Towards joint optimization over ICT and cooling systems in data centre: A survey

W Zhang, Y Wen, YW Wong, KC Toh… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Effective management of ICT (information and communications technology) and cooling is
critical in modern data centres for high energy efficiency. This survey paper gives an …

Gamification in human resource management—Status quo and quo vadis

L Murawski - German Journal of Human Resource …, 2021 - journals.sagepub.com
Gamification has recently been presented as a promising opportunity to improve human
resource management (HRM) practices and tools. However, while the number of …

Transforming cooling optimization for green data center via deep reinforcement learning

Y Li, Y Wen, D Tao, K Guan - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
Data center (DC) plays an important role to support services, such as e-commerce and cloud
computing. The resulting energy consumption from this growing market has drawn …

Towards distributed machine learning in shared clusters: A dynamically-partitioned approach

P Sun, Y Wen, NBD Ta, S Yan - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Many cluster management systems (CMSs) have been proposed to share a single cluster
with multiple distributed computing systems. However, none of the existing approaches can …

[HTML][HTML] Cloud Gamification: Bibliometric Analysis and Research Advances

M González-Limón, A Rodríguez-Ramos - Information, 2022 - mdpi.com
Research on gamification in the cloud has been increasing in recent years. The main
objective of this work was to analyse the advances and progress reported in the scientific …

Learning-based power prediction for data centre operations via deep neural networks

Y Li, H Hu, Y Wen, J Zhang - … of the 5th International Workshop on …, 2016 - dl.acm.org
Modelling and analyzing power consumption for data centres can diagnose potential energy-
hungry components and applications, and facilitate in-time control, benefiting the energy …

Runtime performance challenges in big data systems

J Klein, I Gorton - Proceedings of the 2015 workshop on challenges in …, 2015 - dl.acm.org
Big data systems are becoming pervasive. They are distributed systems that include
redundant processing nodes, replicated storage, and frequently execute on a shared'cloud' …

Toward green data centers as an interruptible load for grid stabilization in Singapore

W Xia, Y Wen, KC Toh, YW Wong - IEEE Communications …, 2015 - ieeexplore.ieee.org
For sustainability and environmental friendliness, renewable energy (RE) and distributed
generation (DG), for example, photovoltaic, are being integrated in electrical systems in …

Model-driven observability for big data storage

J Klein, I Gorton, L Alhmoud, J Gao… - 2016 13th Working …, 2016 - ieeexplore.ieee.org
The scale, heterogeneity, and pace of evolution of the storage components in big data
systems makes it impractical to manually insert monitoring code for observability metric …

Simulator for modeling, analysis, and visualizations of thermal status in data centers

R Ullah, N Ahmad, SUR Malik, S Akbar… - … : Informatics and Systems, 2018 - Elsevier
Data centers (DC) are richly instrumented systems consists of highly coupled elements that
store and process a large amount of data. To perform large computation and storage, a DC …