Abstract
Load Balancing is an important factor handling resource during running and execution time in real time applications. Virtual machines are used for dynamically access and share the resources. As per current scenario cloud computing is played major for storage, resource accessing, resource pooling and internet based service offering. Usage of cloud computing services is dynamically increased such as online shopping, education, ticketing, etc. Many users can use the cloud resources and load balancing is used for adjusting the virtual machine and balance the node. Our proposed virtualized genetic algorithms are to provide balanced virtual machine services in Hybrid cloud. The proposed algorithm and experiments are implemented by using Cloud simulator. In this paper the experiments are done with cloud computing models, Virtual Machine allocation, load balancing and simulations. Also compare the results using response time, throughput and turnaround time using cloud sim. The accuracy can be compared with existing load balancing techniques.
Highlights
Cloud computing is a delivery service model based on requirements such as infrastructure, platform and software as services
As per current scenario cloud computing is played major for storage, resource accessing, resource pooling and internet based service offering
Many users can use the cloud resources and load balancing is used for adjusting the virtual machine and balance the node
Summary
Cloud computing is a delivery service model based on requirements such as infrastructure, platform and software as services. Cloud is a internet storage model and provide plenty of services. Cloud service provider enables the service offering, service level agreement and load balancing. At the same time multiple users can access the cloud means need to balance the service [2]. The major features are virtualization, on demand service, pay for use, geographic access model, access privileges and service level agreements. It is internet based technology, provides dynamic reliable and efficient services [3]. In this paper virtualized genetic algorithm is proposed for handling dynamic resource allocation and responses.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
