Integration of Cloud computing and Internet of Things: A survey

Botta, Alessio; Donato, Walter de; Persico, Valerio; Pescapè, Antonio

doi:10.1016/j.future.2015.09.021

Cited by 1,935 publications

(898 citation statements)

References 91 publications

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“…Some research activities are devoted to develop useful technology to enable sensors embedded in SO to perform different kind of measurements, and to use the Internet connection for the remote monitoring [12]. The global market success of SO, such as the smart sensors, smart meter [13], [14] derives from low cost, small size, and the possibility to monitor multiple parameters at the same time. Such devices allow home-automation applications, power management [15], power grid functioning, surveillance and many other innovative applications [16].…”

Section: Internet-of-things (Iot)mentioning

confidence: 99%

New Approaches in the Consumer - Supplier Relationship Regarding Malfunctions in the Electroenergetic Systems and from the Perspective of the IoT Development

Botea

Marinescu

2017

The Scientific Bulletin of Electrical Engineering Faculty

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Section: Internet-of-things (Iot)mentioning

confidence: 99%

New Approaches in the Consumer - Supplier Relationship Regarding Malfunctions in the Electroenergetic Systems and from the Perspective of the IoT Development

Botea

Marinescu

2017

The Scientific Bulletin of Electrical Engineering Faculty

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“…Concerns about lack of trust in the service provider, insufficient knowledge about service level agreements (SLAs), and possibility of attacks on distributed locations are some of the challenges that are hindering the adoption of cloud computing infrastructure (Botta et al, 2016). A key challenge associated with the use of cloud computing infrastructure is fault tolerance dealing with the ability of the cloud to detect and recover without any damage to the final output (Cheraghlou et al, 2016).…”

Section: Big Data Using Cloud Computing -Opportunities and Challengesmentioning

confidence: 99%

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Vajjhala¹,

Ramollari²

2016

Eur. j. econ. bus. stud.

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Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small-sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic competitive advantage but are often limited by the lack of adequate financial resources to invest on the technology and manpower. Several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor. Cloud computing eliminates the need to maintain expensive computing hardware and software. Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data. SMEs can take advantage of cloud computing techniques to avail the advantages of big data without significant investments in technology and manpower. This paper explores the current trends in the area of big data using cloud resources and how SMEs can take advantage of these technological trends. The results of this study will benefit SMEs in identifying and exploring possible opportunities and also understanding the challenges in leveraging big data.

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“…This is because of numerous technological and scientific developments, together with the IoT, the explosion of the Cloud Computing [1] as well as the increase of smart devices. At the back scene, dominant systems and distributed applications are behind such multiple connections systems e.g., smart grid systems, healthcare systems, retailing systems like that of Walmart, government systems etc.…”

Section: Introductionmentioning

confidence: 99%

Parallel processing on Big Data in the context of Machine Learning and Hadoop Ecosystem: A Survey

Brahmane¹,

R²

2018

IJET

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Emergent Big Data applications have become gradually more essential. In reality, a lot of institutes, businesses and in general entire society from diverse segments depend more and more on information take out from enormous quantity of raw information, statistics and numbers. On the other hand, in Big Data perspective, customary information methods and policies are not as much of capable. They prove a time-consuming receptiveness and are short of quantifiability, measurability, presentation and accurateness. To solve the composite Big Data constraints and difficulties, a large amount effort has been carried out. As an effect, different categories of packages, distributions and technologies have been developed. In this paper an evaluation is done, this studies recent technologies developed for Big Data. It aims to assist to choose and adopt the exact combination of diverse Big Data technologies according to their technological, scientific needs and particular applications requirements. It provides not only a worldwide sight of most important Big Data technologies but also relationship according to special organizational, classifications levels

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Integration of Cloud computing and Internet of Things: A survey

Cited by 1,935 publications

References 91 publications

New Approaches in the Consumer - Supplier Relationship Regarding Malfunctions in the Electroenergetic Systems and from the Perspective of the IoT Development

New Approaches in the Consumer - Supplier Relationship Regarding Malfunctions in the Electroenergetic Systems and from the Perspective of the IoT Development

Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Parallel processing on Big Data in the context of Machine Learning and Hadoop Ecosystem: A Survey

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