Dr. Ming Jiang is a Research Fellow at the School of Computing, University of Leeds, working on the OPTIMIS (Optimized Infrastructure Services) project. The high-level objective of OPTIMIS is to enable an open and dependable Cloud Service Ecosystem that delivers IT services that are adaptable, reliable, auditable and sustainable (ecological and economical). The key goal is to allow organizations to automatically and seamlessly externalize services and applications, to trustworthy and auditable cloud providers. This ecosystem will give rise to a strengthened European ICT industry able to meet key societal and economical needs. The project is funded under the 'Software and Service Architectures & Infrastructures' track of the EU's FP7 framework program and started from June 2010.
Before joining Leeds, from 2006 to 2010, he was a Grid computing researcher and developer at the Particle Physics Department and the e-Science Centre of Rutherford Appleton Laboratory and Daresbury Laboratory of Science and Technology Facilities Council (STFC). During these years served in STFC, he had contributed to the R&D activities of various high profile Grid computing and e-Science projects funded by EGEE-II and III, EGI, UK NGS and OMII-UK programmes and published research papers on several high quality conferences and journals. His main experience and expertise is in Grid resources management, monitoring, usage accounting, distributed data management and transfer and authorisation and authentication in Grid security.
Ming Jiang was awarded a Ph.D. Degree in Computer Science in 2007 at the University of Birmingham for his research work in the integrations and optimisations of Parallel Discrete Event Simulation (PDES) with Grid computing technologies, which focused on dynamic load balancing and communication optimization of PDES on a computational Grid.