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Dynamic Resource Allocation using Docker over Cloud for Distributed Computing


Patil Pankaj Shantaram , R. C. P. I. T. SHIRPUR; Prof. R. B. Wagh, R. C. P. I. T. SHIRPUR


Wide Area Network (WAN), Big Data, Docker, Cloud Computing


Recently, by rapidly development of internet cloud computing is become a new computing model, which also moved computing and data away from desktop and portable PCs into large data centers. It is been observed that cloud computing has many challenges such as poor resource utilization which affects the performance of cloud computing due to the huge amounts of information. Therefore to improve the performance of cloud computing load balancing algorithms are used. By using load balancing algorithms high availability, flexibility, cost reduced and on demand scalability factors are achieved in cloud computing. In such way cloud computing is becoming a modern style of computing globally which is using the power of Internet and wide area network (WAN) to offer resources remotely. Still in the system performance there is some inefficiency and load is imbalance. There are several amount of load balancing and job scheduling algorithms in cloud computing, in this research to improve the performance and efficiency in heterogeneous cloud computing environment a dynamic resource allocation is used over cloud for distributed computing. Also a container algorithm is introduced in this research based on randomization and fuzzy inference algorithm. By considering runtime CPU capacity factor and current resource information several objectives were achieved, such as processing time and average response time of the environment, which further results in improvement in performance of cloud computing environment. In such way heterogeneous environment of cloud computing is providing rapidly and on-demand wild range of service to end users.

Other Details

Paper ID: IJSRDV7I90241
Published in: Volume : 7, Issue : 9
Publication Date: 01/12/2019
Page(s): 236-242

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