Leeds Beckett University - City Campus,
Woodhouse Lane,
LS1 3HE
Sustainable IT
The Sustainable IT research group has a long-standing research track record in IT energy measurement and management, as well as energy efficiency which provide the foundation for the group’s research focus on IT sustainability issues.
Our Sustainable IT research is closely aligned to the following: UN 2030 Sustainable Development Goals – SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action); GeSI initiatives for Europe and beyond - Smart2020, Smarter2020, and Smarter 2030. The two facets of our research and their associated research areas are:
- “Sustainable IT” (Dr. Ah-Lian Kor, Dr. Anatoliy Gorbenko, Emeritus Professor Colin Pattinson, and Mr. Kiran Voderhobli)
- ICT environmental impact audit
- Data Center - sustainability metrics, thermal characterization, energy efficiency, and green distributed data center architecture (collaborative PERCCOM research together with ENEA, Italy and Universite de Lorraine, France)
- ICT Infrastructure and Devices - SNMP monitoring, control, and management of network energy consumption; energy efficient networking together with Orange and Universite de Lorraine, France; energy aware cloud infrastructure; energy efficient software and mobile apps; wireless sensor network interoperability; traffic management for sustainability; reliability and dependability, etc…)
- “IT for Sustainability” (Professor Jiamei Deng) - smart online monitoring tool for diagnosis and prediction of NPPs’ status during different stages of loss of coolant accident (LOCA) progression; fault tolerant control for NPP safety; (Dr. Giuseppe Colantuono) – renewable energy storage and smart energy grid
Sustainable IT Projects
- EU Erasmus+ funded CEBMI
- EU Erasmus+ funded ALIOT
- EU Erasmus+ funded GLOBE
- EU EMJMD funded PERCCOM
- EU EMJMD funded GENIAL
- EU Interreg NWE funded Red WoLF
- EU Tempus funded GreenCo
- Janet UK - development of low-cost, low-energy portable wireless LAN
- JISC funded Energy Use of Thin Client Technologies (“Does Thin Client Mean Energy Efficiency?”)
- JISC funded Measuring Data Centre’s Efficiency
Featured research
Green Networking and Cloud Computing (GENIAL)
Read moreOutputs
- Kharchenko, V., Kor, A. L., and Rucinski, A. (Editors, 2019). Dependable IoT for Human and Industry: Modeling, Architecting, Implementation, River Publishers, ISBN 9788770220149
- Dastbaz, M., Pattinson, C., Akhgar, B. (editors, 2015). Green Information Technology: A Sustainable Approach, Morgan Kaufmann
- Andersson, K., Rondeau, E., Kor, A. L., and Johansson, D. (Editors, 2017). Sustainable Mobile Computing and Communications, Mobile Information Systems, Volume 2017 (2017), Article ID 1098264
- Raihan, U. I., et. al. (2019). Capacity Management of Hyperscale Data Centers Using Predictive Modelling, Energies 2019, 12(18), 3438
- Gorbenko, A., Romanovsky, A., and Tarasyuk, O. (2019). Fault tolerant internet computing: Benchmarking and modelling trade-offs between availability, latency and consistency, Journal of Network and Computer Applications, Volume 146, 15 November 2019
- Gorbenko, A., Romanovsky, A., Tarasyuk, O., Biloborodov, O. (2019). From Analysing Operating System Vulnerabilities to Designing Multiversion Intrusion-Tolerant Architectures, IEEE Transactions on Reliability, Volume: 69 , Issue: 1 , March 2020, pp.22 – 39
- Colantuono, G., Kor, A.L., Pattinson, C., and Gorse, C. (2018). PV with multiple storage as function of geolocation and climate, Elsevier Solar Energy Journal, 165, 217-232
- Lu, Y., Liao, F., Deng, J., and Pattinson, C. (2018). Cooperative optimal preview tracking for linear descriptor multi-agent systems, Journal of the Franklin Institute, Volume 356, Issue 2, January 2019, pp.908-934
- Liao, F., Wang, Y., Lu, Y., and Deng, J. (2018). Optimal preview control for a class of linear continuous-time large-scale systems, Transactions of the Institute of Measurement and Control, Volume: 40 issue: 14, pp.4004-4013
- Hossain, M. S., Raiful, S., Kor, A. L., Andersson, K., and Pattinson, C. (2017). A Belief Rule Based Expert System for Datacenter PUE Prediction under Uncertainty, IEEE Transactions on Sustainable Computing, April-June 2017, Vol. 2(2), pp.140-153, E-ISSN 2377-3782, doi: 10.1109/TSUSC.2017.2697768
- Gorbenko, A., Kharchenko, V., and Romanovsky, A. (2007). On composing dependable web services using undependable web components, International Journal of Simulation and Process Modelling, 3 (1-2), pp.45-54, doi: 10.1504/IJSPM.2007.014714