JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisites:

• Computer Organization & Architecture
• Operating System Programming

Course Objectives:

• To Improve the system performance
• To learn various distributed and parallel computing architecture
• To learn different computing technologies

Course Outcomes:

• Understanding the concepts in grid computing
• Ability to set up cluster and run parallel applications
• Ability to understand the cluster projects and cluster OS
• Understanding the concepts of pervasive computing & quantum computing.

UNIT - I

Grid Computing: Data & Computational Grids, Grid Architectures And Its Relations To Various Distributed Technologies. Autonomic Computing, Examples Of The Grid Computing Efforts (Ibm).

UNIT - II

Cluster Setup & Its Advantages, Performance Models & Simulations; Networking Protocols & I/O, Messaging Systems. Process Scheduling, Load Sharing And Balancing; Distributed Shared Memory, Parallel I/O.

UNIT - III

Example Cluster System – Beowlf; Cluster Operating Systems: Compas And Nanos Pervasive Computing Concepts & Scenarios; Hardware & Software; Human – Machine Interface.

UNIT - IV

Device Connectivity; Java for Pervasive Devices; Application Examples.

UNIT - V

Classical Vs Quantum Logic Gates; One, Two & Three Qubit Quantum Gates; Fredkin & Toffoli Gates; Quantum Circuits; Quantum Algorithms.

TEXT BOOK:

• 1. “Selected Topics In Advanced Computing” Edited By Dr. P. Padmanabham And Dr. M.B. Srinivas, 2005 Pearson Education.

REFERENCE BOOKS:

• 1. J. Joseph & C. Fellenstien: ‘Grid Computing ‘, Pearson Education
• 2. J. Burkhardt et.al: ‘pervasive computing’ Pearson Education
• 3. Marivesar:’ Approaching quantum computing’, Pearson Education.
• 4. Raj kumar Buyya:’High performance cluster computing’, Pearson Education.
• 5. Neilsen & Chung L:’ Quantum computing and Quantum Information’, Cambridge University Press.
• 6. A networking approach to Grid Computing, Minoli, Wiley