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Dr. Sukhpal Singh Gill

Tuesday, 11th June 2019 1:00 pm
Where: E2-304

Holistic Resource Management for Sustainable and Reliable Cloud Computing: An Innovative Solution to Global Challenge


Minimizing the energy consumption of servers within cloud computing systems is of upmost importance to cloud providers towards reducing operational costs and enhancing service sustainability by consolidating services onto fewer active servers. Moreover, providers must also provision high levels of availability and reliability, hence cloud services are frequently replicated across servers that subsequently increases server energy consumption and resource overhead. These two objectives can present a potential conflict within cloud resource management decision making that must balance between service consolidation and replication to minimize energy consumption whilst maximizing server availability and reliability, respectively. In this talk, I shall discuss a cuckoo optimization-based energy-reliability aware resource scheduling technique (CRUZE) for holistic management of cloud computing resources including servers, networks, storage, and cooling systems. CRUZE clusters and executes heterogeneous workloads on provisioned cloud resources and enhances the energy-efficiency and reduces the carbon footprint in datacenters without adversely affecting cloud service reliability.


Dr. Sukhpal Singh Gill is currently working as a Research Associate at School of Computing and Communications, Lancaster University, UK. Dr. Gill was a Postdoctoral Research Fellow at Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Australia. He was a recipient of several awards, including the Distinguished Reviewer Award from Software: Practice and Experience (Wiley), 2018. His one review paper has been nominated and selected for the ACM 21st annual Best of Computing Notable Books and Articles as one of the notable items published in computing - 2016. He has published more than 45 papers as a first author in highly cited journals and conferences with H-index 16. His research interests include Cloud Computing, Software Engineering, Internet of Things, Big Data and Fog Computing.

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