scholarly journals Editorial for special section of grid computing journal on “Cloud Computing and Services Science”

2014 ◽  
Vol 18 (1) ◽  
pp. 453-455
Author(s):  
Marten J. van Sinderen ◽  
Ivan I. Ivanov
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Special Section ◽  
Services Science

Journal of Grid Computing, Special Issue of Cloud Computing and Services Science

2017 ◽  
Vol 15 (2) ◽  
pp. 139-140
Author(s):  
Donald F. Ferguson ◽  
Víctor Méndez Muñoz
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Special Issue ◽  
Services Science

Similarities and Contrast between Grid Computing and Cloud Computing

2011 ◽  
Vol 3 (3) ◽  
pp. 54-56
Author(s):  
Prof. Milan Kantilal Vachhani ◽  
◽  
Dr. Kishor H Atkotiya
Keyword(s):  
Cloud Computing ◽  
Grid Computing

A Review Paper on Cloud Computing

2018 ◽  
Vol 8 (6) ◽  
pp. 17 ◽  
Author(s):  
Priyanshu Srivastava ◽  
Rizwan Khan
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Review Paper ◽  
Computing Technology ◽  
Internet Infrastructure ◽  
Before And After ◽  
The Face

Today is the era of Cloud Computing Technology in IT Industries. Cloud computing which is based on Internet has the most powerful architecture of computation. It reckons in of a compilation of integrated and networked hardware, software and internet infrastructure. It has various avails atop grid computing and other computing. In this paper, I have given a brief of evaluation of cloud computing by reviewing more than 30 articles on cloud computing. The outcome of this review signalizes the face of the IT industries before and after the cloud computing.

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.

Introduction to special section: Cloud computing

2021 ◽  
Vol 9 (1) ◽  
pp. SAi-SAi
Author(s):  
Bradley Wallet ◽  
Konstantin Osypov ◽  
Victor Aarre ◽  
Sumit Verma ◽  
Oswaldo Davogustto ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Special Section
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