Main Article Content
Cloud Computing environment provides several on demand services for users. The recent problem and important issues in cloud computing is to optimize cloud storage over distributed data centers. The cloud storage optimization problem is considered as one of most challenging task. To overcome storage issues, the Parameter Improved Particle Swarm Optimization (PIPSO) technique is proposed. This paper presents the objective and the requirements of the distributed cloud storage issue based on the current topology. PIPSO technique manages each other between two server centers. The simulation has been done in MATLAB programming software. The results show that proposed technique achieves better results when compared with the other existing methods.
How to Cite
, B. K. M. D. S. V. B. (2018). Analysis of Cloud Storage Issues in Distributed Cloud Data Centres by Parameter Improved Particle Swarm Optimization (PIPSO) Algorithm. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(1), 303–307. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1010