Prof. Erol Gelenbe
Head of Intelligent Systems and Networks (ISN), in the Department of Electrical and Electronic Engineering at Imperial College, London
‘Energy Optimisation for Nano, Micro and Large Scale Computer Systems and Networks’
Abstract:
Various sources point to annual electrical energy consumption by ICT of roughly 1500 TWH per year worldwide, similar to the total electricity consumption of Japan plus Germany, or 8% of the total electricity consumption in the world. In the UK, it is estimated that the new £20 Billion nuclear generators at Hinckley point will not suffice to cover the UK’s electricity needs for ICT. Although the potential for reducing energy consumption in other areas of the economy through judicious use of ICT, but ICT's increasing consumption of electricity may at some point raise questions of social acceptability and cost. Thus our presentation will dwell on three approaches drawn from our recent work, to reduce or mitigate this growth. The first approach is to balance Quality of Service against energy consumption [2]. The second approach is to use Energy Packet Networks to dynamically manage energy flows among different components of a complex computer system that includes sensors or actuators, servers, and diverse sources of stored and renewable energies, so as to optimise QoS and the energy used [3,4]. The third approach is to save energy by encoding information with small numbers of physical particles to represent large amounts of data [5].
The following recent Papers are Open Access and Freely Available Online:
[1] E. Gelenbe and Y. Caseau. The impact of information technology on energy consumption and carbon emissions. ACM Ubiquity 2015 (June), 1, 2016.
[2] E. Gelenbe and R. Lent. Optimising server energy consumption and response time. Theoretical and Applied Informatics 24 (4), 257, 2012.
[3] E. Gelenbe. Synchronising energy harvesting and data packets in a wireless sensor. Energies 8 (1), 356-369, 2015.
[4] E. Gelenbe and E. T. Ceran. Energy packet networks with energy harvesting. IEEE Access 4, 1321-1331, 2016.
[5] E. Gelenbe. Errors and power when communicating with spins. IEEE Transactions on Emerging Topics in Computing 3 (4), 483-488, 2015.
Biography:
Erol Gelenbe a Fellow of IEEE, ACM and IET (UK), is a Professor in the Gabor Chair at Imperial College's the Electrical and Electronic Engineering at Imperial College who is known as the European pioneer of computer and network performance evaluation. He introduced performance models based on diffusion approximations, invented the Random Neural Network Model, and the solvable performance models G-Networks that incorporate control functions, such as work removal and load transfer and balancing. He developed FLEXSIM, an object oriented discrete event simulation approach for flexible manufacturing systems. These methods were integrated into commercial software such as QNAP for the Performance Evaluation of Computer Systems and Networks, and the FLEXSIM suite of commercial tools. His engineering designs include the SYCOMORE multiprocessor packet switch, the fibre optics random access network XANTHOS, the first fully implemented Software Defined Network CPN (Cognitive Packet Network) and its adaptive routing protocol. He contributed optimal protocols for random access communications, and optimum check-points for databases. He recently participated in EU study groups on Cybersecurity for the EU Joint Research Centre and the High Level Science Advisory Group.
He currently works in three areas: Deep Learning, the interaction between Energy Consumption and Quality of Service (QoS) in ICT, and the security of Mobile Networks.
His awards include the In Memoriam Dennis Gabor Award 2013 , the 2010 IET Oliver Lodge Medal , 2008 SIGMETRICS Life-Time Achievement , 1996 Grand Prix France Telecom of the French Academy of Sciences and the Parlar Science Foundation Award (Turkey, 1994). He was awarded Knight of the Legion of Honour (2014) and Officer of the Order of Merit (2001) by France, Grand Officer of the Order of the Star (2007) and Commander of Merit (2006) by Italy.
He was elected to the Royal Academy of Sciences, Arts and Letters of Belgium (2015), the French National Academy of Engineering (2008), the Science Academies of Hungary (2010) and Poland (2013), the Science Academy of Turkey (2012) and
Academia Europaea. He graduated 73 PhD students and received Honoris Causa doctorates from the Universities of Liege, Belgium, Roma-Tor Vergata, and Bogazici (Istanbul ). Recent papers have appeared in the Physical Review, the Communications of the ACM, the ACM/IEEE Trans. on Bioinformatics, IEEE Access, IEEE J. on Selected Areas in Communications, the ACM Trans. on Internet Technology, the ACM Trans. on Autonomous and Adaptive Systems, the IEEE Trans. on Nano-Bio Systems, and the Proceedings of the Royal Society. Seehttps://www.imperial.ac.uk/people/e.gelenbe
Prof. Awais Rashid
Director of Academic Centre of Excellence in Cyber Security Research, University of Lancaster
‘The Internet of (Somewhat Secure) Things: To Boldly Go ...?’
Abstract:
The world is experiencing a massive growth in connected cyber-physical systems. Innovations such as smart cities, Internet of Things (IoT), body-area networks, smart grids and wearable sensors mean that future environments will be hyper-connected, highly open and regularly collect, process or disseminate massive amounts of data. It is not difficult to envisage large-scale deployments with thousands of nodes that are, in turn, used by a large number of stakeholders to provide a multitude of services. Such shared cyber-physical infrastructures will remain in operation for a long time (potentially decades) and the physical composition, the services provided and the stakeholders involved will change with time. In this talk, I will discuss the security challenges posed by this scale, longevity and dynamicity and highlight key research directions for tackling those challenges in order to improve the security and resilience of our future hyper-connected infrastructure.
Bio:
Professor Awais Rashid is Director of the cross-disciplinary Security Lancaster Research Centre, which is one of the UK’s Academic Centres of Excellence in Cyber Security Research. His research focuses on inter-disciplinary investigations of security of cyber-physical systems, such as industrial control systems and Internet of Things, and adversarial and non-adversarial human behaviours impacting cyber security. He leads a number of research projects on cyber security, including a project as part of the UK Research Institute on Trustworthy Industrial Control Systems (RITICS) and co-leading the Security and Safety theme within the UK Hub on Cyber Security of Internet of Things (PETRAS). He is also a member of the UK Centre for Research and Evidence on Security Threats (CREST).
