UPSI Digital Repository (UDRep)

Campus grid deployment with automation

AVAILABLE Article 389 Views
Scan QR Code to share or view item link:

Digital Assets & Download Files
Login required to access this item.
General Information
Title
Campus grid deployment with automation
Type
Article
Main Author
Nurika, Okta
Subject
T Technology (General)
ISBN
1660-6795
Language Code
eng
Bibliographic Details
Place of Production
Tanjung Malim
Publisher
Fakulti Komputeran & Meta-Teknologi
Year of publication
2024
Notes
Nanotechnology Perceptions
Dissertation Note
Other
Degree Type
Others
Corporate Name
Universiti Pendidikan Sultan Idris

Abstract

Campus grid is a feasible deployment of grid computing since campus environment is equally controlled and the managerial permission is simpler than any other industries. The usability of grid computing is also potentially high, because of the numerous demands from students or researchers in need of high-end computational power and data storage. However, automated efficient way of campus grid platform deployment has never been disclosed, therefore we propose a methodology to deploy a campus grid with automation based on the desktop-grid architecture. Some related issues and challenges that are currently being addressed, with improvements further to be explored, are presented in this paper. Large scale campus grid deployment in this campus involving multiple computer labs and hundreds of computers in total was accomplished, by combining both automation scripts and manual intervention. The chosen campus grid software system is Berkeley Open Infrastructure for Network Computing (BOINC). This practice is expected to guide future BOINC campus grid administrators to establish a working grid computing system, in order to provide grid-based computing and storage resources for running especially heavy simulation programs. © 2024, Collegium Basilea. All rights reserved.

References

Al-iesawi, A. M. and Samat, M. I. M. (2010). A case study on Implementati on of Grid Computing to Academic Institution. 2010 International Symposium in Information Technology (ITSim) [Paper]. 3, pp. 1525-1530.

Foster, I. and Kesselman, C. (1999). The Grid: Blueprint for a New Computing Infrastructure. San Fransisco: Morgan Kauffman.

Chervenak, A., Foster, I., Kesselman, C., Salisbury, C., and Tuecke, S. (2009). The Data Grid:Towards An Architecture For The Distributed Management And Analysis Of Large Scientific Datasets. Journal of Network and Computer Applications [Paper], 23(3), pp. 187-200.

Ninth Malaysian Plan. http://www.parlimen.gov.my/news/eng-ucapan_rmk9.pdf

MYREN High Speed Network. http://www.myren.net.my/sites/default/files/story/2010/07/HamdanIsmail.pdf

Por, L. Y., Su, M. T., Ling, T. C., Liew, C. S., Ang, T. F., and Phang, K. K. (2006). Issues of Establishing a Campus-wide Computational Grid Infrastructure in the GERANIUM Project. Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL’06) [Paper].

BOINC Intro. (2018). http://boinc.berkeley.edu/trac/wiki/BoincIntro.

BOINC Basic Concepts. (2022). http://boinc.berkeley.edu/trac/wiki/BasicConcepts.

BOINC Wrappers. (2022). http://boinc.berkeley.edu/trac/wiki/WrapperApp.

BOINC Job Processing. (2022). http://boinc.berkeley.edu/trac/wiki/JobIntro.

GenWrapper. (2023). http://genwrapper.sourceforge.net/.

Marosi, A. C., Balaton, Z., and Kacsuk, P. (2009). GenWrapper: A Generic Wrapper for Running Legacy Applications on Desktop Grids. 3rd Workshop on Desktop Grids and Volunteer Computing Systems (PCGrid 2009) [Paper].

BOINC API. (2022). http://boinc.berkeley.edu/trac/wiki/BasicApi.

The DC-API. (2022). http://www.desktopgrid.hu/index.php?page=34

EMCO. (2023). http://emcosoftware.com/remote-deployment.

AutoIt Introduction. (2022). http://www.autoitscript.com/autoit3/docs/introduction.htm.

Baude, F., Contes, V. L., and Lestideau, V. (2007). Large-scale Service Deployment - Application to OSGi. Third International Conference on Autonomic and Autonomous Systems (ICAS 2007) [Paper]. pp. 19-24.

Shang, Y., Liu, M., Shao, Z., Jian, L. (2020). A centralized vehicle-to-grid scheme with distributed computing capacity engaging internet of smart charging points: Case study. International Journal of Energy Research, Special Issue: Smart Energy Technologies, vol. 45, issue 1, pp. 841-863.

Murumba, J. and Micheni, E. (2017). Grid Computing For Collaborative Research Systems In Kenyan Universities. The International Journal of Engineering and Science (IJES), vol. 6, issue 4, pp. 24-31.

Shillanpaa, A. and Salmela, V. (2019). FGI - Finnish Grid Infrastructure. https://wiki.eduuni.fi/display/cscfgi/FGI+-+Finnish+Grid+Infrastructure.

Uzdenov, T. A. (2022). A new approach for dispatching task flows in GRID systems with inalienable resources. Journal of Edge Computing, vol. 1, issue 1, pp. 68-80.

Zheng, C., Tovar, B., and Thain, D. (2017). Deploying High Throughput Scientific Workflows on Container Schedulers with Makeflow and Mesos. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2017), pp. 130-139, doi: 10.1109/CCGRID.2017.9.


Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries, kindly contact us at pustakasys@upsi.edu.my or 016-3630263. Office hours only.