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 An Intelligent Economic Approach for Dynamic Resource Allocation in Cloud Services

ABSTRACT:

             Many market-based resource management strategies are been brought out to implement resource scheduling in cloud computing environment. More and more consumers rely on cloud providers to supply computing service, so economic effectiveness become crucial decisive factor for scheduling policy .An Intelligent Economic approach for Dynamic resource Allocation (IEDA) is proposed with the improved combinatorial double auction protocol devised to enable various kinds of resources traded among multiple consumers and multiple providers at the same time enable task partitioning among multiple providers.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- It has created a competitive market   where consumers pay providers for using resources and are usually billed using a pay-as-you-go model.In several resource allocation strategies based on a reverse auction model for allocating.    A reverse batch matching auction is proposed for allocating various kinds of cloud resources from different providers.	PROPOSED CONCEPT:- In this paper, a novel reputation system is proposed and integrated into IEDA, and then free competition is encouraged and trustful auction is boosted.   The IEDA system framework is proposed to comprehensively deal with the a for mentioned resource allocation challenges, and agents are introduced to  enable process automation.
EXISTING ALGORITHM:- Artificial Neural Network (ANN)	PROPOSED ALGORITHM:-  Back Propagation Neural Network (BPNN)
ALGORITHM DEFINITION:-  Resource allocation and reclamation can occur at any time with supply and demand relation varying frequently.	ALGORITHM DEFINITION:- BPNN based price prediction algorithm is proposed with instant and historical price and non-price factors considered to make bidding and asking reasonable. a price matching algorithm is proposed to determine eligible transaction relationship among consumers and providers.
DRAWBACKS:-  The fixed-price based approaches. Monetary cost of the execution problem will become very high.	ADVANTAGES:- Dynamic price based approaches. Monetary cost of the execution problem   very low