affects job costs and time off. The primary objective of this work is to ensure an efficient and complex distribution of resources in cloud-based computing. Workflow study of various algorithms such as ant colony optimization (ACO), differential evolution algorithm, genetic algorithm, particle swarm optimization (PSO), hybridization of the above algorithms (ADGP). For research, CSP’s tools are put all over the world. Design/methodology/approach The main objective of this study is to effectively introduce cloud-based computing in CSPs. The algorithm minimizes resource response time and overall workflow tasks. It seeks to improve load balancing by modifying the algorithm to support load balancing. In the proposed multipurpose scheduling methods, the ADGP algorithm performs better than any other proposed algorithm during the resource response. This algorithm was found to be superior to the selected 200 sources and thousands of tasks. It reduces resource response time by copying service nodes through several sites. As this algorithm moves faster to the best solution, the response time of the resource is reduced compared to other algorithms. Findings Hybrid ACOs perform best when it comes to resource management when workloads are uniformly spread across multiple virtual machines. However, hybrids PSOs are better suited to choosing the best options to minimize costs. Overall, an optimal cloud-based scheduling solution can be successfully simulated using CloudSim in CSP to share resources between end-users to support consumers and users effectively. Originality/value Hybrid ACOs perform best when it comes to resource management when workloads are uniformly spread across multiple virtual machines. However, hybrids PSOs are better suited to choosing the best options to minimize costs. Overall, an optimal cloud-based scheduling solution can be successfully simulated using CloudSim in CSP to share resources between end-users to support consumers and users effectively.


2017 ◽  
Vol 35 (3) ◽  
pp. 520-533 ◽  
Author(s):  
Chia-Sui Wang ◽  
Yu-Lin Jeng ◽  
Yong-Ming Huang

Purpose The purpose of this study is to explore the determinants of teachers’ continuance intention concerning cloud services. Design/methodology/approach This study uses a cloud service, namely, Google Sites, to support teacher collaboration and further develop a research model to explore the determinants of their continued usage intention. Findings The findings reveal that continued intention to use the cloud services is primarily determined by their attitude towards using it; attitude towards using is affected by perceived ease of use and perceived usefulness; and perceived ease of use is influenced by facilitating conditions, while perceived usefulness is influenced by social influence. Practical implications This study determines that teachers intend to continue using cloud services once training in using such services has been provided and if they hear favourable opinions from others. Originality/value The paper enables us to better understand factors affecting teachers' continuance intention toward cloud services.


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