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Three Grouped Seminars on Energy Consumption and Information Technology

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  • UserProf. Erol Gelenbe, Imperial College; Prof. Isi Mitrani, University of Newcastle upon Tyne; Dr Andrea Marin, University Ca` Foscari of Venice
  • ClockTuesday 19 January 2016, 14:00-16:30
  • HouseRoom 611 (Gabor Seminar Room), EEE Building.

If you have a question about this talk, please contact Patrick Kelly.

2.00-2.45pm: Energy Consumption in ICT and the Energy Packet Model of Power and Work Flow, Prof. Erol Gelenbe, EEE Dept., Imperial College

Abstract: After briefly reviewing the global energy consumption of energy by ICT , we will discuss the Energy Packet Network (EPN) which is a discrete stochastic model of energy packets (EPs), energy storage and work flow that can be used to compute the equilibrium probability distribution of the backlog of work and of stored energy in systems where both energy flow and work requests are intermittent. The EPN abstraction can be used to derive the overall equilibrium state of a system with producers of intermittent energy and consumers of energy, and to make allocation decisions for energy and workflow. Analytical results will be presented for wireless sensor nodes with energy harvesting, and for interconnected data communication units that use renewable and stored energy.

2.45-3.00pm: Coffee Break

3.00-3.45pm: Optimal Allocation of Virtual Machines on Cloud Servers, Prof. Isi Mitrani, Department of Computing, University of Newcastle upon Tyne

Abstract: Cloud servers are used to provide services to paying customers. Virtual machines can share a server and may be subject to one or more resource constraints. The trade-offs between the benefits of providing the services and the costs of running the servers are examined. The object is to determine the optimal number of servers that should be powered on. Both static and dynamic VM allocation policies are evaluated and compared.

3.45-4.30pm: G-networks for the performance evaluation of energy harvesting Wireless Sensor Networks, Dr Andrea Marin, Department of Informatics, University Ca` Foscari of Venice

Abstract: Wireless sensor networks (WSNs) are an important technology that finds applications in many fields such as environment monitoring, smart cities etc. However the operating of WSNs is often limited since their operation often relies on stored energy. We consider a network of wireless sensors which harvest energy from the environment and use EPs to represent discretized energy stored in a battery. By using a special class of G-networks to model such a system, in which every node may store excess EPs (if no data for transmission is available) or buffered data packets (if no energy is available for transmissions), we derive the network’s product-form solution and analytical expressions for the performance indices under some conditions on the transition rates. The model considered does not belong to the previously known product-form queuing networks.

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