Comprehensive study about different scheduling techniques for parallel applications in cloud computing

2018 ◽  
Vol 6 (3) ◽  
pp. 420-426
Author(s):  
S. Rana ◽  
◽  
A. Kumar ◽  
Keyword(s):  
Cloud Computing ◽  
Parallel Applications ◽  
Comprehensive Study

scholarly journals A Comprehensive Study of Security in Cloud Computing

2018 ◽  
Vol 6 (12) ◽  
pp. 394-398
Author(s):  
Manjot Kaur Bhatia ◽  
Akash Bhardwaj ◽  
Diksha Singla
Keyword(s):  
Cloud Computing ◽  
Comprehensive Study

scholarly journals A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 130500-130526
Author(s):  
Muhammad Asim Shahid ◽  
Noman Islam ◽  
Muhammad Mansoor Alam ◽  
Mazliham Mohd Su'ud ◽  
Shahrulniza Musa
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Tolerance Approach ◽  
Comprehensive Study

scholarly journals Cloud Computing for Rigorous Coupled-Wave Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
N. L. Kazanskiy ◽  
P. G. Serafimovich
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Parallel Applications ◽  
Data Sets ◽  
Wave Analysis ◽  
Data Intensive ◽  
Rigorous Coupled Wave Analysis ◽  
Rigorous Coupled Wave ◽  
Effective Use ◽  
Coupled Wave

Design and analysis of complex nanophotonic and nanoelectronic structures require significant computing resources. Cloud computing infrastructure allows distributed parallel applications to achieve greater scalability and fault tolerance. The problems of effective use of high-performance computing systems for modeling and simulation of subwavelength diffraction gratings are considered. Rigorous coupled-wave analysis (RCWA) is adapted to cloud computing environment. In order to accomplish this, data flow of the RCWA is analyzed and CPU-intensive operations are converted to data-intensive operations. The generated data sets are structured in accordance with the requirements of MapReduce technology.

scholarly journals Distributionin of Data Handling in Cloud Asset

2020 ◽  
Vol 9 (3) ◽  
pp. 2704-2710
Keyword(s):  
Cloud Computing ◽  
Service Quality ◽  
Task Scheduling ◽  
Parallel Applications ◽  
Data Handling ◽  
Virtual Computing ◽  
Data Flows ◽  
Excellent Service ◽  
Execution Model ◽  
Model Preference

In Cloud computing, task scheduling is one of the technique of specifying and assigning job to assets that finish the job. It may be virtual computing elements like threads & processors or data flows, which is planned on hardware resources like processors. The planning operation is performed by a scheduler. Schedulers are enabled various customers to properly communicate system funds or attain excellent service quality. Scheduling is essential for computing and the notion of planning allows multitasking computers with single CPU as inner portion of a computer system's execution model. Preference will be provided based on the requirements and goals of the user. Multiple computing parts comprise of many parallel applications while duties of execution are relied on other duties. We have studied few related articles in this paper, which is presented in the following section.

scholarly journals SLA in Cloud Computing Architectures: A Comprehensive Study

2015 ◽  
Vol 8 (5) ◽  
pp. 7-32 ◽  
Author(s):  
Eman Aljoumah ◽  
Fajer Al-Mousawi ◽  
Imtiaz Ahmad ◽  
Maha Al-Shammri ◽  
Zahraa Al-Jady
Keyword(s):  
Cloud Computing ◽  
Comprehensive Study
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