<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Cloud computing is emerging as a significant new paradigm in the fields of Service-oriented computing, software engineering, etc. The paper aims to characterize the cloud environment and to study the cloud optimization problems. About 50 papers are collected from the standard journals, and it is first reviewed chronologically to find out the contributions in cloud security. After reviewing, the various challenges addressed in the cloud environment and its performance analysis is discussed. In the next section, the exploration of the meta-heuristic study of cloud optimization is done. The algorithms used in the cloud security challenges are discussed and reviewed. The algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) are exploited for the finding the cloud security problems. As the research outcome, case studies are taken and reviewed. Cloud computing is a vast field, and a lot of problems in it had to be addressed and solved.</p></abstract>

Cloud computing is emerging as a significant new paradigm in the fields of Service-oriented computing, software engineering, etc. The paper aims to characterize the cloud environment and to study the cloud optimization problems. About 50 papers are collected from the standard journals, and it is first reviewed chronologically to find out the contributions in cloud security. After reviewing, the various challenges addressed in the cloud environment and its performance analysis is discussed. In the next section, the exploration of the meta-heuristic study of cloud optimization is done. The algorithms used in the cloud security challenges are discussed and reviewed. The algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) are exploited for the finding the cloud security problems. As the research outcome, case studies are taken and reviewed. Cloud computing is a vast field, and a lot of problems in it had to be addressed and solved.

Emphasis on Cloud Optimization and Security Gaps: A Literature Review

Department of Computer Science and Engineering

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Emphasis on Cloud Optimization and Security Gaps: A Literature Review"}

Cloud computing is emerging as a significant new paradigm in the fields of Service-oriented computing, software engineering, etc. The paper aims to...

Emphasis on Cloud Optimization and Security Gaps: A Literature Review

Online veröffentlicht: 04. Okt. 2017

Seitenbereich: 165 - 185

DOI: https://doi.org/10.1515/cait-2017-0037

Schlüsselwörter
Cloud computing, optimization, metaheuristic, Cloud environment

© 2017 P. Sanyasi Naidu et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Emphasis on Cloud Optimization and Security Gaps: A Literature Review

Online veröffentlicht: 04. Okt. 2017

Seitenbereich: 165 - 185

DOI: https://doi.org/10.1515/cait-2017-0037

SchlüsselwörterCloud computing, optimization, metaheuristic, Cloud environment

© 2017 P. Sanyasi Naidu et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Cloud computing, optimization, metaheuristic, Cloud environment