Application-Specific Service Level Agreement and Energy-Efficiency Improvement in Cloud Computing Platforms
Summary
The project deals with developing smarter and more energy efficient distributed computing platforms.
Supervisor(s)
Research Location
Program Type
Masters/PHD
Synopsis
Cloud computing environments are gaining popularity as the de facto platforms for many applications. These systems bring a range of heterogeneous resources that should be able to function continuously and autonomously. However, these systems expend a lot of energy. Thus, this project aims to develop new algorithms and tools for energy-aware resource management allocation for large-scale distributed systems enabling these systems to become environmentally friendly. The proposed framework will be ‘holistic’ in nature seamlessly integrating a set of both site–level and system–level/service–level energy–aware resource allocation schemes addressing a range of complex scenarios and different operating conditions.
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Keywords
parallel systems, Distributed systems, cloud computing, service level agreements, ICT
Opportunity ID
The opportunity ID for this research opportunity is: 981
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