The Role of Autonomous Computing, Cloud Computing, and Multimedia in IoT

2018 ◽  
pp. 131-147
Author(s):  
Ahmed Mahmoud Mostafa
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Configurable Computing ◽  
Autonomous Computing ◽  
Large Numbers ◽  
The Us ◽  
Management Schemes ◽  
Iot Devices ◽  
User Intervention

Connecting a large number of physical objects equipped with sensors to the Internet generates what is called “big data.” Big data needs smart and efficient storage. The emerging and developing technology of cloud computing is defined by the US National Institute of Standards and Technology (NIST) as an access model to an on-demand network of shared configurable computing sources such as networks, servers, warehouses, applications, and services. The manual installation and management of IoT devices becomes impractical due to the large numbers involved. Specifically, there exists an inefficiency that can be resolved by minimizing user intervention. The manual maintenance of a large number of devices becomes inefficient, and demands the presence of intelligent and dynamic management schemes. In addition, Internet of Things systems cannot successfully realize the notion of ubiquitous connectivity of everything if they are not capable to truly include ‘multimedia things'.

Big Data Analytics and the Accessibility of Public Inquiries

2020 ◽  
pp. 217-230
Author(s):  
Philip Garnett ◽  
Sarah M. Hughes
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Public ◽  
The Us ◽  
The Uk

In this chapter, Garnett and Hughes focus on the role of big data in accessing information from public inquiries. Looking at the Chelsea Manning court martial in the US and the Leveson Inquiry in the UK, they argue that the manner in which information pertaining to inquiries is made public is, at best, unsatisfactory. They propose a variety of means to make this information more accessible and hence more transparent to the public through employing big data techniques.

scholarly journals Threshold Key Management Scheme for Blockchain-Based Intelligent Transportation Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tianqi Zhou ◽  
Jian Shen ◽  
Yongjun Ren ◽  
Sai Ji
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Intelligent Transportation Systems ◽  
Key Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Important Application ◽  
Management Scheme ◽  
Management Schemes ◽  
Key Management Scheme

Intelligent transportation systems (ITS) have always been an important application of Internet of Things (IoT). Today, big data and cloud computing have further promoted the construction and development of ITS. At the same time, the development of blockchain has also brought new features and convenience to ITS. However, due to the endless emergence of increasingly advanced types of attacks, the security of blockchain-based ITS needs more attention from industry and academia. In this paper, we focus on exploring the primitives in cryptography to guarantee the security of blockchain-based ITS. In particular, the authentication, encryption, and key management schemes in cryptography are discussed. Furthermore, we propose two methods for achieving the threshold key management in blockchain-based ITS. The proposed threshold key management scheme (with threshold t ) enables various stakeholders to recover a secret if the number of participated stakeholders is at least t . It should be noted that the proposed threshold key management scheme is efficient and secure for multiple users in blockchain-based ITS, especially for the data-sharing scenario.

scholarly journals An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2418 ◽  
Author(s):  
Sergio Trilles ◽  
Alberto González-Pérez ◽  
Joaquín Huerta
Keyword(s):  
Physical World ◽  
Third Parties ◽  
Wine Production ◽  
Iot Platform ◽  
Large Numbers ◽  
Smart Farming ◽  
Comprehensive Performance ◽  
The Status ◽  
Iot Devices

Nowadays, the concept of “Everything is connected to Everything” has spread to reach increasingly diverse scenarios, due to the benefits of constantly being able to know, in real-time, the status of your factory, your city, your health or your smallholding. This wide variety of scenarios creates different challenges such as the heterogeneity of IoT devices, support for large numbers of connected devices, reliable and safe systems, energy efficiency and the possibility of using this system by third-parties in other scenarios. A transversal middleware in all IoT solutions is called an IoT platform. the IoT platform is a piece of software that works like a kind of “glue” to combine platforms and orchestrate capabilities that connect devices, users and applications/services in a “cyber-physical” world. In this way, the IoT platform can help solve the challenges listed above. This paper proposes an IoT agnostic architecture, highlighting the role of the IoT platform, within a broader ecosystem of interconnected tools, aiming at increasing scalability, stability, interoperability and reusability. For that purpose, different paradigms of computing will be used, such as microservices architecture and serverless computing. Additionally, a technological proposal of the architecture, called SEnviro Connect, is presented. This proposal is validated in the IoT scenario of smart farming, where five IoT devices (SEnviro nodes) have been deployed to improve wine production. A comprehensive performance evaluation is carried out to guarantee a scalable and stable platform.

The Changing Space of Families: A Genealogical Approach

2019 ◽  
Vol 43 (1) ◽  
pp. 1-29
Author(s):  
Alice Bee Kasakoff
Keyword(s):  
Big Data ◽  
Spatial Dispersion ◽  
Data Sets ◽  
Foreign Born ◽  
Data Set ◽  
Adult Sons ◽  
Large Numbers ◽  
The Us ◽  
Changing Patterns ◽  
Us Census

This article highlights the usefulness of family trees for visualizing and understanding changing patterns of kin dispersion over time. Such spatial patterns are important in gauging how families influence outcomes such as health and social mobility. The article describes how rapidly growing families, originally from England, dispersed over the US North and established hubs where they originally settled that lasted hundreds of years, even as they repeated the process moving West. Fathers lived much closer to their adult sons in 1850 than they do today and many more had an adult son within a radius of 30 miles. Big Data from genealogical websites is now available to map large numbers of families. Comparing one such data set with the US Census of 1880 shows that the native-born population is well represented, but there are not as many foreign born or African Americans in these data sets. Pedigrees become less and less representative the further back in time they go because they only include lines that have survived into the present. Despite these and other limitations, Big Data make it possible to study family spatial dispersion going back many generations and to map past spatial connections in a wider variety of historical contexts and at a scale never before possible.

Healthcare big data processing mechanisms: The role of cloud computing

2019 ◽  
Vol 49 ◽  
pp. 271-289 ◽  
Author(s):  
Lila Rajabion ◽  
Abdusalam Abdulla Shaltooki ◽  
Masoud Taghikhah ◽  
Amirhossein Ghasemi ◽  
Arshad Badfar
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Big Data Processing ◽  
Processing Mechanisms
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