Cloud Computing: Does Nirvana Hide behind the Nebula?

Erdogmus, Hakan

doi:10.1109/ms.2009.31

Cited by 138 publications

(69 citation statements)

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“…In the K-Means algorithm [7], all points were calculated and assigned to the nearest cluster center and update the K cluster centers can be paralleled. All points be computed and assigned to the nearest cluster center can use many map tasks to achieve, update the K cluster centers can be implemented using multiple reduce tasks.…”

Section: Parallelization K-meansmentioning

confidence: 99%

Spectral clustering algorithm based on Hadoop cloud platform research and implementation

Zhang¹,

Hou²,

Lei³

2016

Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

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Abstract. Spectral clustering algorithm based on the theory of spectrum, its meaning is the optimal clustering problem into graph partitioning problem is a point of clustering algorithms can be high-dimensional data set cluster after dimensionality reduction. Greatly reducing the time of clustering. Compared with the traditional clustering algorithm, spectral clustering which can have the advantage of clustering and converge to the global optimal solution in the sample space of arbitrary shape. However, the prevalence of large data sets are in the real world, when we want to clustering the spectral of large data sets, because the data is too large, the convergence rate will slow down, if not impossible to obtain results within the stipulated time we give us a lot of problems cluster. Thus, this paper based on Hadoop cloud platform to achieve large-scale clustering high-dimensional data sets. Experiments show that: spectral clustering algorithm after the parallel deployments running on Hadoop clusters, with good speedup and good scalability.

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Section: Parallelization K-meansmentioning

confidence: 99%

Spectral clustering algorithm based on Hadoop cloud platform research and implementation

Zhang¹,

Hou²,

Lei³

2016

Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

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“…Cloud computing is defined as a collection of disembodied services accessible from anywhere using any mobile device with an internet-based connection (Erdogmus, 2009;Gartner, 2009;Misra and Mondal, 2010;Sultan, 2010). Surveys were completed in 2009 by Gartner analysts on IT trends (especially cloud computing) to show that cloud computing is being used more in the areas of business when compared to other fields (Gartner, 2009).…”

Section: A New Technologymentioning

confidence: 99%

Adoption of cloud computing in manufacturing industry supply chains, a hype or a myth?

Ali

2013

Second International Conference on Future Generation Communication Technologies (FGCT 2013)

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Cloud computing technology which is next-generation architecture has created hype in IT and business world promising to deliver wide range of benefits. Gartner estimated that cloud market will surpass $148.8 billion by 2014. Despite the fact cloud computing technology remains for many an unfamiliar concept. Therefore, if cloud computing technology is to achieve its potential then there is need to have a clear understanding of various factors associated with its adoption by business. Cloud computing technology has already started impacting businesses and penetrated many areas from banks, automobile sector, education, logistics, wholesale, retail and health care. It is also emerging as a major enablers for the manufacturing industry that can transform the traditional business model, help it with product innovation with business strategy and create effective factory networks with collaboration. Adoption of cloud computing technology in supply chains of manufacturing industry will also improve performance in the form of better information visibility, cost reduction, and improved agility. For IS researchers, this study will outline factors associated with adaption of cloud computing technology in supply chains of manufacturing industry so that they will be in a position to advise the industry in the years to come. . The paper will start by general introduction with an overview about cloud computing. Then, it will summarize the literature work that has been done so far with advantages of cloud computing technology. In next section, the theoretical framework will be described. Finally, the paper will close with a conclusion.

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“…Moreover, it can be viewed as a computing pattern where scalable IT related capabilities are given as a service over the internet to various external customers, using interconnected and virtualized computers that allocate resources based on service-level agreement negotiated between service provider and clients [36]- [38]. It can also be defined as a pool, very adaptable and abstracted infrastructure that is capable of facilitating end-client applications that are charged by consumption [39].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Intention of Adopting Cloud Computing in Jordanian Hospitals

Harfoushi¹,

Akhorshaideh²,

Aqqad³

et al. 2016

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The purpose of this study is to examine the different factors that are expected to influence the intention of hospitals to adopt cloud computing in Jordan. This study is conducted using quatititative methodology. 223 questionnaires were distributed to the IT departments of different hospitals to evaluate their ability and willingness to adopt cloud computing. The data were tested using multiple regression in order to determine whether Technology, Organizational, and Environmental factors (TOE) played a role in hospitals' decision to consider cloud computing as a beneficial investment. The findings of this study showed that all the factors had a significant positive impact on the intention of hospitals to adopt cloud computing, with the Technological factor having the most impact on the decision made.

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Cloud Computing: Does Nirvana Hide behind the Nebula?

Cited by 138 publications

References 0 publications

Spectral clustering algorithm based on Hadoop cloud platform research and implementation

Spectral clustering algorithm based on Hadoop cloud platform research and implementation

Adoption of cloud computing in manufacturing industry supply chains, a hype or a myth?

Factors Affecting the Intention of Adopting Cloud Computing in Jordanian Hospitals

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