March 15-16, 2012
Venue Location:Maths Institute, (http://www.maths.ox.ac.uk) in the downstairs lecture theatre.
Address: 24–29 St Giles', Oxford, OX1 3LB
Science in general continues to make increasing use of advanced computing methods to process and visualize data, to perform simulations for comparison with expensive or difficult experiments, to extend the reach of theory beyond accessible experimental ranges, and to mine results from large collections of complex data. The "Science Applications and Infrastructure in Clouds and Grids" workshop to be held in conjunction with Open Grid Forum's OGF 34 meeting will address many of these important topics.
Cyberinfrastructures and e-infrastructures are being used to carry out intensive computations and data processing in ways that support individual researchers, and also in ways that enable collaborations between researchers. In addition to traditional grid computing methods, clouds are increasingly being used to broaden and extend the range of tools used to meet demands for computing and data services.
Previous workshops in this series, as described below, have been used to explore the high-performance range of cloud and grid applications and to discuss science agency uses of clouds and grids. The purpose of this workshop is to investigate cloud and grid framework software efforts and applications in greater detail, with focus on the following questions:
- What are the relative benefits of cloud vs. grid models?
- Are clouds and grids best used in conjunction with each other, or on their own?
- What sort of scientific applications are better suited to each model? Which run better on grids, and which on clouds? Are some areas of research better suited to each model than others?
- How does the difference between cost and support personnel considerations affect research, planning, and funding?
- How do trust and security issues and other constraints affect the uptake of cloud resources?
- What is missing at the cyber/einfrastructure layers, in the applications and supporting libraries, or in the funding models to improve the uptake of cloud resources?
- What is the role of private, community, hybrid and/or commercial cloud models in building frameworks to support scientific research?
- How can scientific research best make use of the work coming out of the existing cloud projects and related activities? What new projects along these lines should be pursued?
- What are the roles of standards bodies and interoperation projects in improving the uptake of research in the clouds? Can we improve on the situation?
This workshop is a follow-on in the series started by two previous workshops on High Performance Applications of Cloud and Grid Tools held in April, 2011 and Science Agency Uses of Clouds and Grids held July, 2011. Deadline for submission of abstracts is Feb 24, 2012.
|0900-0930||Jensen||Introduction, aims of workshop, overview|
|0930-1000||Katz||Grid Computing: The Next Decade|
|1000-1030||El-Khatib||Assembling the EVOp Infrastructure|
|1100-1130||Terstyanszky||Running workflows on Cloud and Grids|
|1130-1200||Jegou||The benefits of mixing grid and cloud workloads for genomics|
|1200-1230||Drescher||EGI Infrastructure Platform: Infrastructure services for scalable scientific platforms|
|1330-1400||McGough||Experiences in running High Throughput Computing on the Cloud|
|1400-1430||Solomonides||Data Sciences and Data Protection - Progressing from restraint to constraint|
|1430-1500||Alexandrov||Towards EU-Brazil Open Data and Cloud Computing e-Infrastructure for Biodiversity|
|1530-1600||Hinrich||Fusion of Bandwidth on Demand and Virtual Organisations|
|1630-1700||Andronico||CLEVER (CLoud-Enabled Virtual EnviRonment)|
|0900-0930||Wallom||Utilising Hybrid Clouds to Provide Resources to Higher Educational Institutions|
|0930-1000||Owen||Analysis of Affymetrix expression data using R on Azure Cloud|
|1000-1030||Sun||A constraints-based resource discovery model for multi-provider Cloud environments|
|1100-1130||Gillam||You pay for what you get: ensuring value for money in the Cloud|
|1130-1200||Kiss||Science Gateways for improving the uptake of Grid and Cloud Computing Infrastructures|