The Smart Workflow Analysis Framework For Channel Allocation In Ultra Dense Cloud Computing

Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. In cloud computing, resources such as networks, servers, services, and applications are all provided over the Internet. In this paper, a smart workflow analysis framework has proposed for channel allocation in ultra dense cloud computing. The Smart Workflow Analysis Framework for Channel Allocation in Ultra Dense Cloud Computing is a highly advanced system to optimize wireless resource allocation. It employs a combination of cognitive radio networks, graph convolutional networks, reinforcement learning approaches and neural networks to allocate channels in an optimal way. By using deep reinforcement learning, the framework is able to make decisions based on real-time edge network data.