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

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.

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THE LANDSCAPE OF INCONSISTENCY: A PERSPECTIVE

International Journal of Semantic Computing ◽

10.1142/s1793351x11001237 ◽

2011 ◽

Vol 05 (03) ◽

pp. 235-256 ◽

Cited By ~ 16

Author(s):

DU ZHANG ◽

ÉRIC GRÉGOIRE

Keyword(s):

Cloud Computing ◽

Social Computing ◽

Special Issue ◽

Computing Systems ◽

Semantic Computing

The focus of this introduction to this special issue is to draw a picture as comprehensive as possible about various dimensions of inconsistency. In particular, we consider: (1) levels of knowledge at which inconsistency occurs; (2) categories and morphologies of inconsistency; (3) causes of inconsistency; (4) circumstances of inconsistency; (5) persistency of inconsistency; (6) consequences of inconsistency; (7) metrics for inconsistency; (8) theories for handling inconsistency; (9) dependencies among occurrences of inconsistency; and (10) problem domains where inconsistency has been studied. The take-home message is that inconsistency is ubiquitous and handling inconsistency is consequential in our endeavors. How to manage and reason in the presence of inconsistency presents a very important issue in semantic computing, cloud computing, social computing, and many other data-rich or knowledge-rich computing systems.

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Editorial of special issue on security and privacy in cloud computing

Journal of Information Security and Applications ◽

10.1016/j.jisa.2016.04.003 ◽

2016 ◽

Vol 27-28 ◽

pp. 1-2 ◽

Cited By ~ 2

Author(s):

Feng Hao ◽

Xun Yi ◽

Elisa Bertino

Keyword(s):

Cloud Computing ◽

Security And Privacy ◽

Special Issue

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Special Issue: Middleware for Grid Computing

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.964 ◽

2006 ◽

Vol 18 (6) ◽

pp. 549-552 ◽

Cited By ~ 5

Author(s):

Bruno Schulze ◽

Radha Nandkumar

Keyword(s):

Grid Computing ◽

Special Issue

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Probabilistic State Estimation Based Scheduling Approach for Cloud Computing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.55-57.1053 ◽

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.

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