Analysis of simulation tools in cloud computing

2016 ◽  
Author(s):  
Ashalatha R. ◽  
Jayashree Agarkhed ◽  
Siddarama Patil
Keyword(s):  
Cloud Computing ◽  
Simulation Tools

Cloud computing services, models and simulation tools

2021 ◽  
Vol 10 (5/6) ◽  
pp. 533
Author(s):  
Moulhime El Bekkali ◽  
Benaissa Bernoussi ◽  
Mohammed Fattah ◽  
Said Mazer ◽  
Younes Balboul ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Simulation Tools ◽  
Computing Services ◽  
Cloud Computing Services

scholarly journals Experimental comparison of simulation tools for efficient cloud and mobile cloud computing applications

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Khadijah Bahwaireth ◽  
Lo’ai Tawalbeh ◽  
Elhadj Benkhelifa ◽  
Yaser Jararweh ◽  
Mohammad A. Tawalbeh
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Experimental Comparison ◽  
Mobile Cloud ◽  
Simulation Tools

scholarly journals Robotics and Automation

2021 ◽  
Vol 9 (VII) ◽  
pp. 2852-2856
Author(s):  
Sahil Kamleshwar
Keyword(s):  
Cloud Computing ◽  
Open Source Software ◽  
Tracking Control ◽  
Data Access ◽  
Movement Planning ◽  
Data Sets ◽  
Flexible Systems ◽  
Cloud Infrastructure ◽  
Descriptive Data ◽  
Simulation Tools

Cloud infrastructure and its extensive set of Internet-enabled resources have the potential to provide significant benefits to robots and flexible systems. We look for robots and data-switching programs or code from the network to support their performance, that is, when not all sense, calculation, and memory are integrated into the standalone system. This survey is designed for four possible Cloud benefits: 1) Big Data: access to photo libraries, maps, trajectories, and descriptive data; 2) Cloud Computing: access to the same grid computer with the demand for mathematical analysis, reading, and movement planning; 3) Integrated Robots Learning: robots that share tracking, control policies, and results; and 4) Census: use of crowdourcing to tap people's skills for image and video analysis, classification, reading, and error retrieval. The cloud can also improve robots and flexible systems by providing access to: a) data sets, publications, models, measurements, and simulation tools; b) open competitions for designs and programs; and c) open source software.

Simulation Tools for Cloud Computing

2014 ◽  
pp. 311-336 ◽  
Author(s):  
Bernardi Pranggono ◽  
Dabiah Alboaneen ◽  
Huaglory Tianfield
Keyword(s):  
Cloud Computing ◽  
Simulation Tools

scholarly journals Comparative Study On Cloud Computing Simulation Platforms

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Cloud Computing ◽  
Simulation Tool ◽  
Financial Cost ◽  
Application Performance ◽  
Simulation Tools ◽  
Cost Benefits ◽  
Cloud Environments ◽  
Time Required ◽  
Cloud Applications ◽  
Computing Simulation

Experimentation in a real environment is quite problem due to the high financial cost and the time required to accomplish it. Above all that, the tests are not repeatable, because many variables cannot be controlled with in the test, which may affect the results. Therefore, using simulation frameworks to evaluate cloud applications is preferred. It is extremely difficult to use real infrastructures for benchmarking the application performance (throughput, cost benefits) under inconstant conditions. Therefore, we cannot execute benchmarking experiments using real-world Cloud environments. To overcome this challenge, the use of simulation tool is the best applicable choice to the developers with substantial resources and parallelized execution. These simulation tools offer the researchers the chance to evaluate the hypothesis in a measured environment and simply emulate the output results. This paper have reviewed and classified the most updates and extends simulation platforms in cloud computing and gave examples on each.

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