Secure Resource Aware Load Balancing through VM Migration in Cloud Data Center
Riddhi Trivedi, Miren Karamta, Hardik Upadhyay, Madhukar B. Potdar · International journal of advance research and innovative ideas in education · 2018
Improvement in cloud networking, cloud infrastructure and processing data demands for flexibility of resource management. For maintaining the high availability of cloud data center, fault tolerance systems should be the main requirements which include the effective load balancing and migration of applications by not interrupting any other services running. The limitation of the available Virtual Machine Load balancing policies for the cloud is to gain resource utilization ratio by safeguarding an efficient and upright allocation of computer resources. VM Migration allows virtual machines to be migrated from one host machine to another host machine without interfering with software or processes running on those virtual machines. During this VM migration process, the data which is migrated over network becomes vulnerable and confidentiality of user can be breached. Therefore, it is required to develop an efficient solution to migrate data securely over the cloud. The proposed framework is capable to balance the load with the help of round-robin algorithm using it by HAProxy load balancer and securely migrating the application requests if any of the load balancer server is overloaded or would not be able to take requests from the clients. The proposed model also has Ganglia Monitoring implemented which can intelligently monitor all the tasks which are performed by all the servers located in the same cluster and shows it at the main server where the gmetad services is implemented and it shows all the data which are collected from the nodes located in the cluster. The target of achieving fault-tolerance cluster and highly available cluster is being fulfilled by this proposed framework.