Master of Science
(Clare) Xueqing Tang, Ph.D.
Do Young Park, Ph.D.
Soon-Ok Park, Ph.D.
The main core part of this hybrid computing model, a very intelligent or skilled workload managing service has been designed for better throughput of proactive workload management. It allows a collaboration between on- and off-premise clouds structures for hosting Internet-based applications for clients in the organization, also its main striking feature lies in the explicit segregation of its modules like base workload and flash crowd workload, The main benefit of this application is that its service uses a very fast frequent data item detection algorithm, which allows the application to be robust and very fast processing of large volume of data.
In this project we are going to demonstrate that off premise cloud is much better than a wide range of utilization administrations and particularly we can demonstrate it for both open and private mists. On reason implies on area, though off premise implies remote (in the cloud). Case in point if an application keeps running on an "on-reason" server it implies the server is physically in the organization. In the event that you have an off reason arrangement it's facilitating in the cloud or unified area.
Emrooz, Mohid; Khan, Mohammad Munawar; and Mohiuddin, Qutub, "Dynamic Workload Management in Hybrid Cloud Computing" (2016). All Capstone Projects. 209.