scholarly journals Role of Emerging IoT Big Data and Cloud Computing for Real Time Application

2020 ◽  
Vol 11 (4) ◽  
Author(s):  
Mamoona Humayun
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Real Time ◽  
Real Time Application

Blockchain Technology Is a Boost to Cyber Security

2019 ◽  
pp. 254-266 ◽  
Author(s):  
Sowmiya B. ◽  
Poovammal E.
Keyword(s):  
Real Time ◽  
Cyber Security ◽  
Real Sector ◽  
Blockchain Technology ◽  
The World ◽  
Security Challenge ◽  
Real Time Application ◽  
Share Information

The information in any real-time application is needed to be digitalized across the world. Since digitalization of data happens, there comes the role of privacy. Blockchain could address the security challenge that happens in the any real sector. There are a few more challenges that prevail in the industry such as integrity in data, traceability of stored records, and interoperability among organizations that share information. This chapter says what blockchain is and applications in which blockchain technology could solve the existing challenges where they lack security, privacy, integrity, and interoperability.

Trends and Technologies in Big Data Processing

2020 ◽  
pp. 17-42
Author(s):  
Amitava Choudhury ◽  
Kalpana Rangra
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Processing ◽  
Real Time ◽  
Computing Technology ◽  
Time Data ◽  
Big Data Processing ◽  
Real Time Data ◽  
Real Time Data Processing

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

scholarly journals Application of Big Data Fusion Based on Cloud Storage in Green Transportation: An Application of Healthcare

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Li Qin Hu ◽  
Amit Yadav ◽  
Asif Khan ◽  
Hong Liu ◽  
Amin Ul Haq
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Fusion ◽  
Real Time ◽  
Strong Support ◽  
Heterogeneous Data ◽  
Continuous Growth ◽  
New Energy ◽  
The Government ◽  
Vehicle Network

In the 21st century, transportation brought great convenience to people, but at the same time, automobile transportation is the major factor causing greenhouse gas emissions and climate change. Movements of the world towards green environments, there is hike in use and production of electric vehicles (energy vehicles). However, with the continuous growth in the number of energy vehicles, it is necessary for the government to provide strong support in the construction of charging piles. Real-time and effective management has become a practical problem for the relevant departments which needs to be solved. This paper uses the information research method to fuse the huge amount of heterogeneous data generated by the charging pile resultant to the new energy electric vehicle in the vehicle network and introduces cloud computing as its storage module to facilitate the storage and related expansion of the big data. This paper proposes a system scheme of heterogeneous data fusion based on cloud computing for the acquisition, storage, and fusion of heterogeneous data in the vehicle network. After testing the results, it shows that the system is stable and effective in practical application, which can meet the design requirements of the system. What is the significance of analyzing big data of charging point? Considering from the supply side, obtaining the user’s charging behaviour data is helpful to build a digital map of the charging pile of new energy vehicles, connect the service information between the vehicle enterprises and the charging pile enterprises, and provide the most comprehensive and effective real-time charging information covering the widest range of vehicles, which can solve many problems of information asymmetry in the current charging information service.

scholarly journals Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tran Anh Khoa ◽  
Le Mai Bao Nhu ◽  
Hoang Hai Son ◽  
Nguyen Minh Trong ◽  
Cao Hoang Phuc ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information Security ◽  
Internet Of Things ◽  
Real Time ◽  
Mobile Networks ◽  
Smart Home ◽  
Smart Cities ◽  
Smart Homes ◽  
Authentication Mechanism

Smart homes are an element of developing smart cities. In recent years, countries around the world have spared no effort in promoting smart cities. Smart homes are an interesting technological advancement that can make people’s lives much more convenient. The development of smart homes involves multiple technological aspects, which include big data, mobile networks, cloud computing, Internet of Things, and even artificial intelligence. Digital information is the main component of signal control and flow in a smart home, while information security is another important aspect. In the event of equipment failure, the task of safeguarding the system’s information is of the utmost importance. Since smart homes are automatically controlled, the problem of mobile network security must be taken seriously. To address these issues, this paper focuses on information security, big data, mobile networks, cloud computing, and the Internet of Things. Security efficiency can be enhanced by using a Secure Hash Algorithm 256 (SHA-256), which is an authentication mechanism that, with the help of the user, can authenticate each interaction of a given device with a WebServer by using an encrypted username, password, and token. This framework could be used for an automated burglar alarm system, guest attendance monitoring, and light switches, all of which are easily integrated with any smart city base. In this way, IoT solutions can allow real-time monitoring and connection with central systems for automated burglar alarms. The monitoring framework is developed on the strength of the web application to obtain real-time display, storage, and warning functions for local or remote monitoring control. The monitoring system is stable and reliable when applying SHA-256.

scholarly journals Fog Computing: Issues, Challenges and Future Directions

2017 ◽  
Vol 7 (6) ◽  
pp. 3669 ◽  
Author(s):  
Prakash P ◽  
Darshaun K. G. ◽  
Yaazhlene. P ◽  
Medidhi Venkata Ganesh ◽  
Vasudha B
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Fog Computing ◽  
Low Latency ◽  
Use Case ◽  
Future Directions ◽  
Computing Power ◽  
Geographically Dispersed ◽  
Real Time Application ◽  
The Ideal

In Cloud Computing, all the processing of the data collected by the node is done in the central server. This involves a lot of time as data has to be transferred from the node to central server before the processing of data can be done in the server. Also it is not practical to stream terabytes of data from the node to the cloud and back. To overcome these disadvantages, an extension of cloud computing, known as fog computing, is introduced. In this, the processing of data is done completely in the node if the data does not require higher computing power and is done partially if the data requires high computing power, after which the data is transferred to the central server for the remaining computations. This greatly reduces the time involved in the process and is more efficient as the central server is not overloaded. Fog is quite useful in geographically dispersed areas where connectivity can be irregular. The ideal use case requires intelligence near the edge where ultra-low latency is critical, and is promised by fog computing. The concepts of cloud computing and fog computing will be explored and their features will be contrasted to understand which is more efficient and better suited for real-time application.

Blockchain Technology Is a Boost to Cyber Security

2021 ◽  
pp. 618-627
Author(s):  
Sowmiya B. ◽  
Poovammal E.
Keyword(s):  
Real Time ◽  
Cyber Security ◽  
Real Sector ◽  
Blockchain Technology ◽  
The World ◽  
Security Challenge ◽  
Real Time Application ◽  
Share Information

The information in any real-time application is needed to be digitalized across the world. Since digitalization of data happens, there comes the role of privacy. Blockchain could address the security challenge that happens in the any real sector. There are a few more challenges that prevail in the industry such as integrity in data, traceability of stored records, and interoperability among organizations that share information. This chapter says what blockchain is and applications in which blockchain technology could solve the existing challenges where they lack security, privacy, integrity, and interoperability.

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