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Proactive Workload Management in Hybrid Cloud Computing
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Proactive Workload Management in Hybrid Cloud Computing

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC23


Project Abstract

Proactive Workload Management in

Hybrid Cloud Computing

 

ABSTRACT

 

As the core of this hybrid cloud computing model, an intelligent workload factoring service is designed for proactive workload management. It enables federation between on- and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and flash crowd workload, the two naturally different components composing the application workload. The core technology of the intelligent workload factoring service is a fast frequent data item detection algorithm, which enables factoring incoming requests not only on volume but also on data content, upon changing application data popularity.

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Traditional workload management services will follow only for the public cloud or only for the private cloud.

Its basic function is to maintain the workload in the form of FIFO management.

PROPOSED CONCEPT:-

An intelligent workload factoring service is designed as an enabling technology of the hybrid cloud computing model.

Its basic function is to split the workload into two parts upon  load spikes

EXISTING TECHNIQUE:-

Random or Round robin detection algorithm.

PROPOSED TECHNIQUE:-

Fast Frequent data item detection algorithm.

TECHNIQUE DEFINITION:-

While we do not include the CDN solution into the Cloud-based cost comparison, we note that some of these systems offer quite flexible rules to split CDN traffic among multiple CDNs.

TECHNIQUE DEFINITION:-

While the motivation of the hybrid cloud computing model originates from dynamic workload management, it addresses many concerns on the full Cloud Computing model where customers completely rely on public cloud services for application hosting.

 

DRAWBACKS:-

Server performance is low when huge capacity of requests handling.

Must we need to maintain max cache mechanism.

Very Low dynamic workload.

 

 

ADVANTAGES:-

Significantly increases the server performance within it.

Minimal cache/replication demand on the application data required by it.

Highly dynamic workload.

 

 
 
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