The reason of grid monitoring and management is to detect offerings in grid surroundings for fault detection, performance evaluation, performance tuning, load balancing and scheduling. We have reviewed and worked on a self-managing fault-tolerance framework for high availability, scalability and reliability in cloud data center with proper monitoring tool which is deployed for Cluster monitoring and balancing purpose. This framework introduces the load balancers combined with Ganglia Monitoring System. The proposed framework is designed to overcome the issues regarding the high availability, fault tolerance, major downtime, self-healing, etc in cloud data center. HAProxy has been used to offer scaling to the servers for load balancing in proactive way. It additionally monitors the web servers for fault prevention on the client level. Our structure works with self-managed mirroring and load balancing in database servers with the help of MySQL master, replication of master database and Nginx consequently. Administrator supervise the running of servers through Ganglia Monitoring System because 24x7 manual monitoring cannot be possibly done by the cloud data center. For that we have carried out this scenario by using the virtualization technique in cloud environment.
Title = "An Autonomous Approach for High Availability and Fault Tolerance using Effective Monitoring in Cloud Data Center",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "7",
Pages ="35 - 108",
Year = "2018",
Authors ="Riddhi Trivedi , Miren Karamta, Hardik Upadhyay , Dr. M. B. Potdar"}
The paper proposed the basic fundamentals of Ganglia Monitoring System
A comparison of basic monitoring system like Nagios and Ganglia Monitoring system
High Availability server with Ganglia Monitoring system implemented
How Load Balancers work with Ganglia Monitoring System.