Resourceful System-level Optimized Placement of Virtual Machines for Cloud Computing
Neha Tyagi, Ajay Rana, Vineet Kansal · 2018
In this study, we endorse a load balancing set of rules to enhance the overall performance and efficiency in heterogeneous cloud computing environment. We advocate a fusion set of rules based on priority and batch rules; it takes advantages of weighted optimization algorithm and equally spread current execution algorithms. The algorithm considers the current resource records and the Central Processing Unit capability issue to acquire the targets. The fused algorithm has been evaluated and as compared with different algorithms using Cloud Analyst simulator. The results showed improvements in migration time, response time and scalability, availability & reliability of resources with energy-consumption and throughput via considering the modern-day aid records and the Central Processing Unit potential factor in comparison with different algorithms, and this indicates the overall performance has progressed.