Projects
Projects: Projects for Investigator |
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| Reference Number | EP/I03436X/1 | |
| Title | myTrustedCloud: Towards a virtual private cloud | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 25%; Not Energy Related 25%; Other Power and Storage Technologies(Electricity transmission and distribution) 50%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 75%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 75%; Systems Analysis related to energy R&D (Energy modelling) 25%; |
|
| Principal Investigator |
Dr D Wallom No email address given Oxford e-Research Centre University of Oxford |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 February 2011 | |
| End Date | 14 October 2011 | |
| Duration | 9 months | |
| Total Grant Value | £48,981 | |
| Industrial Sectors | Energy | |
| Region | South East | |
| Programme | NC : Infrastructure | |
| Investigators | Principal Investigator | Dr D Wallom , Oxford e-Research Centre, University of Oxford (99.998%) |
| Other Investigator | Dr A Martin , Computing Laboratory, University of Oxford (0.001%) Dr G Taylor , Electronic & Computer Engineering, Brunel University (0.001%) |
|
| Web Site | ||
| Objectives | ||
| Abstract | The current profusion of cloud infrastructures, built both within the public but also private space have enabled a significant body of research to move their computational requirements into this new paradigm. There are though a collection of usecases that are not able to make use of this new paradigm though it is clear that this would improve the provision of computational and data resources available to them.With the pilot energy applications that we are going to use, looking at the provision of Advanced Metering Infrastructure, Condition Monitoring and Distributed State Estimation we will prove that the utilisation of hardware trust within the system for attestation of state and identification of both the data and algorithms and their hosting virtual instances would mean that this high value critically important system could utilise cloud computing.Specific outputs will also include a detailed threat analysis of using IaaS cloud systems and the specific countermeasures that trusted platform allow within the system, an exemplar software framework in which energy researchers are able to start making use of commercially sensitive information while at the same time make full use of cloud computing. This framework will be documented such that other research areas will also be able to make use of the findings within the project in such sensitive areas as medical and social research, both of whom have traditionally extremely tight restrictions on data | |
| Publications | (none) |
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| Final Report | (none) |
|
| Added to Database | 17/11/11 | |
