Optimization of Cloud Computing Applications through Cloud Data Mining and Analytics

Cloud Computing allows consumers to reduce the costs associated with the purchase

and maintenance of computing infrastructure, platform and software resources by

exploiting on-demand resource provisioning and pay-per-use payment models.

Although, cloud computing has offered significant benefits to the IT industry, the

research on cloud computing is currently at its infancy, with many issues still to be

addressed. In this project, we will investigate current cloud computing services and

state-of-the-art Analytics and Data mining techniques to research and develop a data

mining engine for improving cost efficiencies and optimizations in cloud resource

consumption. A full analysis will be conducted on applying analytics and data mining

techniques on cloud computing platform and infrastructure in enterprise IT and the

impact of business units within the organization. Recommendations for flagging high

cloud data transfer charges, unused cloud resources, operational efficiencies, and

areas of automation are encapsulated into a final report.

Faculty Supervisor:

Ali Mesbah

Student:

Partner:

Fusionpipe Solutions Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

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