Containers have newly emerged as a potential way to encapsulate and execute programs. In contrast to virtual machines, each container does not have its own kernel and instead shares the host systems. Containers on the other hand are more lightweight, need fewer data to be sent between network nodes and boot up faster than VM. This makes containers a feasible choice, particularly for hosting and extending the services across the fog computing architecture. The major purpose of this paper is to describe the Distributed Intelligent Scheduling based Lightweight Container algorithm (DIS-LC), which is a revolutionary way for container to fog-services integration and resource optimization. In this proposed algorithm is compared to the least connection algorithm, round-robin algorithm and Ant Colony Optimization-based Light Weight Container (ACO-LWC). Operating cost and traffic cost are used to validate the suggested algorithm. Fog node running costs are divided into two categories: CPU and memory. When compared to current algorithms, quantitative research demonstrates that the proposed DIS-LC scheme gets the greatest performance in terms of all metrics. This demonstrate the algorithm is efficient. Finally, the performance of containerized services and resource management systems is evaluated using the iFogSim simulator.