Cloud Computing Application in Building Monitoring System

2013 ◽  
Vol 303-306 ◽  
pp. 2103-2106
Author(s):  
Cong Cheng
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Monitoring System ◽  
Data Storage ◽  
Signal Transmission ◽  
Overall Design ◽  
Computing Services ◽  
Huge Data ◽  
Building Monitoring ◽  
Design Idea

Popularization of the building monitoring system requires huge data storage, information management and computing services. However, the analog signal transmission cannot meet the requirements anymore, therefore cloud computing has to play its role. For this purpose, this article brings up an overall design idea and physical deployment of a cloud-based building monitoring system.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

NoSQL Databases

2014 ◽  
pp. 186-215 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Data Storage ◽  
Big Data Processing ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Data Intensive Applications

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

Discussion on Power Grid Magnetic Storm Disaster Monitoring System Based on Cloud Computing

2011 ◽  
Vol 341-342 ◽  
pp. 641-645
Author(s):  
Di Liu ◽  
Ying Wang ◽  
Lian Guang Liu
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Power Grid ◽  
Observation Data ◽  
Security Problem ◽  
Disaster Monitoring ◽  
System Data ◽  
Current Monitoring ◽  
Communication Methods

The power grid storm disaster monitoring system involves power system data，geomagnetic data, satellite data and other earth space observation data. To solve such problems as the system's large quantity of data, storage and processing difficulties, using cloud computing in the system is putting forward. The basic concepts and the services of cloud computing are introduced first. From the aspects of the front-end data collection and communication methods to the background software data processing, the GIC (geomagnetically-induced current) monitoring system is showed. Then the issues of the continuous expansion of the system are analyzed in detail. The architecture of the power grid storm disaster monitoring system based on cloud computing is given. Security problem of implementation of the system using cloud computing technology are finally discussed.

NoSQL Databases

2015 ◽  
pp. 109-152 ◽  
Author(s):  
Mainak Adhikari ◽  
Sukhendu Kar
Keyword(s):  
Cloud Computing ◽  
Social Networking ◽  
Data Storage ◽  
Social Networking Sites ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Nosql Database ◽  
Real Time Applications ◽  
Data Intensive Applications

NoSQL database provides a mechanism for storage and access of data across multiple storage clusters. NoSQL dabases are finding significant and growing industry to meet the huge data storage requirements of Big data, real time applications, and Cloud Computing. NoSQL databases have lots of advantages over the conventional RDBMS features. NoSQL systems are also referred to as “Not only SQL” to emphasize that they may in fact allow Structured language like SQL, and additionally, they allow Semi Structured as well as Unstructured language. A variety of NoSQL databases having different features to deal with exponentially growing data intensive applications are available with open source and proprietary option mostly prompted and used by social networking sites. This chapter discusses some features and challenges of NoSQL databases and some of the popular NoSQL databases with their features on the light of CAP theorem.

Study of the Security Risks and Measures in Cloud Computing

2015 ◽  
Vol 9 (1and2) ◽  
Author(s):  
Akshay Mehta ◽  
Dr. Sanjay Kumar Dubey
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Security And Privacy ◽  
It Industry ◽  
Security Risks ◽  
Resource Pooling ◽  
Computing Services ◽  
Huge Data ◽  
Cloud Computing Services ◽  
The Cost

Cloud Computing has emerged very fast in the IT industry. It is based on virtualization technology and provides internet based computing which provides resource pooling, services sharing and on demand access. Its evolution has reduced must of the cost of enterprises as well as of the other industries working with a huge data. With cloud computing emerging at a much faster rate, the situation may soon be changed. But, despite the fact that it provides a number of facilities to the service providers, it has quite a number of issues related to it. The most important issue related to cloud is its security. From the consumer’s perspective, cloud computing security concerns, especially data security and privacy protection issues, remain the primary inhibitor of cloud computing services. Security is the reason that hinders many enterprises to enter into cloud. So this paper gives a detail of the security risks related to cloud and the possible measures which the enterprises need to ensure before entering Cloud Computing.

Data Storage in the Fog Computing for Smart Environment Monitoring System (SEMS)

2019 ◽  
Vol 16 (8) ◽  
pp. 3196-3200
Author(s):  
M. Jalasri ◽  
S. Nalini ◽  
N. Magesh Kumar ◽  
J. Elumalai
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Smart Cities ◽  
Fog Computing ◽  
Mobile App ◽  
Smart Environment ◽  
Air Quality Management ◽  
Environment Monitoring ◽  
Basic Parameters

Environment monitoring system for smart cities uses diverse kind of sensors which is used to accumulate the information for managing the resources efficiently. Environment monitoring system provides services such as automation of home, weather monitoring, air quality management and prediction of pollution. This paper presents the customized design on environment monitoring the basic parameters are temperature, humidity and CO2. These sensed data need to be stored and processed. In previous system, sensed data are stored using cloud computing. In proposed system, Fog computing is used to store the sensed data from smart environment monitoring system (SEMS) and transfer the data to the mobile app from the fog device which is more efficient than cloud computing.

scholarly journals Cloud-based Non-Intrusive Load Monitoring System (NILM)

2019 ◽  
Vol 8 (6S3) ◽  
pp. 125-131
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Monitoring System ◽  
Data Storage ◽  
Smart Cities ◽  
Open Data ◽  
Cost Effective ◽  
Performance Comparison ◽  
Machine Learning Algorithms ◽  
Load Monitoring

Design and development of a cloud-based non-intrusive load monitoring System (NILM) is presented. It serves for monitoring and disaggregating the aggregated data such as smart metering into appliance-level load information by using cloud computing and machine learning algorithms implemented in cloud. The existing NILM systems are lack of scalability and limited in computing resources (computation and data storage) due to dedicated, closed and proprietary-based characteristics. They are inaccessible to variety of heterogeneity data (electrical and non-electrical data) openly for improving NILM performance. Therefore, this paper proposed a novel cloud-based NILM system to enable collection of these open data for load monitoring and other energy-related services. The collected data such as smart meter or data acquisition unit (DAQ), is pre-processed and uploaded to the cloud platform. A classifier algorithm based on Artificial Neural Network (ANN) is implemented in Azure ML Studio (AzureML), followed by the classifier testing with different combinations of feature set for the performance comparison. Furthermore, a web service is deployed for web APIs (Application Programming Interfaces) of applications such as smart grid and smart cities. The results shows that the ANN classifier for multiclass classification has improved performance with additional features of harmonics, apart from active and reactive powers used. It also demonstrates the feasibility of proposed cloud-based classifier model for load monitoring. Therefore, the proposed solution offers a convenient and cost-effective way of load monitoring via cloud computing technology for smart grid and smart home applications. Further work includes the use of other ML algorithms for classifier, performance analysis, development of cloud-based universal appliance data and use cases

Security Risks of Biomedical Data Processing in Cloud Computing Environment

2018 ◽  
pp. 177-197
Author(s):  
Babangida Zubairu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Biomedical Data ◽  
Security Measures ◽  
Security Risks ◽  
Computing Services ◽  
Technology Changes ◽  
Health Related ◽  
Cloud Computing Services ◽  
And Storage

The emergence of new innovations in technology changes the rate of data generated in health-related institutions and the way data should be handled. As such, the amount of data generated is always on the increase, which demands the need of advanced, automated management systems and storage platforms for handling large biomedical data. Cloud computing has emerged as the promising technology for present and future that can handle large amount of data and enhance processing and management of the data remotely. One of the disturbance concerns of the technology is the security of the data. Data in the cloud is subject to security threats, and this has highlighted the need for exploring security measures against the threats. The chapter provides detailed analysis of cloud computing deployment strategies and risks associated with the technology and tips for biomedical data storage and processing through cloud computing services.

Secure Data Storage in Cloud System Using Modern Cryptography

2020 ◽  
Vol 17 (4) ◽  
pp. 1590-1594
Author(s):  
V. Sathya ◽  
A. Shiny ◽  
S. Sajid Hussain ◽  
Ashutosh Gauda
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Virtual Machine ◽  
Cloud Storage ◽  
The Internet ◽  
Unauthorized Access ◽  
Asymmetric Cryptography ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Modern Cryptography

Cloud computing is the movement of enlisting computing services like organization servers, accumulating databases, arranging, programming examination over the Internet. Companies offering these computing services are known as cloud providers and typically charge for cloud computing services based on usage, similar to how you are billed for water or electricity at home. It enables the companies to consume a compute resource, such as a Virtual Machine (VM), storage or an application, as a utility—just like electricity—rather than building and maintaining large computing materials in the house. Though servers are greatly protected against unauthorized access, there are incidents where classified data stored on servers are accessed by the maintenance staffs. So, the security plays a major role in cloud storage as when the user stores the data in the cloud, it stays there and anybody accessing it cannot be known at all. Hence, this paper mainly deals with the idea of storing data securely in the cloud using Symmetric and Asymmetric Cryptography algorithms including AES, 3DES, Blowfish, RSA along with modern Steganography LSB algorithm for wireless communication which hides the key inside the cover image.

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