The Application of Big Geospatial Data in Smart Agriculture

2014 ◽  
Vol 955-959 ◽  
pp. 3835-3839
Author(s):  
Jiu Yan Ye ◽  
Bin Chen ◽  
Zun Lin Ke ◽  
Jian Chen ◽  
Yu Fang
Keyword(s):  
Cloud Computing ◽  
Development Trend ◽  
Geospatial Data ◽  
Research Progress ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Agriculture Industry ◽  
Key Technologies ◽  
Fast Development ◽  
Smart Agriculture

With the fast development of data acquisition and web transmission, the age of big geospatial data(BGD) has come. BGD will greatly change peoples’ life-style of and our society’s work mode. In agriculture field, there will also be a lot of changes brought by BGD in future. In this paper, we had a study on the processing of BGD and its application in agriculture. Firstly, we introduced BGD including its definition, value and application areas. Secondly, we summarized the research progress and key technologies of BGD processing in the cloud computing environment. Lastly, we talked about the application of BGD in agriculture industry and looked forward to its development trend.

scholarly journals A Secured Framework for E-Commerce in Cloud Computing Environment : A Literature Review

2021 ◽  
pp. 130-137
Author(s):  
Hadeel Mushtaq Shakir ◽  
Dr. Syed Zeeshan Hussain
Keyword(s):  
Cloud Computing ◽  
Electronic Commerce ◽  
Data Storage ◽  
Strong Support ◽  
Development Trend ◽  
Application Framework ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Digital World ◽  
High Level

Our understanding of the importance of cloud computing-based electronic commerce in the digital world involves researching and looking for the most important issues faced by electronic commerce and security threats, and user information protection, and as a result, an e-commerce application framework can be proposed which may be based on the concepts, the origins, and development trend of cloud computing which copes with the problem of e-commerce and the storage of resources. As it is on record that cloud computing is widely known for its robust and strong support for data storage and mining. It also offers a most reliable platform for safe, secure, and speedy data transactions at a very manageable cost and a high level of privacy. Therefore, this paper has examined, analyzed, and discussed the current state of e-commerce and also, we provide much literature that has researched the security problems e-commerce faces in a cloud computing environment and some of them suggested some e-commerce security solutions.

Ubiquitous Library Service System Architecture Research Based on Cloud Computing

2014 ◽  
Vol 1061-1062 ◽  
pp. 1104-1107
Author(s):  
Hua Hai
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Service System ◽  
Development Trend ◽  
Main Function ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Service Application ◽  
The Development Trend ◽  
Ubiquitous Network

As the development trend of future library, with powerful architecture and technical support provided by cloud computing, ubiquity has become an integrated data storage centre where can obtain resources anytime and anywhere. This paper discusses the constructive contents of ubiquitous library under cloud computing environment and designs the service system frame of ubiquitous library based on cloud computing form four levers: ubiquitous computing and resource pool, ubiquitous network, ubiquitous service application, ubiquitous terminal and perceptual extension. Meanwhile, it also detailed introduces the main function of each level.

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.

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