Tri-Angular Monitoring Approach for Real Time Container Migration

Container is the modern age distributed applications packaging toolkit over the cloud environment [1]. It features the management of applications with easy plug and play ability, migration, replication, relocation, upgrading et cetera in the real time. Such containers running different applications over the cloud infrastructure may consume different resources that require real time monitoring. Monitoring of the applications over the distributed cloud environment is important for the better service delivery [2]. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package to the multiple cloud. This gives a significant improvement in performance and size of the applications [3]. For efficient management of containerized applications in the distributed cloud environment, we have conceptualized to develop JAVA based docker host monitoring with Container Migration Monitoring (CoMMon), a tri-angular monitoring approach in the IPv6 network. Docker is open source platform independent tool to create, deploy, and run applications by using containers. The monitoring probe collects different monitoring metrics and sends to remote surveillance system in the JSON format. The term tri-angular is proposed in this paper with the concept that the source machine sends the metric information to the monitoring station before and after the migration of containers while destination node sends the status of migrated container to the same monitoring station after the container is received and verify the message from source and destination by unique container identification number (ID).