Compute and storage clouds using wide area high performance networks

Grossman, Robert L.; Gu, Yunhong; Sabala, Michael; Zhang, Wanzhi

doi:10.1016/j.future.2008.07.009

Cited by 149 publications

(63 citation statements)

References 13 publications

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“…Numerous studies can be found in the literature that address the use of cloud systems in such companies, ranging from technical issues, such as infrastructure security through proposed new architectures and methods [20][21][22][23][24][25], efficient data management [26][27][28], performance and quality of service measurement criteria [9,29,30], and the issues surrounding interoperability standards and difficulties for their integration and customization [31][32][33]. In other cases, the backbone of research deals with problems more related to business management issues, such as cloud computingassociated opportunities, costs and risks [34][35][36][37], and the importance of trust and data privacy [38][39][40][41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Palos-Sánchez

Arenas‐Márquez

Aguayo-Camacho

2017

Mobile Information Systems

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The present study empirically analyzes the factors that determine the adoption of cloud computing (SaaS model) in firms where this strategy is considered strategic for executing their activity. A research model has been developed to evaluate the factors that influence the intention of using cloud computing that combines the variables found in the technology acceptance model (TAM) with other external variables such as top management support, training, communication, organization size, and technological complexity. Data compiled from 150 companies in Andalusia (Spain) are used to test the formulated hypotheses. The results of this study reflect what critical factors should be considered and how they are interrelated. They also show the organizational demands that must be considered by those companies wishing to implement a real management model adopted to the digital economy, especially those related to cloud computing.

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Section: Introductionmentioning

confidence: 99%

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Palos-Sánchez

Arenas‐Márquez

Aguayo-Camacho

2017

Mobile Information Systems

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“…The advent of big data age has brought challenges, but also brought opportunities. Make full use of the original and mass tourism data and mine the mass tourism data fast, conveniently and accurately to provide tourists with good tourism information services, which has become the new direction of tourism big data research [5][6].…”

Section: Overview Of Big Datamentioning

confidence: 99%

Overview of Tourism Data Mining in Big Data Environment

Xiao¹,

Xiang²

2017

Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

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Abstract. With the advent of the information age, the network is filled with all kinds of information and people in the vast amount of information are in the face of all kinds of confusion, thus data analysis has become a more difficult problem. Big data can solve this problem well and can greatly improve the efficiency of data mining. In order to apply the big data technology to the tourism industry, this paper introduces the concept of big data and the development demand of tourism big data, summarizes the common technology

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“…"Storage as a Service (E)" (2009), Grossman et al [43] proposed it for a storage cloud. "Hardware as a Service (M)" and "IT Infrastructure Management as a Service (M)" (2009), Kaufman [55] proposed provision hardware as a service and IT Infrastructure as a service.…”

Section: Infrastructure As a Servicementioning

confidence: 99%

Sorting Terms of “aaS” of Everything as a Service

Duan¹,

Sun²,

Longo³

et al. 2016

IJNDC

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Numerous service models have been proposed in the form of "as a Service" or "aaS" in the past. This is especially eminent in the era of the Cloud under the term of anything as a service or everything as a service(XaaS). A unified view of XaaS can aid efficient classification of services for service registration, discovery, and composition. In view of that there lacks such a unified view which is demanded by systematic application of XaaS in the Web Service Ecosystem, towards proposing a taxonomy of "aaS", we present in this work a collection of "aaS" based on a throughout literature survey. We also proposed a strategy to identify the terms from the servicelization perspective.

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Compute and storage clouds using wide area high performance networks

Cited by 149 publications

References 13 publications

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

Overview of Tourism Data Mining in Big Data Environment

Sorting Terms of “aaS” of Everything as a Service

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