An Identity-Based Security Scheme for a Big Data Driven Cloud Computing Framework in Smart Grid

Studies concerning Big Data patents have been published; however, research investigating Big Data projects is scarce. Therefore, the objective of this study was to conduct an exploratory analysis of a patent database to collect information about the characteristics of registered patents related to Big Data projects. We searched for patents related to Big Data projects in the Espacenet database on January 10, 2021, and identified 109 records.. The textual analysis detected three word classes interpreted as (i) a direction to cloud computing, (ii) optimization of solutions, and (iii) storage and data sharing structures. Our results also revealed emerging technologies such as Blockchain and the Internet of Things, which are utilized in Big Data project solutions. This observation demonstrates the importance that has been given to solutions that facilitate decision-making in an increasingly data-driven context. As a contribution, we understand that this study endorses a group of researchers that has been dedicated to academic research on patent documents.

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Cloud computing framework for smart grid applications

2013 48th International Universities' Power Engineering Conference (UPEC) ◽

10.1109/upec.2013.6714855 ◽

2013 ◽

Cited By ~ 20

Author(s):

Berthold Bitzer ◽

Enyew Sileshi Gebretsadik

Keyword(s):

Cloud Computing ◽

Smart Grid ◽

Grid Applications ◽

Computing Framework

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Big data cloud computing framework for low carbon supplier selection in the beef supply chain

Journal of Cleaner Production ◽

10.1016/j.jclepro.2018.07.236 ◽

2018 ◽

Vol 202 ◽

pp. 139-149 ◽

Cited By ~ 16

Author(s):

Akshit Singh ◽

Sushma Kumari ◽

Hanif Malekpoor ◽

Nishikant Mishra

Keyword(s):

Cloud Computing ◽

Big Data ◽

Supply Chain ◽

Supplier Selection ◽

Low Carbon ◽

Computing Framework ◽

Beef Supply Chain

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Towards Fast Response, Reduced Processing and Balanced Load in Fog-Based Data-Driven Smart Grid

Energies ◽

10.3390/en11123345 ◽

2018 ◽

Vol 11 (12) ◽

pp. 3345 ◽

Cited By ~ 8

Author(s):

Rasool Bukhsh ◽

Nadeem Javaid ◽

Zahoor Ali Khan ◽

Farruh Ishmanov ◽

Muhammad Afzal ◽

...

Keyword(s):

Cloud Computing ◽

Smart Grid ◽

Data Center ◽

Smart Grids ◽

Data Centers ◽

Residential Buildings ◽

System Model ◽

Data Driven ◽

Efficient Allocation ◽

Selection Of

The integration of the smart grid with the cloud computing environment promises to develop an improved energy-management system for utility and consumers. New applications and services are being developed which generate huge requests to be processed in the cloud. As smart grids can dynamically be operated according to consumer requests (data), so, they can be called Data-Driven Smart Grids. Fog computing as an extension of cloud computing helps to mitigate the load on cloud data centers. This paper presents a cloud–fog-based system model to reduce Response Time (RT) and Processing Time (PT). The load of requests from end devices is processed in fog data centers. The selection of potential data centers and efficient allocation of requests on Virtual Machines (VMs) optimize the RT and PT. A New Service Broker Policy (NSBP) is proposed for the selection of a potential data center. The load-balancing algorithm, a hybrid of Particle Swarm Optimization and Simulated Annealing (PSO-SA), is proposed for the efficient allocation of requests on VMs in the potential data center. In the proposed system model, Micro-Grids (MGs) are placed near the fogs for uninterrupted and cheap power supply to clusters of residential buildings. The simulation results show the supremacy of NSBP and PSO-SA over their counterparts.

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