Abstract
Cloud computing is distributed computing, storing, sharing and accessing data over the Internet. It provides a pool of shared resources to the users available on the basis of pay as you go service that means users pay only for those services which are used by him according to their access times. Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. We propose an improved load balancing algorithm for job scheduling in the cloud environment using K-Means clustering of cloudlets and virtual machines in the cloud environment. All the cloudlets given by the user are divided into 3 clusters depending upon client’s priority, cost and instruction length of the cloudlet. The virtual machines inside the datacenter hosts are also grouped into multiple clusters depending upon virtual machine capacity in terms of processor, memory, and bandwidth. Sorting is applied at both the ends to reduce the latency. Multiple number of experiments have been conducted by taking different configurations of cloudlets and virtual machine. Various parameters like waiting time, execution time, turnaround time and the usage cost have been computed inside the cloudsim environment to demonstrate the results. Compared with the other job scheduling algorithms, the improved load balancing algorithm can outperform them according to the experimental results.Â
Highlights
Cloud computing is a combination of many computing fields and has gained much popularity in the recent years
The performance of improved load equalization algorithmic program has been studied in this research work
The results indicate that the approaches surpass to previous algorithmic program in terms of execution time, waiting time and turnaround time
Summary
Cloud computing is a combination of many computing fields and has gained much popularity in the recent years. Storage, services, and applications over the Internet. Cloud computing facilitates to reduce capital cost, decouple services from the underlying technology, and provides flexibility in terms of resource provisioning. Cloud computing has become very beneficial for business services, applications and other types of consumer requirements. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing has claimed to jump the enterprise business to a brand-new level and permits them to cut back all the prices through improved production, reduced administration and infrastructure, architecture price and quicker preparation cycles
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