A Novel QoS-Based Framework for Cloud Computing Service Provider Selection

2014 ◽  
Vol 4 (2) ◽  
pp. 48-72 ◽  
Author(s):  
Maria Salama ◽  
Amir Zeid ◽  
Ahmed Shawish ◽  
Xiaohong Jiang
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Quality Parameters ◽  
Cloud Services ◽  
Content Delivery Network ◽  
Quality Aspects ◽  
Cloud Computing Service

Cloud Computing is a promising computing paradigm that provides flexible, Internet-accessible resources allocation on demand on a pay-as-you-go basis. With the growth and expansion of Cloud services and participation of various services providers, the description of quality parameters and measurement units started to diverse and sometimes contradict. Such ambiguity does not only result in the raise of various QoS interoperability problems, but also in the distraction of the services consumers who find themselves unable to match their quality requirements with the providers' offerings. Influenced by such diversity, the available QoS models are limited to either cost-benefit analysis or performance evaluation, without being able to cover a comprehensive set of well-defined quality aspects. In this paper, we provide a complete framework for such problem. We firstly propose a novel QoS ontology that combine and define all of the existing quality aspects in a unified way to efficiently overcome all existing diversity. Using such ontology, we propose a comprehensive broad QoS model combining all quality parameters of both service providers and consumers for different Cloud platforms. We then propose a mathematical model addressing the Cloud Computing service provider selection optimization problem based on QoS-guarantee. The proposed model reports an efficient matching with the market-oriented different platforms characteristics; validated through extensive simulation studies conducted on benchmark data of Content Delivery Network providers.

Rationale for Use of Cloud Computing

2015 ◽  
pp. 2166-2197
Author(s):  
Amir Zeid ◽  
Ahmed Shawish ◽  
Maria Salama
Keyword(s):  
Cloud Computing ◽  
Cost Benefit Analysis ◽  
Service Selection ◽  
Cost Benefit ◽  
Quality Parameters ◽  
Cloud Services ◽  
Computing Paradigm ◽  
Model Combining ◽  
Quality Aspects ◽  
And Performance

Cloud Computing is the most promising computing paradigm that provides flexible resource allocation on demand with the promise of realizing elastic, Internet-accessible, computing on a pay-as-you-go basis. With the growth and expansion of the Cloud services and participation of various services providers, the description of quality parameters and measurement units start to diversify and sometime contradict. Such ambiguity does not only result in the rise of various Quality of Service (QoS) interoperability problems but also in the distraction of the services consumers who find themselves unable to match quality requirements with the providers' offerings. Yet, employing the available QoS models that cover certain quality aspects while neglecting others drive consumers to perform their service selection based only on cost-benefit analysis and performance evaluation, without being able to perform subjective selection based on a comprehensive set of well-defined quality aspects. This chapter presents a novel QoS ontology that combines and defines all of the existing quality aspects in a unified way to efficiently overcome all existing diversities. Using such an ontology, a comprehensive broad QoS model combining all quality-related parameters of both service providers and consumers for different Cloud platforms is presented. The chapter also provides a mathematical model that formulates the Cloud Computing service provider selection optimization problem based on QoS guarantees. The validation of the provided model is addressed in the chapter through extensive simulation studies conducted on benchmark data of Content Delivery Network providers. The studies report the efficient matching of the model with the market-oriented different platform characteristics.

Rationale for Use of Cloud Computing

2014 ◽  
pp. 24-56
Author(s):  
Amir Zeid ◽  
Ahmed Shawish ◽  
Maria Salama
Keyword(s):  
Cloud Computing ◽  
Cost Benefit Analysis ◽  
Service Selection ◽  
Cost Benefit ◽  
Quality Parameters ◽  
Cloud Services ◽  
Computing Paradigm ◽  
Model Combining ◽  
Quality Aspects ◽  
And Performance

Cloud Computing is the most promising computing paradigm that provides flexible resource allocation on demand with the promise of realizing elastic, Internet-accessible, computing on a pay-as-you-go basis. With the growth and expansion of the Cloud services and participation of various services providers, the description of quality parameters and measurement units start to diversify and sometime contradict. Such ambiguity does not only result in the rise of various Quality of Service (QoS) interoperability problems but also in the distraction of the services consumers who find themselves unable to match quality requirements with the providers’ offerings. Yet, employing the available QoS models that cover certain quality aspects while neglecting others drive consumers to perform their service selection based only on cost-benefit analysis and performance evaluation, without being able to perform subjective selection based on a comprehensive set of well-defined quality aspects. This chapter presents a novel QoS ontology that combines and defines all of the existing quality aspects in a unified way to efficiently overcome all existing diversities. Using such an ontology, a comprehensive broad QoS model combining all quality-related parameters of both service providers and consumers for different Cloud platforms is presented. The chapter also provides a mathematical model that formulates the Cloud Computing service provider selection optimization problem based on QoS guarantees. The validation of the provided model is addressed in the chapter through extensive simulation studies conducted on benchmark data of Content Delivery Network providers. The studies report the efficient matching of the model with the market-oriented different platform characteristics.

An Analysis on the Terms and Conditions of the Clickwrap Agreement and the Benefits of Maintaining the Click Wrap Agreement in Cloud Computing

2022 ◽  
pp. 205-224
Author(s):  
Dhiviya Ram
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
End User ◽  
Cloud Service Provider ◽  
Novel Approach ◽  
Cloud Service Providers ◽  
Provider Perspective

One of the most unique forms of contracting is apparent in cloud computing. Cloud computing, unlike other conventional methods, has adopted a different approach in the formation of binding contract that will be used for the governance of the cloud. This method is namely the clickwrap agreement. Click wrap agreement follows a take it or leave it basis in which the end users are provided with limited to no option in terms of having a say on the contract that binds them during the use of cloud services. The terms found in the contract are often cloud service provider friendly and will be less favourable to the end user. In this article, the authors examine the terms that are often found in the cloud computing agreement as well as study the benefit that is entailed in adopting this contracting method. This chapter has undertaken a qualitative study that comprises interviews of cloud service providers in Malaysia. Hence, this study is a novel approach that also provides insight in terms of the cloud service provider perspective regarding the click wrap agreement.

Cloud Computing Service Provider Business Model Success Characteristics

2022 ◽  
pp. 124-148
Author(s):  
Ignitia Motjolopane ◽  
Tshinakaho Relebogile Seaba
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Service Provider ◽  
Business Models ◽  
Service Providers ◽  
Higher Education Institutions ◽  
Digital Transformation ◽  
Cloud Computing Service ◽  
Information Technology Services ◽  
Successful Business

In a digital arena, information technology services provision is shifting to a cloud computing ecosystem. Cloud computing is an enabler for digital transformation with cloud computing service providers central to the digital transformation of both companies and higher education. As cloud computing service providers play the role of an ‘architect' for companies as supply chain is digitised and in supporting higher education institutions striving to deliver user-focused services in the face of increasing competition, an understanding of successful characteristics of cloud computing service provider business models is of main interest for providers and may also be of value for companies and higher education institutions when selecting cloud computing service providers. Despite the importance of cloud computing service providers' business models, information systems literature has provided limited analysis on the characteristics of successful business models. As such, the chapter aims to contribute to the emerging research on characteristics of successful business models.

Status of Cloud Service Adoption in Climate Risk Country

2018 ◽  
Vol 2 (2) ◽  
pp. 51-54
Author(s):  
E.O. Opoku
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Service Adoption ◽  
Cloud Computing Service ◽  
Cloud Brokerage ◽  
Brokerage Firms ◽  
Local Cloud

Ghana has attained cloud readiness indices facilitating services adoption by local enterprises through brokerage firms. Accordingto Gartner group by 2015, at least 20% of all cloud services will be consumed via internal or external cloud service brokerages,rather than directly with service providers. It means enterprises must identify local cloud brokerage firms to intermediate for cloudclients and service providers. We aimed at surveying cloud service awareness among enterprises in Ghana. We performed fieldstudy using statistical tool to analyze data collected among 45-participants spread across 20 local enterprises, using purposivesampling in the selection of strategic enterprise managers located in the second largest city, Kumasi, Ghana. We employedDelphi technique involving three Information Technology experts to validate responses in reducing margin of error in the analysis.We found that 67% respondents are unaware of local cloud service brokerage firms. Alternatively, 33% respondents mentioned atleast one local cloud brokerage firm; although experts believed some did a chess guessing to have it correct. Our Delphi expertsattributed this alarming percentile to lack of policy stakeholders involvement in ensuring cloud adoption readiness. We concludedon effective sensitization of cloud computing service adoption in optimizing data center proliferation by enterprises in Ghana.Adopting cloud computing over data center helps in reducing global warming contributed by heat emissions from computingservers.

scholarly journals Towards Improved Model for User Satisfaction Assessment of Multimedia Cloud Services

2018 ◽  
Author(s):  
Aleksandar Karadimce ◽  
Danco P. Davcev
Keyword(s):  
Cloud Computing ◽  
User Satisfaction ◽  
Service Providers ◽  
Service Level ◽  
End Users ◽  
Cloud Services ◽  
Dynamic Allocation ◽  
Multimedia Cloud ◽  
Cloud Computing Service ◽  
The Impact

Service providers are in constant search for appropriate tools that will help them to determine and measure the satisfaction of end-users. In terms of efficient utilization of network resources, they are constantly striving to guaranty the quality, availability, and responsibilities of the directly measurable parameters with the service-level agreements (SLA). The introduction of cloud computing technology aims to provide stable, reliable and encapsulated environment for users who use different types of mobile and desktop devices to simultaneously access shared resources that are available anywhere and at any time. However, what is lacking in this direction is an assessment of how much the end-users themselves are satisfied with the cloud-based services offered. This research has considered different cloud computing service categories, some of them have been extensively used and others are still under development. These services use a variety of organizational and infrastructure access models, making them easily accessible and practical for work. The very nature of cloud computing-based services allows dynamic allocation of resources based on end-user needs, which makes the process of evaluating the offered services complex. This research will deliver the most appropriate model for assessing the impacts of objective and subjective factors by using the Bayesian networks. The dynamic nature of these networks allows flexibility and adaptation to measure the impact of various influencing factors. The main contribution of this research is the introduction of a metrics for assessing the user satisfaction of the particular type of offered service. In that direction, this research has provided improved Quality of Experience (QoE) model for measuring and assessing the perception of the multimedia cloud-based services quality among end-users.  

Intuitionistic Fuzzy Score Function Based Multi-Criteria Decision Making Method for Selection of Cloud Service Provider

2020 ◽  
Vol 10 (4) ◽  
pp. 533-539
Author(s):  
Sonal Agrawal ◽  
Pradeep Tripathi
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Score Function ◽  
Cloud Service ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy ◽  
Cloud Computing Service ◽  
Decision Making Problem

Aims & Background: Cloud Computing (CC) has received great attention from the scholarly researchers and IT companies. CC is a standard that offers services through the Internet. The standard has been manipulated by existing skills (such as collect, peer-to-peer and grid computing) and currently accepted by approximately all major associations. Various associations like as Microsoft and Facebook have revealed momentous investments in CC and currently offer services with top levels of reliability. The well-organized and precise evaluation of cloud-based communication network is an essential step in assurance both the business constancy and the continuous open services. Objectives & Methods: To select and rank the CC service providers, we introduce an Improved Score Function (ISF) based Multi-Criteria Decision-Making (MCDM) approach. The proposed approach is developed to solve the MCDM problems with partly unknown weight. To do this, the criteria preferences are given in terms of Intuitionistic Fuzzy Sets (IFSs). Numerical example is illustrated to show the effectiveness of the proposed approach over the previous ones. Results: A decision making problem of cloud computing service provider has been considered for signifying the developed technique and finishes with the outcomes coincide with the already developed methods which confirms the solidity of the developed method. Conclusion: For future, we plan to implement the proposed technique on various decision making problems, clustering and multi-objective problems. Also, we plan to extend our method under different uncertain atmosphere by using other MCDM methods.

Choosing Clouds for an Enterprise

2013 ◽  
Vol 4 (2) ◽  
pp. 38-53
Author(s):  
Ruay-Shiung Chang ◽  
Chih-Shan Liao ◽  
Chuan-Yu Liu
Keyword(s):  
Cloud Computing ◽  
Dynamic Characteristics ◽  
Service Provider ◽  
Service Providers ◽  
Evaluation Model ◽  
Cloud Service ◽  
Cloud Services ◽  
Web Based ◽  
The Past ◽  
Cloud Service Providers

The development of cloud computing has advanced rapidly over the past few years. Benefiting from the dynamic characteristics of cloud computing, enterprises can purchase cloud services based on different aspects in order to save operating expenses. Many companies have seen the opportunities and changes in either cloud service providers or cloud service consumers. For the latter, with so many cloud providers to choose from, there is a need for an evaluation of standards to help find the most suitable service provider. In this paper, the essential factors of enterprise clouds are discussed. An evaluation model is defined, and a web-based enterprise cloud selection application is implemented.

Cloud Computing Service Security and Access: Bridging the Gap between Providers and Customer

2013 ◽  
Vol 380-384 ◽  
pp. 2447-2450
Author(s):  
Xiang Hui Zhao ◽  
Hui Liu ◽  
Jin Yi ◽  
Wen Tian ◽  
Ning Luo ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Provider ◽  
Mobile Environment ◽  
Technology Service ◽  
Cloud Computing Service

This study explores the cloud computing service security and access by considering the cloud provider, service provider and the customers concern and identifying new trends of challenges relate to the two types of concerns. Focusing on the mobile environment, strategies to cope with the challenges are proposed. By investigating concerns from different perspectives, and drawing upon the proposed levels of strategies, we hope to bridge the gap between technology/service providers and the customers.

scholarly journals Conceptual Service Level Agreement Mechanism to Minimize the SLA Violation with SLA Negotiation Process in Cloud Computing Environment

2021 ◽  
Vol 18 (2(Suppl.)) ◽  
pp. 1020
Author(s):  
Narander Kumar ◽  
Surendra Kumar
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service User ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Negotiation Process ◽  
Cloud Computing Service ◽  
Cloud Service Providers

Online service is used to be as Pay-Per-Use in Cloud computing. Service user need not be in a long time contract with cloud service providers. Service level agreements (SLAs) are understandings marked between a cloud service providers and others, for example, a service user, intermediary operator, or observing operators. Since cloud computing is an ongoing technology giving numerous services to basic business applications and adaptable systems to manage online agreements are significant. SLA maintains the quality-of-service to the cloud user. If service provider fails to maintain the required service SLA is considered to be SLA violated. The main aim is to minimize the SLA violations for maintain the QoS of their cloud users. In this research article, a toolbox is proposed to help the procedure of exchanging of a SLA with the service providers that will enable the cloud client in indicating service quality demands and an algorithm as well as Negotiation model is also proposed to negotiate the request with the service providers to produce a better agreement between service provider and cloud service consumer. Subsequently, the discussed framework can reduce SLA violations as well as negotiation disappointments and have expanded cost-adequacy. Moreover, the suggested SLA toolkit is additionally productive to clients so clients can secure a sensible value repayment for diminished QoS or conceding time. This research shows the assurance level in the cloud service providers can be kept up by as yet conveying the services with no interruption from the client's perspective

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