WHY GRID - PROBLEMDOMAINS:<br /><ul><li>There are some large scale problems which require analysis of high volumes of data (of the order of petabytes) to derive an inference.
Such problems thus need computing resources (say processing power of the order of teraflops, secure dependable networks and storage) often for which even a supercomputer does not suffice.
Some Such Problems:</li></ul> 1) High Energy Physics Experiments (E.g. LHC)<br /> 2) Earthquake Simulation Experiments<br /> 3) Drug Discovery<br /> 4) Weather Modeling<br /><ul><li> Grid aims to provide a cost effective, scalable and reliable computing platform to such grand challenge data intensive problems.</li></li></ul><li>WHAT IS A GRID:<br />
GRIDS AND THEIR TYPES:<br /><ul><li>Grid is an infrastructure that involves the integrated and collaborative use of computers, networks, databases and scientific instruments.
Grid resources may be owned and managed by multiple organizations often heterogeneous (platforms, operating systems) and geographically dispersed in nature.
Computational Grid: Main computing resource shared – Processing Power.
Data Grid: Main computing resource shared – Storage. Provides fast and secure access to distributed, heterogeneous pools of data.
Network Grid: Main purpose to provide fault-tolerant and high performance communication.</li></li></ul><li> COMPUTING APPROACHES:<br />
WHAT ARE GRID REQUIREMENTS:<br /><ul><li>Remote Storage and Replication of data sets.
Publication and discovery of data sets using global logical name.
Security- access authorization and authentication.
Discovery and Unified access and view of Remote Resources taking into account their local access policies.
An opportunity to create a large processing center and sell its capabilities to customers.
This frees the customers from the need to purchase, configure, and manage their own large network of computers. Where large computing jobs are infrequent enough that renting is less expensive than purchasing computers. Eg: multi-player gaming grid –SECOND LIFE.</li></li></ul><li>GRID COMPUTING: FUTURE<br /><ul><li>GRID INFRASTRUCTURE DEVELOPMENT
STANDARIZATION -to allow interoperability between different products and implementations.</li></ul>Open Grid Service Infrastructure (OGSI) standard .<br />WSRF (Web Services Resource Framework) standard that enables Web services integration within Grid Architecture. This allows Grid Developers to take advantage of standard message formats and communication mechanisms such as HTTP and XML for communicating between heterogeneous components and architectures. <br />
REFERENCES:<br /><ul><li>“Weaving computational grids : How analogous are they with Electrical grids” by MadhuChetty and RajkumarBuyya.
“A gentle introduction to grid computing and technologies’- RajkumarBuyya and SrikumarVenugopal.
“Grid computing- a brief technology analysis”- Roger Smith.
“Introduction to Grid Computing”- IBM Redbooks.</li></li></ul><li>THANK YOU<br />
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