Energy-efficient resource provisioning for network-based cloud computing environments

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Cloud computing is an increasingly popular computing paradigm, now proving a necessity for utility computing services. Several providers have cloud computing (CC) solutions available, where a pool of virtualized, dynamically-scalable, computing power, storage, platforms, and most recently network services are delivered on demand to clients over the Internet. This is implemented using large data centers (DCs) where thousands of servers reside. The proposed project will research and develop a comprehensive resource allocation and scheduling framework for cloud computing systems that considers geographical constraints, energy, regulations and locations of data sources, and network connections provisioning. This framework will handle all the system resources in the data center networks, and manage client requests, dictate resource allocation, ensure network quality of service (QoS) conditions, and reduce or eliminate performance hiccups. This framework would also execute the mentioned tasks while minimizing the service provider cost and controlling the level of consumed energy. This project brings together a small but outstanding team of proven researchers with complementary expertise to successfully conduct the proposed research. Furthermore, the industrial partners will be actively involved in the project and will play an important role in the training of the graduate students. The expected research findings and outcomes are not expected to only benefit our industrial partners, but also the wider technical and industrial communities will benefit from the resulting technologies and will help to establish critical technology leadership in the rapidly-expanding cloud computing field. In addition, the proposed project will train talented and highly-capable HQPs in Canada with expertise in cutting-edge IT technology fields and state-of-the-art research analysis tools. Therefore, many Canadian high-tech firms will benefit from hiring graduate students with expertise developed in this research.