A Marketplace Framework for Trading Cloud-Based Services

Menychtas, Andreas; Gómez, Sergio García; Giessmann, Andrea; Gatzioura, Anna; Stanoevska, Katarina; Vogel, Jürgen; Moulos, Vrettos

doi:10.1007/978-3-642-28675-9_6

Cited by 12 publications

(5 citation statements)

References 12 publications

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“…In certain cases, the decision of adopting cloud computing of many organizations will mainly rely on business partners or suppliers provided with the detailed and systematic IT design and implementation tasks of the migrating system. As researched by Menychtas et al (2012), The trading partner and supplier should equip with function broad selection of cloud computing services, sophisticated service discovery, availability and resolution, and one-stop pricing of service packages that is flexible and suitable arrangement depending on the desired set-up of the organization.…”

Section: Cloud Computing Implementation Csfs Categoriesmentioning

confidence: 99%

Adopting Technology Environment Organization Framework in Virtual Learning through Cloud Computing of Higher Education Institution

Menta

2022

IJCSR

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Purpose–This study intends to adopt the Technology Environment Organization framework in virtual learning through cloud computing in a higher education institution that will streamline the operation of education. Method–A systematic review using descriptive research was presented highlighting the model of the TEOframework in adopting cloud-based computing implementation in the educational system of the HEIs. The study features the critical success factor affecting cloud computing implementation which can be a key point as guidelines and step to embrace technological advancement in the field of education in the Philippines.Results–The study is appeared to contribute to the organization of higher education institutions in the Philippines to make informed decisions relevant to the advancement of cloud technology service selection and deployment processes. The migration of cloud computing implementation in developing countries is proven successful in achieving the benefits of reducing IT cost, scalability, business continuity, collaboration efficiency, easy management and access, complexity, and compatibility. Thus, the Philippines is admissible to a strategic implementation to widen and improve adopting cloud services. Conclusion–Adoption of cloud computing in higher education institutions is an alternative solution in streamlining and managing the educational system infrastructure. Recommendation–Considering the critical success factor affecting cloud computing implementation the TEO framework is a strategic approach to embrace technological advancement in the Philippines.Practical Implication–The use of cloud computing in the virtual learning of the HEIs has been proven effective in the educational operation considering the critical success factor with the Technology Environment and Organization methods. This alignswith new educational system development in improving the infrastructure of the learning platform of the HEIs into more advance and accessible features of the learning delivery through its stakeholders.

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Section: Cloud Computing Implementation Csfs Categoriesmentioning

confidence: 99%

Adopting Technology Environment Organization Framework in Virtual Learning through Cloud Computing of Higher Education Institution

Menta

2022

IJCSR

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“…The marketplace allows multiple cloud service providers (CSPs) to offer resources to consumers in one place, where consumers can select a wide range of service from diverse providers (infrastructure providers, platform providers, application providers, service resellers, intermediators, service aggregators and service enablers). The marketplace enables consistency and standardization of services with unified billing and one-stop cloud solutions for consumers (Menychtas et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

Subramanian

Nickolas

2016

International Journal of Fuzzy System Applications

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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.

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“…The trade of any XaaS is considered one of the main objectives of the marketplace, where X is infrastructure, platform or software. The resource model therefore must be designed carefully in order to accommodate all technical and business specifications of any XaaS offering [22]. Figure 1 shows the resource model as an XML schema.…”

Section: Cn% Rd= W J ×mentioning

confidence: 99%

“…Resource XML Schema. Inspired by [22] V.BASIC ARCHITECTURE This architecture is intended to solve the problem of existing offerings where the buyer is limited to specific resource or set of resources from a single provider only. This architecture forms a marketplace where Cloud resources can be allocated by the market members.…”

Section: Cn% Rd= W J ×mentioning

confidence: 99%

Multi-attribute Combinatorial Marketplaces for Cloud Resource Trading

Alrawahi

Lee

2012

2012 Second International Conference on Cloud and Green Computing

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Abstract-Cloud Computing represents a new era where computing is offered as a service rather than as a physical product. The next level of flexibility will be achieved when Cloud Computing services can be automatically traded. This paper focuses on providing the foundation for simple and flexible Cloud resource trading. This is achieved by proposing vocabularies for the trading of Cloud resources and algorithms for a Cloud marketplace. A multi-attribute combinatorial marketplace is proposed as a solution for situations where Cloud resources need to be traded in combination (bundles). Vocabularies are introduced to serve as a foundation to build standards for Cloud resources trading.

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A Marketplace Framework for Trading Cloud-Based Services

Cited by 12 publications

References 12 publications

Adopting Technology Environment Organization Framework in Virtual Learning through Cloud Computing of Higher Education Institution

Adopting Technology Environment Organization Framework in Virtual Learning through Cloud Computing of Higher Education Institution

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

Multi-attribute Combinatorial Marketplaces for Cloud Resource Trading

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