Cluster and Grid Computing

Subject Description:
The growing popularity of the Internet along with the availability of powerful computers and high-speed networks as low-cost commodity components are changing the way we do parallel and distributed computing (PDC). The PDC  on local-area-networks is called  "cluster computing " and wide-area networks is called " grid computing" . Clusters employ cost-effective commodity components for building powerful computers within local-area networks, and Grids allow to share and aggregate geographically distributed resources ( such as supercomputers, storage systems, data sources, and special classes of devices) across the Internet.  They serve as cost-effective parallel and distributed computing platforms for solving large-scale resource (data and compute) intensive applications in science, commerce, and industry.
Some example of scientific and industrial applications that use these computing platforms are: system simulations, molecular modelling for drug design, brain analysis, weather forecasting, climate prediction, automobile modelling and design, structural engineering, high-energy physics, large-scale network simulation, and earth simulation.
Some examples of commercial applications that use these platforms: web servers (e.g.,  hotmail.com, yahoo.com), search engines (e.g., google.com is driven by a 4500 nodes Linux PC cluster), database engines (e.g., high-end oracle database server), financial modelling, peer-to-peer content sharing (e.g., napster) , and  web-content delivery (e.g., Akamai's world wide network of clusters delivers major web contents, e.g., cnn.com, from the nearest webserver transparently).

The IEEE/ACM Computing Curriculum 2001 has recognised the importance of net-centric computing (parallel and distributed computing) and recommended/proposed the introduction of cluster computing at senior under-graduate or post graduate level.
A coverage of topics in these two fields is discussed below:

Topic	Literature to Read
PART A: Foundations - START
Information Session	Ready for the next digital revolution? Clusters serve up a challenge Australian grid computing Gathering in Clusters Distributed Computing: Power Grid
Socket  Programming in Java & Client Server Computing	(**R**) Sockets in Java (Chapter 13 of Java Book)
Multi-Threading in Java	(**R**) Thread Programming in Java (Chapter 14 of Java Book)
Parallel Computing Overview	(**R**) parintro
PART B: Cluster Computing - START
Cluster Computing: Introduction and System Architecture	(**R**) Mark Baker and Rajkumar Buyya, Cluster Computing at a Glance, High Performance Cluster Computing: Architectures and Systems (Vol. 1), Prentice Hall, NJ, USA, 1999.
Single System Image	(**R**) Rajkumar Buyya, Toni Cortes, and Hai Jin, Single System Image,   International Journal of High-Performance Computing Applications (IJHPCA), ISSN 1094-3420, Volume 15, No. 2, Pages: 124-135, Sage Science Press, Summer 2001. Bruce Walker, Open Single System Image (openSSI) Linux Cluster Project, Hewlett-Packard.
Parallel Pogramming Models and Paradigms	(**R**) Luis Silva and Rajkumar Buyya, Parallel Programming Paradigms, High Performance Cluster Computing: Programming and Applications (Vol. 2), Prentice Hall, NJ, USA, 1999.
MPI Programming  and Excuting MPI using PBS	MPI Tutorial: HTML version & local PDF version
PART C: Grid Computing - START
Introduction and Overview of Grid Computing: Trends, Challenges, Technologies, and Applications	n (**R**) Rajkumar Buyya and Srikumar Venugopal, A Gentle Introduction to Grid Computing and Technologies, CSI Communications, pages 9-19, Vol.29, No.1, ISSN 0970-647X, Computer Society of India (CSI), Mumbai, India, July 2005. Madhu Chetty and Rajkumar Buyya, Weaving Computational Grids: How Analogous Are They with Electrical Grids?, Computing in Science and Engineering (CiSE), ISSN 1521-9615, Volume 4, Issue 4, Pages: 61-71, IEEE Computer Society Press and American Institute of Physics, USA, July-August 2002. Ian Foster, Carl Kesselman, Steve Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, International Journal  of  High Performance Computing Applications, 15(3), 2001.
Industry Speaker: Microsoft HPC Server Lecture	Microsoft HPC website
Term Paper Topics and Projects	Style Format
1. Grid Resource Management and Grid Economy    2. Enterprise Grids and the Aneka Middleware    3. Nimrod-G Grid Resource Broker    4. Economic Scheduling Algorithms GridRM.ppt Grid Brokering and Scheduling: with Nimrod-G and Gridbus Brokers Case Studes	(**R**) Rajkumar Buyya and Srikumar Venugopal, Market Oriented Computing and Global Grids: An Introduction, Market Oriented Grid and Utility Computing, R. Buyya and K. Bubendorfer (eds), ISBN: 978-0470287682, Wiley Press, Hoboken, New Jersey, USA, Oct. 2009. (**R**) Rajkumar Buyya and David Abramson, The Nimrod/G Grid Resource Broker for Economic-based Scheduling, Market Oriented Grid and Utility Computing, R. Buyya and K. Bubendorfer (eds), ISBN: 978-0470287682, Wiley Press, Hoboken, New Jersey, USA, Oct. 2009. Jennifer Schopf, Ten Actions When SuperScheduling, Global Grid Forum Document GFD.04, 2003. Srikumar Venugopal, Rajkumar Buyya and Lyle Winton, A Grid Service Broker for Scheduling e-Science Applications on Global Data Grids, Concurrency and Computation: Practice and Experience, Volume 18, Issue 6, Pages: 685-699, Wiley Press, New York, USA, May 2006.
Cloud Computing and Aneka	(**R**) Rajkumar Buyya and Karthik Sukumar, Platforms for Building and Deploying Applications for Cloud Computing, CSI Communications, Vol.35, No. 1, Pages: 6-11, ISSN 0970-647X, Computer Society of India (CSI), Mumbai, India, May 2011. Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal, James Broberg, and Ivona Brandic, Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems, Volume 25, Number 6, Pages: 599-616, ISSN: 0167-739X, Elsevier Science, Amsterdam, The Netherlands, June 2009.
Globus Toolkit: Basics, Components, and Services	Globus paper & its website, Globus GIS, Globus Usage
Subject Review	Conclusion and Future