Cloud Basics – An Introduction to Cloud Computing

Stanoevska‐Slabeva, Katarina; Wozniak, Thomas

doi:10.1007/978-3-642-05193-7_4

Cited by 35 publications

(23 citation statements)

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“…These layers have been referred to as cloud service models (Sriram & Khajeh-Hosseini, 2010), cloud business models (Yang & Hsu, 2011;Zhang, Cheng, & Boutaba, 2010)and cloud architectural layer (Stanoevska-Slabeva & Wozniak, 2010). The earliest classification known as the SPI model (Ahson & Ilyas, 2011) stratified cloud services into software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) (Yang & Hsu, 2011;Zhang et al, 2010).…”

Section: Cloud Service Modelsmentioning

confidence: 99%

“…SaaS is a software that is owned, delivered and managed remotely by one or more providers and offered on a pay-per-use mode (Stanoevska-Slabeva & Wozniak, 2010). PaaS facilitates the development and deployment of applications by providing operating system support and software development frameworks.…”

Section: Cloud Service Modelsmentioning

confidence: 99%

“…Challenges or limitations of cloud computing are of technical, managerial and regulatory nature. Technical challenges include: 1) problems availability/reliability of cloud services and the measures to be taken when something goes wrong in the system or its components (Kim, 2009;Buyya et al, 2011;ERNST & YOUNG, 2011), 2) lack of sufficient tools for integration/ Componentization of the various elements of the cloud (Mather et al, 2009, p. 230;Stanoevska-Slabeva & Wozniak, 2010), 3) limited scope for customization so as to suit the specific needs of an organization (Stanoevska-Slabeva & Wozniak, 2010;KPMG, 2011).…”

Section: Cloud Challengesmentioning

confidence: 99%

“…Reliable performance is not merely the attainment of a desired outcome level but also the ability to control variance in the outcomes (B. S. Butler & Gray, 2006;Zahedi, 1987). Cloud computing is still a new technology characterized by lack of standards (W. Kim, 2009), uncontrollable vendor behavior (Ernst & Young, 2011) andintegration with existing architecture (Stanoevska-Slabeva & Wozniak, 2010). It is therefore important that as businesses migrate to cloud computing, the process of migration and implementation should be managed in a manner that contributes to reliable aggregate performance.…”

Section: Reliability In Is Researchmentioning

confidence: 99%

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Mindfulness and Quality of Innovation in Cloud Computing Adoption

Oredo¹,

Njihia²

2014

IJBM

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The emergence of cloud computing is quickly redefining the information technology (IT) and business landscape. Cloud computing involves delivery of IT infrastructure, software and platforms as a service to the end users. This IT acquisition model saves organizations from huge capital expenditures on IT and the burden of keeping a huge IT department to provide system support. Cloud computing as an IT innovation is steadily generating a lot of interest within IT innovation researchers and practitioners. Extant research in IT innovation has heavily relied on the dominant paradigm which explains and predicts innovation adoption on the basis of economic-rationalistic models. These models assume a direct relationship between an organization's innovator profile and the quantity of adoption in terms of earliness, frequency and extent of adoption. Further, they have always assumed a positive relationship between the quantity of innovation and quality of innovation. The advent of radical IT innovations like cloud computing calls for a rethinking of the dominant paradigm in terms of its efficacy in explaining innovative behaviors in organizations. Organizations hoping to adopt cloud computing are in need of a unifying IT innovation model that will help them discern whether, when and how to innovate. That is, they are concerned about the quality of innovation. This study proposes an IT innovation adoption model that incorporates the concept of mindfulness as a moderating factor between quantity of innovation and quality of innovation. The proposed conceptual model is a result of a thorough literature review of the IT innovation adoption research. This study, though conceptual, enriches cloud computing research by proposing an IT innovation model that suits its radical nature compared to other IT innovations. The proposed model once validated will also be of valuable use to practitioners and researchers interested in cloud adoption.

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Section: Cloud Service Modelsmentioning

confidence: 99%

Section: Cloud Service Modelsmentioning

confidence: 99%

Section: Cloud Challengesmentioning

confidence: 99%

Section: Reliability In Is Researchmentioning

confidence: 99%

See 2 more Smart Citations

Mindfulness and Quality of Innovation in Cloud Computing Adoption

Oredo¹,

Njihia²

2014

IJBM

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“…All of the equipment in the network is managed uniformly and formed a shared resource pool. The resource is managed as an entity by the management program and the hardware resource is reconfigured dynamically according to the different load in order to achieve resource sharing, resource customization and on-demand service [6].…”

Section: Virtual Technologymentioning

confidence: 99%

Laboratory Construction and Management of University based on Cloud Computing

Quan¹,

Yang²

2014

Proceedings of the 3rd International Conference on Science and Social Research

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Abstract. At present, the laboratories of universities are facing problems of high-cost, low utilization and hard to manage. Cloud computing can use several workstations and terminal clients to form a virtual computing lab and build a lab workstation platform through cloud computing architecture. This paper proposes a solution about university laboratory construction based on cloud computing to overcome the difficulties in traditional computer laboratory construction. It can effectively reduce the allocation cost, enhance management efficiency and strengthen data security.

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