Cloud computing — The business perspective

Marston, Sean; Zhi, Li; Bandyopadhyay, Subhajyoti; Zhang, Juheng; Ghalsasi, Anand

doi:10.1016/j.dss.2010.12.006

Cited by 1,707 publications

(516 citation statements)

References 18 publications

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“…The term CC represents a complex interplay of IT related capabilities that have evolved to represent one of the major developments in the history of computing, as it has fundamentally changed the way in which IT services are invented, developed, scaled, updated, maintained and financed (Marston et al, 2011). Owing to the complexity of CC, defining it in its entirety is equally challenging.…”

Section: Cloud Computing Definedmentioning

confidence: 99%

“…Thus, CC seems to offer more flexibility and less commitment on the part of the client. Finally, with CC, users can (near) instantly scale up or down the level of services or request new services since computing resources are managed through software (Marston et al, 2011). This is further explored in Section 3 which discusses the benefits and risks of CC from the accounting and performance perspectives.…”

Section: Cloud Computing As An Evolution Of Itomentioning

confidence: 99%

“…CC adopters can choose among one or several of the services offered. With the SAAS model, clients run applications such as Facebook and Twitter on the cloud as opposed to running them on local computers (Marston et al, 2011). An example of an accounting software package that is now available as a SAAS model is Mind Your Own Business (MYOB) which no longer needs to be purchased and downloaded onto a PC as stand-alone software (Timson, 2010).…”

Section: Cloud Computing Definedmentioning

confidence: 99%

“…An example of an accounting software package that is now available as a SAAS model is Mind Your Own Business (MYOB) which no longer needs to be purchased and downloaded onto a PC as stand-alone software (Timson, 2010). A PAAS model facilitates the development and deployment of applications, eliminating the need to manage and maintain costly hardware and software layers (Marston et al, 2011). Examples of PAAS include Microsoft's Azure Services Platform and Salesforce's Force.com.…”

Section: Cloud Computing Definedmentioning

confidence: 99%

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Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Yigitbasioglu¹,

MacKenzie²,

Low³

2013

IJDAR

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Abstract. The purpose of this paper is to provide an evolutionary perspective of cloud computing (CC) by integrating two previously disparate literatures: CC and information technology outsourcing (ITO). We review the literature and develop a framework that highlights the demand for the CC service, benefits, risks, as well as risk mitigation strategies that are likely to influence the success of the service. CC success in organisations and as a technology overall is a function of (i) the outsourcing decision and supplier selection, (ii) contractual and relational governance, and (iii) industry standards and legal framework. Whereas CC clients have little control over standards and/or the legal framework, they are able to influence other factors to maximize the benefits while limiting the risks. This paper provides guidelines for (potential) cloud computing users with respect to the outsourcing decision, vendor selection, service-level-agreements, and other issues that need to be addressed when opting for CC services. We contribute to the literature by providing an evolutionary and holistic view of CC that draws on the extensive literature and theory of ITO. We conclude the paper with a number of research paths that future researchers can follow to advance the knowledge in this field.

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Section: Cloud Computing Definedmentioning

confidence: 99%

Section: Cloud Computing As An Evolution Of Itomentioning

confidence: 99%

Section: Cloud Computing Definedmentioning

confidence: 99%

Section: Cloud Computing Definedmentioning

confidence: 99%

See 2 more Smart Citations

Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Yigitbasioglu¹,

MacKenzie²,

Low³

2013

IJDAR

View full text Add to dashboard Cite

show abstract

“…Despite the several doubts in the decision-making process, companies are appearing as high potential customers for cloud computing (Marston et al;2011).…”

Section: Introductionmentioning

confidence: 99%

A proposal of Infrastructure-as-a-Service providers pricing model using linear regression

Belusso

Sawicki

Basto‐Fernandes

et al. 2018

RBCA

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The increasing demand for companies to reduce the IT infrastructure (on-premise) are driving the adoption of a type of cloud computing category known as Infrastructure-as-a-Service (IaaS) to provide virtualized computing resources over the Internet. However, the choice of an instance of virtual machine whose con guration is able to meet the demands of the company is a complex task, especially concerning the price charged by providers. The lack of transparency of the mechanism of de nition of the prices adopted by providers makes di cult the decision-making process, considering the in uence of several factors on the nal price of the instances, among them the geographical location of the data center. In view of this problem, this work presents a new proposal of price modeling of instances using multiple linear regression model, including the geographical location of the data center as one of variables of the model. To verify the accuracy of the regression model proposed, the calculated prices were compared to real prices charged by IaaS providers Amazon EC2, Google Cloud Platform e Microsoft Azure. ResumoA crescente demanda por parte das empresas para reduzir a infraestrutura de TI local está impulsionando a adoção de um tipo de categoria de computação em nuvem conhecida como Infraestrutura-como-um-Serviço (IaaS) para fornecer recursos de computação virtualizados pela Internet. No entanto, a escolha de uma instância de máquina virtual cuja con guração seja capaz de atender às demandas da empresa é uma tarefa complexa, especialmente no que se refere ao preço cobrado pelos provedores. A falta de transparência do mecanismo de de nição dos preços adotados pelos provedores torna difícil o processo de tomada de decisão, considerando a in uência de vários fatores sobre o preço nal das instâncias, dentre eles a localização geográ ca do data center. Diante deste problema, este trabalho apresenta uma nova proposta de modelagem de preços de instâncias usando o modelo de regressão linear múltipla, incluindo a localização geográ ca do data center como uma das variáveis do modelo. Para veri car a precisão do modelo de regressão proposto, os preços calculados foram comparados aos preços reais cobrados pelos provedores de IaaS Amazon EC2, Google Cloud Platform e Microsoft Azure. Palavras-Chave:Computação em Nuvem; Infraestrutura-como-um-Serviço; Integração de Aplicações Empresariais; Modelo de Preços; Regressão Linear 44 Belusso et al. / Revista Brasileira de Computação Aplicada (2018), v.10, n.2, pp.44-53 | 45

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Resource Service Management in Manufacturing Grid System

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Cloud computing — The business perspective

Cited by 1,707 publications

References 18 publications

Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

Cloud Computing: How does it differ from IT outsourcing and what are the implications for practice and research?

A proposal of Infrastructure-as-a-Service providers pricing model using linear regression

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