Security Architecture with Mobile Cloud in CDroid Operating System for Big Data

2015 ◽  
Author(s):  
Santanu Koley
Keyword(s):  
Operating System ◽  
Big Data ◽  
Security Architecture ◽  
Mobile Cloud

scholarly journals RESEARCH ON REMOTE OPERATING SYSTEM OF PICKING ROBOT BASED ON BIG DATA AND WIFI

2021 ◽  
pp. 447-456
Author(s):  
Beibei Sun
Keyword(s):  
Operating System ◽  
Big Data ◽  
Remote Monitoring ◽  
Agricultural Production ◽  
Recognition System ◽  
Main Mode ◽  
Agricultural Robots ◽  
Remote Monitoring System ◽  
Modern Agriculture ◽  
And Control

Agricultural mechanization has become the main mode of agricultural production and represents the development direction of modern agriculture. The amount of data generated in the agricultural production process is extremely huge, so it is necessary to introduce the concept and analysis method of big data. Combining agricultural robots with big data can improve the performance and application effect of robots. This paper combines big data, WLAN technology and robot technology to realize man-machine remote cooperation platform. This gives full play to the advantages that people are good at object recognition and robots are good at execution, and improves the fruit picking efficiency. The target fruit positioning and recognition system aided by machine vision is adopted to realize the accurate positioning of the fruit to be picked. Design of LFM control signal fitting based on big data clustering. In order to verify the feasibility of the scheme, taking the tomato picking robot as an example, the communication error and control accuracy using big data and WIFI (Wireless Fidelity) technology were tested, and the positioning and navigation efficiency with and without remote monitoring system was compared. Test results show that using big data and WIFI remote monitoring technology can effectively improve the efficiency and accuracy of positioning and navigation of remote operating system, which is of great significance for the design of automatic control system of picking robot.

scholarly journals Secure Data-Encryption Strategy for Big-Data in Mobile Cloud

2019 ◽  
Vol 9 (1S) ◽  
pp. 1-4
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Data Encryption ◽  
Mobile Cloud ◽  
Timing Constraints ◽  
Privacy And Security ◽  
Secure Data ◽  
Consistent Performance ◽  
A New Technique ◽  
High Level

Now-a-days data plays a key role in Information Technology and while coming to privacy of that data it has become a considerable issue to maintain data security at high level. Large amounts of data generated through devices are considered as a major obstacle and also tough to handle in real time scenarios. To meetwith consistent performance applications at present abandon encryptions techniquesbecausethe time for the execution and the completion of encryption techniques plays a key role during processing and transmissions of data. In this paper our moto is to secure data and proposed a new technique called Dynamic Data Encryption Strategy (DDES)which selectively encrypts data and uses some algorithms which provides a perfect encryption strategy for the data packages under some timing constraints. By this method we can achieve data privacy and security for big-data in mobile cloud-computing by using an encryption strategy respective to their requirements during execution time.

A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities

2018 ◽  
Vol 56 (2) ◽  
pp. 110-117 ◽  
Author(s):  
Asma Enayet ◽  
Md. Abdur Razzaque ◽  
Mohammad Mehedi Hassan ◽  
Atif Alamri ◽  
Giancarlo Fortino
Keyword(s):  
Resource Allocation ◽  
Big Data ◽  
Smart Cities ◽  
Mobile Cloud ◽  
Task Execution ◽  
Optimal Resource Allocation ◽  
Optimal Resource

Forecasting the Trends in Cloud Computing and its Impact on Future IT Business

2015 ◽  
pp. 2354-2372
Author(s):  
Ebin Deni Raj ◽  
L. D. Dhinesh Babu ◽  
Ezendu Ariwa ◽  
M. Nirmala ◽  
P. Venkata Krishna
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Business Processes ◽  
Big Data Analytics ◽  
Literature Survey ◽  
Mobile Cloud ◽  
Business Impact ◽  
Current Trends ◽  
To Come ◽  
Almost All

Cloud computing has become the cutting-edge technology for information technology processing and high-end computational tasks. Cloud has started playing its part in almost all business processes. Big data in cloud has become the buzzword. The business impact of cloud has deepened with the growth of big data analytics. Current trends such as green cloud computing, mobile cloud computing, and big data have created social as well as business impact. In this chapter, the authors analyze the field of cloud computing and perform an intense literature survey augmented with mathematical analysis. The forecast on the future of cloud and analysis of the current trends shows that cloud computing is a promising technology that will evolve further in years to come.

Intelligent Techniques for Analysis of Big Data About Healthcare and Medical Records

2022 ◽  
pp. 431-454
Author(s):  
Pinar Kirci
Keyword(s):  
Operating System ◽  
Big Data ◽  
Electronic Medical Records ◽  
Data Storage ◽  
Medical Records ◽  
Data Access ◽  
Efficient Solutions ◽  
Unstructured Data ◽  
Distributed File System ◽  
Healthcare Industry

To define huge datasets, the term of big data is used. The considered “4 V” datasets imply volume, variety, velocity and value for many areas especially in medical images, electronic medical records (EMR) and biometrics data. To process and manage such datasets at storage, analysis and visualization states are challenging processes. Recent improvements in communication and transmission technologies provide efficient solutions. Big data solutions should be multithreaded and data access approaches should be tailored to big amounts of semi-structured/unstructured data. Software programming frameworks with a distributed file system (DFS) that owns more units compared with the disk blocks in an operating system to multithread computing task are utilized to cope with these difficulties. Huge datasets in data storage and analysis of healthcare industry need new solutions because old fashioned and traditional analytic tools become useless.

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