M.E. Computer Science & Engineering:Grid Computing

Semester I

Advanced Data Structures
Software Design and Construction
Research Methodology
Software Engineering Concepts and Methodologies
Advanced Computer Architecture

Semester II

Parallel and Distributed Computing
Advanced Database Systems
Soft Computing Neural Networks
Embedded Systems

Semester III

Seminar
Thesis (Starts)

Semester IV

Thesis (Continued)


Grid Computing

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