Cloud Computing is a promising computing technologies where end user computing tasks are performed in distributed computing environment with redundant infrastructure to support fault tolerance operation. End users are provided with simple user interface with the help of standard or customized browser to get inputs and then those inputs are transferred to remote location with the help of network. Dedicated resource schedulers pass the task to different resources in distributed environment and passes the computed results to end user browser which effectively reduce the total cost of ownership of computer based system to end user. Hardware, Software & Firmware are managed from one centralized atmosphere. Active Directory and other directory helps the organization to manage the distributed infrastructure from one centralized location. Due to this distributed nature of cloud computing resources puts high demand for effective resource scheduling algorithm that utilizes underlying resources effectively which in turn creates way to Green Data centers. To understand existing resource scheduling algorithm, we surveyed different resource management algorithm for different implementation of cloud data centers. After that we showed different problems in existing resource scheduling algorithm which creates ways to propose effective resource scheduling algorithm that enables organization to create green cloud data centers.

deep learning based resource scheduling, green cloud computing, green data center, resource management frameworks and virtual cloud computing.