Different containers support multiple applications on multiple disciplines according to technological needs. They improve the need of multitasking activities and are used to support and combine work with different paradigms, technologies, disciplines and application orientations. It increases the user requirements and the system requirements. It might be extended based on the needs of specifications. Like this idea support from to the container which specifies the application onto it, and performs the self-organizing things for an enhancement. In this paper, container technology is proposed for Internet of Things (IoT) and Fog of Things (FoT) enabled devices for plethora FoT servers to serve SOFT for each application through the gateways to available devices. The fog is not only for the data processing and storage management. It can also keep with the IoT services by through the FoT server in distributed manner. The main aim of this paper is to examine the ability to scale an IoT system using multiple container technologies with clusters managements. With the use of this approach, the number of connected devices can be increased and network efficiency is improved for better computation, control and data storage. Keywords Internet of things • Fog of things • Self-organizing fog of things (SOFT) • Application orientation and containerbased edge management (CEM)

Container technology is the latest lightweight virtualization technology which is an alternate solution for virtual machines. Docker is the most popular container technology for creating and managing Linux containers. Containers appear to be the most suitable medium for use in dynamic development, packaging, shipping and many other information technology environments. The portability of the software through the movement of containers is appreciated by businesses and IT professionals. In the docker container, one or more processes may run simultaneously. The main objective of this work is to propose a new algorithm called Ant Colony Optimization-based Light Weight Container (ACO-LWC) load balancing scheduling algorithm for scheduling various process requests. This algorithm is designed such that it shows best performance in terms of load balancing. The proposed algorithm is validated by comparison with two existing load balancing scheduling algorithms namely, least connection algorithm and round robin algorithm. The proposed algorithm is validated using metrics like response time (ms), mean square error (MSE), node load, largest Transactions Per Second (TPS) of cluster (fetches/sec), average response time for each request (ms) and run time (s). Quantitative analysis show that the proposed ACO-LWC scheme achieves best performance in terms of all the metrics compared to the existing algorithms. In particular, the response time for least connection, round robin and the proposed ACO-LWC algorithm are 58, 60 and 48 ms respectively when 95% requests are finished. Similarly, the error for scheduling 120 requests using least connection, round robin and the proposed ACO-LWC algorithm are 0.15, 0.11 and 0.06 respectively.

Container technology is highly significant in Information and Communication Technology (ICT) systems. To maximize container effectiveness, scaling plays a significant part. Therefore, in the fog computing framework, containers are an ideal solution for hosting and scaling services. Fog networks help to increase the number of connected devices by connecting to external gateways through the Fog of Things (FoT). It is a new approach to designing and implementing fog computing systems for the IoT. The research article aims on a novel Container with a Fog-based Scalable Self-organizing Network (CFSSN) framework and use a Self-Organizing Network based Light Weight Container (SON-LWC) algorithm for moving container services for scaling expansion. This work focuses on how to transfer service or data from container to fog and self-group network. It goes over the most recent container migration methodologies, covering both live and cold migration services. Using intelligent container improves high bandwidth efficiency and provides a solution for a scalable network.