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Grid computing research conducted by the High Energy Physics (HEP) Group at the University of Cambridge, Department of Physics has enabled software company IMENSE to develop and commercialise a range of content based image recognition products. The research gained substantial media interest and was featured at the BA Festival of Science 2008.
This impact case study delivers a sustainable approach to the provision of large-scale Cloud Computing resources, through an international research collaboration. Such a platform enables the widening of participation in Higher Education (HE) across nations, by transforming the provision of IT system resources. The transformation is achieved through the effective sharing and utilisation of flexibly reconfigurable computing resources, whilst reducing the impact upon global carbon emissions. Significantly, the international nature of this research has been recognised by considerable funding from both Chinese and UK agencies. Additionally, the creation of closer research links between international partners has resulted in industrial commercialisation.
This case study reports our work on the development, application and dissemination of innovative cloud-based technologies to industrial problem domains. First, decentralised scheduling is implemented within federated Clouds, to facilitate the new drug discovery process for a global pharmaceutical company. Second, multi-objective approaches to the management and optimisation of video processing and analysis workflows in distributed environments is described in the context of an SME organisation that is developing new products, services and markets. Both of these examples have attracted, and continue to attract, commercial funding, and demonstrate the efficacy of knowledge transfer into industry from University of Derby (UoD) research.
Gateway technologies have enhanced the ability of end-users to engage with high-performance computing (HPC) programs on massively distributed computing infrastructures (DCIs) such as clusters, grids and clouds. The technologies are focussed on the needs of business, industry, organisations and communities; enabling them to extract added business and social benefit from custom high-value services running on a wide range of high-performance DCIs. Typically, such services are based on computational workflows tailored to specific business needs. DCIs may comprise resources already owned (eg. clusters) combined with resources rented on a pay-as-you- go basis (eg. clouds). Several companies and organisations worldwide are currently using the technologies.
The research in this case study has pioneered knowledge management technology. It has had major impact on drug discovery and translational medicine and is widely adopted in the pharmaceutical and healthcare industries. The impacts are:
A quiet technology revolution in the UK has been changing the way that police officers on the beat and hospital nurses access and record information, using handheld electronic notebooks that bring large time and cost savings. This revolution began as a University of Glasgow research programme and led to the creation of a successful spin-out company, Kelvin Connect. Acquired in 2011 by the UK's largest provider of communications for emergency services, Kelvin Connect has grown to 30 staff. Its Pronto systems are now in use by 10% of UK police forces and nursing staff in several UK hospitals.
Cyber security and situational awareness research has impacted organisations' strategy, policy and practice. Impact was delivered through nuWARP (Northumbria University Warning, Advice and Reporting Point) registered as part of the UK Government's Centre for the Protection of National Infrastructure. International impact: direct contribution to EU Cyber Security Strategy; improved practices at the Nigerian Economic and Financial Crimes Commission; redeveloped business model at Star Spreads (online gambling company) leading to safer practices for customers. National impact: contributed to improved business models and policies in SMEs (Washington Metalworks, Shared Interest, SRM Ltd), which have improved data security and online practice.
KCL research played an essential role in the development of data provenance standards published by the World Wide Web Consortium (W3C) standards body for web technologies, which is responsible for HTTP, HTML, etc. The provenance of data concerns records of the processes by which data was produced, by whom, from what other data, and similar metadata. The standards directly impact on practitioners and professional services through adoption by commercial, governmental and other bodies, such as Oracle, IBM, and Nasa, in handling computational records of the provenance of data.
PERMIS is a suite of open source security software, written mostly in Java, which provides an application-independent, standards-based, authorisation infrastructure that enables software developers to incorporate state of the art authorisation functionality into their systems with a minimum of effort.
PERMIS has been integrated into a wide variety of environments including grids, clouds and more specialised domains, leading to more secure systems for end users at a reduced cost of implementation; for example, the Swiss Ministry of Defence has adapted PERMIS for use in an air force application. It consistently gets more than 1000 downloads per year, with over 100 new users registering annually.
Researchers in Cambridge have developed a data standard for storing and exchanging data between different programs in the field of macromolecular NMR spectroscopy. The standard has been used as the foundation for the development of an open source software suite for NMR data analysis, leading to improved research tools which have been widely adopted by both industrial and academic research groups, who benefit from faster drug development times and lower development costs. The CCPN data standard is an integral part of major European collaborative efforts for NMR software integration, and is being used by the major public databases for protein structures and NMR data, namely Protein Data Bank in Europe (PDBe) and BioMagResBank.