Enabling Automated Deployment for Cluster Computing in Distributed PC Classrooms
The rapid improvement of the microprocessor and network has made it possible for the PC cluster to compete with conventional supercomputers. Lots of high throughput type of applications can be satisfied by using the current desktop PCs, especially for those in PC classrooms, and leave the supercomputers for the demands from large scale high performance parallel computations. This paper presents our development on enabling an automated deployment mechanism for cluster computing to utilize the computing power of PCs such as reside in PC classroom. After well deployment, these PCs can be transformed into a pre-configured cluster computing resource immediately without touching the existing education/training environment installed on these PCs. Thus, the training activities will not be affected by this additional activity to harvest idle computing cycles. The time and manpower required to build and manage a computing platform in geographically distributed PC classrooms also can be reduced by this development.
[1] R. Buyya (ed.), "High Performance Cluster Computing: Systems and
Architectures," Prentice Hall, 1999.
[2] C. Reschke, T. Sterling, D. Ridge, D. Savarse, D. Becker, P. Merkey, "A Design Study of Alternative Network Topologies for the Beowulf Parallel Workstation," Proceedings of the Fifth IEEE International Symposium on
High Performance Distributed Computing, (1996).
[3] T. Sterling, D. Becker, and D. Savarese,"Beowulf: A Parallel Workstation
for Scientific Computation," Proceedings of the Fourth 1995 International Conference on Parallel Processing (ICPP), Vol. 1,
pp.111-14 (1995).
[4] A. Apon, R. Buyya, H. Jin, and J. Mache, "Cluster Computing in the
Classroom: Topics, Guidelines, and Experiences"
[5] Message Passing Interface Forum, "MPI: A message-passing interface
standard," International Journal of Supercomputer Applications 8 (3/4) (1994) 165-414
[6] P. M. Papadopoulous, M. J. Katz, and G. Bruno, "NPACI Rocks: Tools
and techniques for easily deploying manageable Linux clusters," In IEEE
Cluster 2001, October 2001.
[7] P. Uthayopas, T. Angsakul, and J. Maneesilp. "System management
framework and tools for beowulf cluster," In Proceedings of
HPCAsia2000, Beijing, May 2000.
[8] Open Cluster Group, "OSCAR: A packaged cluster software stack for
high performance computing," http://www.openclustergroup.org.
[9] C. Y. Tu, W. C. Kuo, Y. T. Wang, Steven Shiau, "E2CC: Building energy
efficient ClassCloud using DRBL," in Grid '09: Proceedings of the 10th
annual international conferenceon Grid Computing. Banff, AB, Canada: IEEE Computer Society, 2009, pp. 189-195.
[10] P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R.
Neugebauer, I. Pratt, and A. Warfield, "Xen and the Art of
Virtualization," In Proc. 19th SOSP, Lake George, NY, Oct 2003.
[11] PXELINUX, http://syslinux.zytor.com/wiki/index.php/PXELINUX.
[12] NCHC, National Center for High-performance Computing,
http://www.nchc.org.tw
[13] Wake-on-LAN, http://en.wikipedia.org/wiki/Wake-on-LAN
[14] TORQUE Resource Manager,
http://www.clusterresources.com/products/torque-resource-manager.ph.
[15] I. Foster, C. Kesselman, S. Tuecke, "The Anatomy of the Grid: Enabling
Scalable Virtual Organisations'," International Journal of High Performance Computing Applications, 15 (3). p. 200-222. 2001
[16] P. Armstrong, “Building a Scheduler Adapter for the GridWay
Metascheduler,” Faculty of Engineering Summer 2006 Work Term
Report
[17] I. Foster and C. Kesselman, “Globus: A Metacomputing Infrastructure
Toolkit,” International Journal of Supercomputer Applications 11 2
(1997), pp. 115-128.
[18] The Globus Project: the GridFTP protocol,
http://www.globus.org/datagrid/gridftp.html.
[19] A. Petitet, R. C. Whaley, J. J. Dongarra, and A. Cleary. “HPL - A Portable
Implementation of the High-performance Linpack Benchmark for
Distributed Memory Computers,” Available:
http://www.netlib.org/benchmark/hpl/
[20] Siraya Cluster, Available: http://siraya.sro.nchc.org.tw/
[1] R. Buyya (ed.), "High Performance Cluster Computing: Systems and
Architectures," Prentice Hall, 1999.
[2] C. Reschke, T. Sterling, D. Ridge, D. Savarse, D. Becker, P. Merkey, "A Design Study of Alternative Network Topologies for the Beowulf Parallel Workstation," Proceedings of the Fifth IEEE International Symposium on
High Performance Distributed Computing, (1996).
[3] T. Sterling, D. Becker, and D. Savarese,"Beowulf: A Parallel Workstation
for Scientific Computation," Proceedings of the Fourth 1995 International Conference on Parallel Processing (ICPP), Vol. 1,
pp.111-14 (1995).
[4] A. Apon, R. Buyya, H. Jin, and J. Mache, "Cluster Computing in the
Classroom: Topics, Guidelines, and Experiences"
[5] Message Passing Interface Forum, "MPI: A message-passing interface
standard," International Journal of Supercomputer Applications 8 (3/4) (1994) 165-414
[6] P. M. Papadopoulous, M. J. Katz, and G. Bruno, "NPACI Rocks: Tools
and techniques for easily deploying manageable Linux clusters," In IEEE
Cluster 2001, October 2001.
[7] P. Uthayopas, T. Angsakul, and J. Maneesilp. "System management
framework and tools for beowulf cluster," In Proceedings of
HPCAsia2000, Beijing, May 2000.
[8] Open Cluster Group, "OSCAR: A packaged cluster software stack for
high performance computing," http://www.openclustergroup.org.
[9] C. Y. Tu, W. C. Kuo, Y. T. Wang, Steven Shiau, "E2CC: Building energy
efficient ClassCloud using DRBL," in Grid '09: Proceedings of the 10th
annual international conferenceon Grid Computing. Banff, AB, Canada: IEEE Computer Society, 2009, pp. 189-195.
[10] P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R.
Neugebauer, I. Pratt, and A. Warfield, "Xen and the Art of
Virtualization," In Proc. 19th SOSP, Lake George, NY, Oct 2003.
[11] PXELINUX, http://syslinux.zytor.com/wiki/index.php/PXELINUX.
[12] NCHC, National Center for High-performance Computing,
http://www.nchc.org.tw
[13] Wake-on-LAN, http://en.wikipedia.org/wiki/Wake-on-LAN
[14] TORQUE Resource Manager,
http://www.clusterresources.com/products/torque-resource-manager.ph.
[15] I. Foster, C. Kesselman, S. Tuecke, "The Anatomy of the Grid: Enabling
Scalable Virtual Organisations'," International Journal of High Performance Computing Applications, 15 (3). p. 200-222. 2001
[16] P. Armstrong, “Building a Scheduler Adapter for the GridWay
Metascheduler,” Faculty of Engineering Summer 2006 Work Term
Report
[17] I. Foster and C. Kesselman, “Globus: A Metacomputing Infrastructure
Toolkit,” International Journal of Supercomputer Applications 11 2
(1997), pp. 115-128.
[18] The Globus Project: the GridFTP protocol,
http://www.globus.org/datagrid/gridftp.html.
[19] A. Petitet, R. C. Whaley, J. J. Dongarra, and A. Cleary. “HPL - A Portable
Implementation of the High-performance Linpack Benchmark for
Distributed Memory Computers,” Available:
http://www.netlib.org/benchmark/hpl/
[20] Siraya Cluster, Available: http://siraya.sro.nchc.org.tw/
@article{"International Journal of Information, Control and Computer Sciences:50856", author = "Shuen-Tai Wang and Ying-Chuan Chen and Hsi-Ya Chang", title = "Enabling Automated Deployment for Cluster Computing in Distributed PC Classrooms", abstract = "The rapid improvement of the microprocessor and network has made it possible for the PC cluster to compete with conventional supercomputers. Lots of high throughput type of applications can be satisfied by using the current desktop PCs, especially for those in PC classrooms, and leave the supercomputers for the demands from large scale high performance parallel computations. This paper presents our development on enabling an automated deployment mechanism for cluster computing to utilize the computing power of PCs such as reside in PC classroom. After well deployment, these PCs can be transformed into a pre-configured cluster computing resource immediately without touching the existing education/training environment installed on these PCs. Thus, the training activities will not be affected by this additional activity to harvest idle computing cycles. The time and manpower required to build and manage a computing platform in geographically distributed PC classrooms also can be reduced by this development.
", keywords = "PC cluster, automated deployment, cluster computing, PC classroom.", volume = "6", number = "5", pages = "566-5", }
