Enhanced active VM load balancing algorithm using fuzzy logic and K-means clustering

Abstract

With the rapid development of data and IT technology, cloud computing is gaining more and more attention, and many users are attracted to this paradigm because of the reduction in cost and the dynamic allocation of resources. Load balancing is one of the main challenges in cloud computing system. It redistributes workloads across computing nodes within cloud to minimize computation time, and to improve the use of resources. This paper proposes an enhanced ‘Active VM load balancing algorithm’ based on fuzzy logic and k-means clustering to reduce the data center transfer cost, the total virtual machine cost, the data center processing time and the response time. The proposed method is realized using Java and CloudAnalyst Simulator. Besides, we have compared the proposed algorithm with other task scheduling approaches such as Round Robin algorithm, Throttled algorithm, Equally Spread Current Execution Load algorithm, Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). As a result, the proposed algorithm performs better in terms of service rate and response time.

HBAC Algorithm for Enhancement of Makespan and improved Task allocation for VM in cloud datacenter

“…Due to this process it improves the efficiency and reduces time consumption [13].For improvement of VM performance different researcher like [14][15][16][17][18] present different technique which is as:…”

“…In [16], the author proposed clustering approach where the approach divided the similar capacity of the VM into K-means group which means under loaded VM and overloaded VM and load balancer section contain information about this group. When the data enters into the waiting queue, load balancer section distributes the task according to the group information among the VM's.…”

Design and Implementation of a Medical TeleMonitoring System based on IoT

“…With the rapid development of data and IT technology, healthcare monitoring systems are becoming of great concern [1,2]. The modern human lifestyle among others, leads to many heart disorders such as arrhythmia, coronary occlusion, cardiac arrest, and heart inflammation.…”