Decentralized Storage System for Edge Computing

Author(s):  
Alin-Gabriel Gheorghe ◽  
Constantin-Cosmin Crecana ◽  
Catalin Negru ◽  
Florin Pop ◽  
Ciprian Dobre
IoT ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 610-632
Author(s):  
Oluwashina Joseph Ajayi ◽  
Joseph Rafferty ◽  
Jose Santos ◽  
Matias Garcia-Constantino ◽  
Zhan Cui

The scale of Internet of Things (IoT) systems has expanded in recent times and, in tandem with this, IoT solutions have developed symbiotic relationships with technologies, such as edge Computing. IoT has leveraged edge computing capabilities to improve the capabilities of IoT solutions, such as facilitating quick data retrieval, low latency response, and advanced computation, among others. However, in contrast with the benefits offered by edge computing capabilities, there are several detractors, such as centralized data storage, data ownership, privacy, data auditability, and security, which concern the IoT community. This study leveraged blockchain’s inherent capabilities, including distributed storage system, non-repudiation, privacy, security, and immutability, to provide a novel, advanced edge computing architecture for IoT systems. Specifically, this blockchain-based edge computing architecture addressed centralized data storage, data auditability, privacy, data ownership, and security. Following implementation, the performance of this solution was evaluated to quantify performance in terms of response time and resource utilization. The results show the viability of the proposed and implemented architecture, characterized by improved privacy, device data ownership, security, and data auditability while implementing decentralized storage.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 96271-96283
Author(s):  
Lixin Liang ◽  
Huan He ◽  
Jian Zhao ◽  
Chengjian Liu ◽  
Qiuming Luo ◽  
...  

2021 ◽  
Vol 118 ◽  
pp. 14-36
Author(s):  
João A. Silva ◽  
Filipe Cerqueira ◽  
Hervé Paulino ◽  
João M. Lourenço ◽  
João Leitão ◽  
...  

Author(s):  
Y. Kokubo ◽  
W. H. Hardy ◽  
J. Dance ◽  
K. Jones

A color coded digital image processing is accomplished by using JEM100CX TEM SCAN and ORTEC’s LSI-11 computer based multi-channel analyzer (EEDS-II-System III) for image analysis and display. Color coding of the recorded image enables enhanced visualization of the image using mathematical techniques such as compression, gray scale expansion, gamma-processing, filtering, etc., without subjecting the sample to further electron beam irradiation once images have been stored in the memory.The powerful combination between a scanning electron microscope and computer is starting to be widely used 1) - 4) for the purpose of image processing and particle analysis. Especially, in scanning electron microscopy it is possible to get all information resulting from the interactions between the electron beam and specimen materials, by using different detectors for signals such as secondary electron, backscattered electrons, elastic scattered electrons, inelastic scattered electrons, un-scattered electrons, X-rays, etc., each of which contains specific information arising from their physical origin, study of a wide range of effects becomes possible.


2020 ◽  
Vol 140 (9) ◽  
pp. 1030-1039
Author(s):  
W.A. Shanaka P. Abeysiriwardhana ◽  
Janaka L. Wijekoon ◽  
Hiroaki Nishi

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