scholarly journals Next generation cloud computing: New trends and research directions

2018 ◽  
Vol 79 ◽  
pp. 849-861 ◽  
Author(s):  
Blesson Varghese ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Next Generation ◽  
Research Directions

Econometrics Pedagogy and Cloud Computing: Training the Next Generation of Economists and Data Scientists

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Danielle V. Handel ◽  
Anson T. Y. Ho ◽  
Kim P. Huynh ◽  
David T. Jacho-Chávez ◽  
Carson H. Rea
Keyword(s):  
Cloud Computing ◽  
Data Science ◽  
Internet Access ◽  
Next Generation ◽  
Web Browser ◽  
Computer Laboratory ◽  
Economics Students ◽  
Computing Platforms

AbstractThis paper describes how cloud computing tools widely used in the instruction of data scientists can be introduced and taught to economics students as part of their curriculum. The demonstration centers around a workflow where the instructor creates a virtual server and the students only need Internet access and a web browser to complete in-class tutorials, assignments, or exams. Given how prevalent cloud computing platforms are becoming for data science, introducing these techniques into students’ econometrics training would prepare them to be more competitive when job hunting, while making instructors and administrators re-think what a computer laboratory means on campus.

Probabilistic State Estimation Based Scheduling Approach for Cloud Computing

2011 ◽  
Vol 55-57 ◽  
pp. 1053-1057
Author(s):  
Gui De Zheng ◽  
Ming Chen
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
State Estimation ◽  
Distributed Data ◽  
Scientific Instruments ◽  
Next Generation ◽  
Data Intensive ◽  
Application Model ◽  
Scientific Experiments ◽  
The World

The next generation of scientific experiments and studies are being carried out by large collaborations of researchers distributed around the world engaged in analysis of huge collections of data generated by scientific instruments. Grid computing has emerged as an enabler for such collaborations as it aids communities in sharing resource to achieve common objective. This paper defines the problem of scheduling distributed data-intensive application on to Gird resource and presents a formal resource and application model for the problem.

scholarly journals Cloud Computing – A market Perspective and Research Directions

2015 ◽  
Vol 7 (10) ◽  
pp. 42-53
Author(s):  
Amol C. Adamuthe ◽  
◽  
Vikram D. Salunkhe ◽  
Seema H. Patil ◽  
Gopakumaran T. Thampi
Keyword(s):  
Cloud Computing ◽  
Research Directions ◽  
Market Perspective

scholarly journals Cloud Computing: Environment of Next Generation Technology

2014 ◽  
Vol 16 (2) ◽  
pp. 144-148
Author(s):  
Rajan Kumar Yadav ◽  
◽  
Avinash Thakur ◽  
Manoranjan Kumar
Keyword(s):  
Cloud Computing ◽  
Next Generation ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Generation Technology

scholarly journals IoT-Fog A Communication Framework using Blockchain in the Internet of Things

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Fog Computing ◽  
Emerging Technology ◽  
Smart Devices ◽  
The Internet ◽  
Next Generation ◽  
Communication Framework ◽  
Generation Computing ◽  
The Internet Of Things

<p>The fog computing is the emerging technology to compute, store, control and connecting smart devices with each other using cloud computing. The Internet of Things (IoT) is an architecture of uniquely identified interrelated physical things, these physical things are able to communicate with each other and can transmit and receive information. <a>This research presents a framework of the combination of the Internet of Things (IoT) and Fog computing. The blockchain is also the emerging technology that provides a hyper, distributed, public, authentic ledger to record the transactions. Blockchains technology is a secured technology that can be a boon for the next generation computing. The combination of fog, blockchains, and IoT creates a new opportunity in this area. In this research, the author presents a middleware framework based on the blockchain, fog, and IoT. The framework is implemented and tested. The results are found positive. </a></p>

Designing a Forensic-Enabling Cloud Ecosystem

2015 ◽  
pp. 566-579
Author(s):  
Keyun Ruan
Keyword(s):  
Cloud Computing ◽  
Research And Development ◽  
Technological Innovation ◽  
Design Thinking ◽  
Legal Framework ◽  
Next Generation ◽  
Generation Computing ◽  
Major Transition ◽  
Computing Infrastructure

Cloud computing is a major transition, and it comes at a unique historical and strategic time for applying foundational design thinking to secure the next-generation computing infrastructure and enable waves of business and technological innovation. In this chapter, the researcher summarizes six key research and development areas for designing a forensic-enabling cloud ecosystem, including architecture and matrix, standardization and strategy, evidence segregation, security and forensic integration, legal framework, and privacy.

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