Cloud containers become a very popular technology in the current scenario. Allocating the resources in the cloud plays a major role due to its versatility and operational expenses. The Containers, is the talk of the day due to their low overhead and ease of use. Containers use a resource allocation methodology that can dynamically or statically allocate the available pool of resources for its users. Though it is very popular, there have been less container scheduling techniques. This paper suggests a method SCA that allocates the containers based on the source from where the data comes using an effective learning method. This method is found to have a better performance when compared to the existing methods.

Cloud computing, Containers, Transfer learning