AMBIS Annual Lecture 2010
Date: 5th May 2010
Time: 7pm to 9.30pm
Function Room, The Scholar Restaurant @
Kent Ridge Guild House
Professor Simon Lin
Towards a Global Computational Infrastructure for eScience
| PPT 10 Mbytes
Over the past two decades, we have seen the emergence of a global information infrastructure, unprecedented in the history of mankind. This Internet infrastructure was built by scientists throughout the world through their goodwill and cooperation to set up the TCP/IP protocol ubiquitously and to intercommunicate with each other for the purposes of basic functions of email and file transfer. We have also seen the emergence and establishment of the World Wide Web as the medium of choice for the dissemination of information and sharing of knowledge, from text to audio and video content.
Today, we have all but taken for granted this new medium for communication between any individual anywhere in the world. Will this global information infrastructure remain as it is twenty years from now? Unlikely! This is because there is another wave of development from the scientific community yet again. This time, it is all about the ability to process all the Exabytes of information which we have generated in the past twenty years, and all the new ones which we are going to generate. How we can cope with this information and data deluge not just in terms of media content, such as blogs and webpages, but also diligently collected scientific data will determine the economy of the future. In this regard, scientists have already started to collaborate just like we did for the Internet, in creating platforms of high performance computing. Starting with the Grid computing and cloud computing concepts, and working on organised domains of scientific data, researchers from fields as diverse as the Large Hadron Collider particle physics, to Hubble Telescope's astronomical research, to Remote Sensing data for meteorological modelling, to sub-microscopic events in evolutionary time and medical informatics. This is the basis of eScience of today, a large scale interoperable global computational infrastructure that parallels and builds on the global information infrastructure which we have today, a platform that will cope with the processing and analysis of data which the global information infrastructure generates by the Terabyte every second. This is needed in order to ensure that the data deluge will become organised information, and that this body of information created by 21st century human beings can be distilled into knowledge through computational techniques and prediction algorithms that will improve and possibly save mankind from itself. The EUAsiaGrid of which the speaker is a key architect and founder, is one of the major platforms which eScientists are creating today. How this can be an exemplar of the global computational infrastructure will be described.