Multiple output prediction for homogeneous cloud user

Closed Posted 5 years ago Paid on delivery
Closed Paid on delivery

Cloud computing allows dynamic resource scaling for enterprise online transaction systems, one of the

key characteristics that differentiates the cloud from the traditional computing paradigm. However,

initializing a new virtual instance in a cloud is not instantaneous; cloud hosting platforms introduce

several minutes delay in the hardware resource allocation. In this paper, we develop prediction-based

resource measurement and provisioning strategies using Neural Network and Linear Regression to satisfy

upcoming resource demands.

Experimental results demonstrate that the proposed technique offers more adaptive resource

management for applications hosted in the cloud environment, an important mechanism to achieve ondemand

resource allocation in the cloud.

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Project ID: #18356014

About the project

Remote project Active 5 years ago