scholarly journals Research on New and Old Kinetic Energy Conversion Dynamic Factors Based on Cloud Computing-Big Data Service Enterprises

2020 ◽  
Vol 750 ◽  
pp. 012190
Author(s):  
Xize Geng
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Kinetic Energy ◽  
Energy Conversion ◽  
Data Service ◽  
Dynamic Factors

IoT Based Agriculture as a Cloud and Big Data Service

2017 ◽  
Vol 29 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Sukhpal Singh Gill ◽  
Inderveer Chana ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Data Service ◽  
Big Data Technologies ◽  
Sensor Networking ◽  
New Applications

Cloud computing has transpired as a new model for managing and delivering applications as services efficiently. Convergence of cloud computing with technologies such as wireless sensor networking, Internet of Things (IoT) and Big Data analytics offers new applications' of cloud services. This paper proposes a cloud-based autonomic information system for delivering Agriculture-as-a-Service (AaaS) through the use of cloud and big data technologies. The proposed system gathers information from various users through preconfigured devices and IoT sensors and processes it in cloud using big data analytics and provides the required information to users automatically. The performance of the proposed system has been evaluated in Cloud environment and experimental results show that the proposed system offers better service and the Quality of Service (QoS) is also better in terms of QoS parameters.

Study on CDIO Talents Training System Based on the Internet of Things and Cloud Computing in Big Data Era

2014 ◽  
Vol 989-994 ◽  
pp. 4949-4952
Author(s):  
Hui Yan ◽  
Hai Yan Hu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Resource Scheduling ◽  
Training System ◽  
The Internet ◽  
Data Service ◽  
Distributed Architecture ◽  
Advanced Technologies ◽  
The Internet Of Things

Since CDIO talents training informatization system is employed in Big Data era, this paper shows some studies on the application of the internet of things , cloud computing, Big Data service and other advanced technologies in CDIO talents training informatization system, an informatization framework for the internet of things and cloud computing is constructed based on CDIO talents training, in order to solve the difficulties in managing and monitoring the fully distributed architecture, a distributed resource scheduling mechanism with QoS is proposed.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

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