时间：2018年12月26号下午。

地点：南京农业大学工学院，育贤楼，A栋504。

报告题目：Prescriptive Analytics for Energy Efficient Datacentres

报告摘要：

      Given the evolution of Cloud Computing in recent years, users and clients adopting Cloud Computing for both personal and business needs have increased at an unprecedented scale. This has naturally led to the increased deployments and implementations of Cloud datacentres across the globe. As a consequence of this increasing adoption of Cloud Computing, Cloud datacentres are witnessed to be massive energy consumers and environmental polluters. Whilst the energy implications of Cloud datacentres are being addressed from various research perspectives, predicting the future trend and behaviours of workloads at the datacentres thereby reducing the active server resources is one particular dimension of green computing gaining the interests of researchers and Cloud providers. However, this includes various practical and analytical challenges imposed by the increased dynamism of Cloud systems. The behavioural characteristics of Cloud workloads and users are still not perfectly clear which restrains the reliability of the prediction accuracy of existing research works in this context. To this end, this talk presents our descriptive analytics that uncovers the hidden caused of excess energy expenditures in datacentre execution along with our developed novel resource optimisation framework that aims to avail the most optimum level of resources for executing jobs with reduced server energy expenditures and job terminations. This optimisation framework encompasses a resource estimation module to predict the anticipated resource consumption level for the arrived jobs and a classification module to classify tasks based on their resource intensiveness. 

报告人简介：

      Dr John Panneerselvam is a Lecturer in Computing and an Early Career Researcher member of the University Professorial Council at the University of Derby, United Kingdom. John received his PhD in computing from the University of Derby in 2018 and an MSc in advanced computer networks in 2013. His PhD thesis has been nominated to the BCS distinguished dissertation award by his supervisor Prof Lu Liu. John holds more than 35 publications in reputed international journals, conference proceedings, as book chapters. His teaching responsibilities include scientific computing, business analytics, introduction to data analysis, data management and business intelligence, advanced analytics and computer networking fundamentals. He is an active member of IEEE and British Computer Society and a fellow of the Higher Education Academy, UK. His research interests include cloud computing, fog computing, Internet of Things, big data analytics, opportunistic networking and P2P computing. He also serves as a reviewer for a number of reputed journals including IEEE transactions on cloud computing, IEEE transactions on Sustainable Computing, Future Generation Computer Systems etc.

       Link to University Staff Profile: https://www.derby.ac.uk/staff/john-panneerselvam/