Background:
Number of resource allocation and bidding schemes had been enormously
arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud
services depending on the reputation would not produce fair result in cloud computing. Since the
cloud users not only looking for the efficient services but in major they look towards the cost. So
here there is a way of introducing the bidding option system that includes efficient user centric behavior
analysis model to render the cloud services and resource allocation with low cost.
Objective:
The allocation of resources is not flexible and dynamic for the users in the recent days.
This gave me the key idea and generated as a problem statement for my proposed work.
Methods:
An online auction framework that ensures multi bidding mechanism which utilizes user
centric behavioral analysis to produce the efficient and reliable usage of cloud resources according
to the user choice.
Results:
we implement Efficient Resource Allocation using Multi Bidding Model with User Centric
Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to
provide better allocation of cloud resources which ensures bidding and user behavior.
Conclusion:
Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with
User Centric Behavior Analysis is implemented & system is designed in such a way to provide better
allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained
accordingly such that to produce efficient resource utilization. Further the work can be taken towards
data analytics and prediction of user behavior while allocating the cloud resources.
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge
