M.E. Computer Science & Engineering:Grid ComputingThapar University
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Advanced Data Structures
Software Design and Construction
Software Engineering Concepts and Methodologies
Advanced Computer Architecture
Parallel and Distributed Computing
Advanced Database Systems
Soft Computing Neural Networks
Overview and Motivation: The history and evolution of Grid computing, Situating Grid computing � the big picture, Basic concepts of Grid computing and Requirements, Large scale problem solving, Exemplars, Problems, trends and directions
Grid Architectures and Technologies: Nature of Grid architecture, Components of Grid, Layered Grid Architecture: Key Components: Grid Resource Allocation Management (GRAM), Grid FTP protocol, Grid Resource Information Service (GRIS). Resource infrastructure, Open Grid Services Architecture (OGSA), Globus Toolkit and Web Services
Further technologies: Storage Resource Broker; Legion; Condor
Grid Computing Environments, Resource allocation, sharing and discovery.
Peer-to-peer systems: Purpose, definition, characteristics, Types of P2P systems. Examples like Gnutella, Chord, Napster, KaZaA, Freenet, neuroGrid, JXTA.
Relationship of P2P computing with GRID.
Security issues in Grid environment: Introduction to GSI
Grid Applications, New Biology and the Grid, Data Intensive Grids � applications for high-energy physics, Semantic Grid