Regional Cooperative Strategy of Social Public Service Under the Background of Cloud Computing and Big Data Environment

2020 ◽  
pp. 291-296
Author(s):  
Jianbo Li ◽  
Xiaohua Li
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Public Service ◽  
Cooperative Strategy ◽  
Data Environment

Research on Information Technology with the Consideration of Computer Professional Education in Big Data Era

2014 ◽  
Vol 1014 ◽  
pp. 429-433
Author(s):  
Zhong Lin He ◽  
Xiao Hong Xiao ◽  
Yu Hua He
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Professional Education ◽  
Teaching Mode ◽  
Technological Revolution ◽  
Specialized Education ◽  
Data Environment ◽  
Computer Professional ◽  
It Enterprises ◽  
Dramatic Growth

Big data is another disruptive technological revolution following cloud computing and Internet of Things (IOT) in IT field. Its dramatic growth makes enterprises gradually facing unprecedented challenges in storage architecture, and brings subversive innovation for IT enterprises. This paper presents five challenges in computer professional education under big data environment in IT field, and discusses the corresponding measures of computer specialized education from different aspects, such as the adjustment of subject content, changes of talent cultivation, innovation of teaching mode, and improvement of teachers’ quality.

Computation Partitioning for Mobile Cloud Computing in a Big Data Environment

2017 ◽  
Vol 13 (4) ◽  
pp. 2009-2018 ◽  
Author(s):  
Jianqiang Li ◽  
Luxiang Huang ◽  
Yaoming Zhou ◽  
Suiqiang He ◽  
Zhong Ming
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Environment

Enterprise financial management information system based on cloud computing in big data environment

2020 ◽  
Vol 39 (4) ◽  
pp. 5223-5232
Author(s):  
Xuanjun Chen ◽  
N Metawa
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Big Data ◽  
Management Information System ◽  
Financial Management ◽  
Shared Services ◽  
Computing Technology ◽  
Management Information ◽  
Management Concept ◽  
Data Environment

Cloud computing technology has the characteristics of low investment costs, strong reliability, flexible expansion, and on-demand services, which can greatly reduce the application threshold of enterprise financial informatization construction, improve the return on investment of informationization, and flexibly adapt to the needs of different stages of business. To solve the problem of enterprise financial management information system based on cloud computing in big data environment. This article proposes the management concept of “business-driven value” as an expense management system. Through the investigation of the company in this article, after 9 years of construction, the number of property in each subsidiary has dropped from an average of 23 people per company to 3.5 people per subsidiary before. Reduced by about 84.7%. Contracted human capital for the company. Compared with the 23 billion yuan in 2010, after the implementation of financial shared services, after 9 years of development, it has now reached 68.55 billion yuan, nearly three times more than before.

scholarly journals Efficient Scheduling Mechanisms for Secured Cloud Data Environment

2019 ◽  
Vol 8 (2S11) ◽  
pp. 1019-1023
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Elliptic Curve Cryptography ◽  
Data Loss ◽  
Cloud Data ◽  
Scheduling Mechanisms ◽  
Data Environment ◽  
Hyper Elliptic Curve ◽  
Significant Data

Big Data has won heaps of intrigue in light of the tremendous degree it presents for a higher comprehension of the business and decision making strategy for an enterprise. There has been a broad scope of looks into happening far and wide on this to make the most out of it and entirely some of specialized stages are to be need to the analysis for enormous records . However, Scientists and organizations had the option to expand frameworks that could deal with the enormous measurements and perform investigation on it, the security segments remain immensely immaculate. And misfortune can be a reason for significant data loss while applying hybrid security. As if information changes, then it is not valuable. So here is a need to adopt proper scheduling mechanism in cloud computing to avoid process delay. This paper expounds some encryption strategies and proper scheduling mechanisms. Hyper elliptic curve cryptography (HECC) towards verified enormous record analyses is embraced here to describe with proper scheduling

scholarly journals Review

2018 ◽  
Vol 7 (4.35) ◽  
pp. 866
Author(s):  
Gopinath Muruti ◽  
Siti Hawa Mokhtar ◽  
Fiza Abdul Rahim ◽  
Zul-Azri Ibrahim ◽  
Abbas M. Al-Ghaili
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Law Enforcement ◽  
Internet Of Things ◽  
Digital Forensics ◽  
The Internet ◽  
Complex Data ◽  
Data Environment

Forensics is a vital point for law enforcement, civil litigators, and different experts who manage complex advanced examinations. Digital forensics has assumed a noteworthy part in a portion of the biggest criminal and civil investigations. However, the ascent in the prevalence of big data as a better approach for unraveling the challenges exhibited by huge, complex data due to the progression of innovations such as the Internet, Internet of Things (IoT), and Cloud Computing. These challenges have contributed to data deluge and forensics tool limitations in the digital forensics investigation. In this paper, a number of challenges faced by the digital forensics investigator in a big data environment are discussed. The identified challenges could significantly contribute to a more efficient digital forensics process in the big data environment. 

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.

Big Data Environment and Humanities Platform

2017 ◽  
Vol 39 (5) ◽  
pp. 177-202
Author(s):  
Hyun-Cheol Choi
Keyword(s):  
Big Data ◽  
Data Environment
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