GREMO: a GT4 based Resource Monitor

Book chapter

Sahota, V. and Li, M. 2006. GREMO: a GT4 based Resource Monitor. in: Cox, S. (ed.) Proceedings of the UK e-Science All Hands Meeting 2006 National e-Science Centre.
AuthorsSahota, V. and Li, M.
EditorsCox, S.
Abstract

The past few years have seen the Grid rapidly evolving towards a service-oriented computing infrastructure.With the OGSA facilitating this revolution, it is expected that WSRF will be acting as the main an enabling technology to drive the Grid further. Resource monitoring plays a critical role in managing a large-scale Grid system. This paper presents GREMO, a lightweight resource monitor developed with Globus Toolkit 4 (GT4) for monitoring CPU and memory of computing nodes in a Windows and Linux environments.

Year2006
Book titleProceedings of the UK e-Science All Hands Meeting 2006
PublisherNational e-Science Centre
Output statusPublished
ISBN0955398800
Publication dates
Print2006
Publication process dates
Deposited08 Jul 2015
AcceptedSep 2006
Official URLhttp://www.allhands.org.uk/2006/proceedings/proceedings/proceedings.pdf
EventUK e-Science All Hands Meeting
Permalink -

https://repository.canterbury.ac.uk/item/87608/gremo-a-gt4-based-resource-monitor

  • 32
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber
Prior, Oliver J., Hannan Bin Azhar, M. A., Sahota, Vijay and Turner, Scott 2024. Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber. in: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) IEEE. pp. 399-404
Modeling P2P grid information services with colored Petri nets
Sahota, V. and Li, M. 2009. Modeling P2P grid information services with colored Petri nets. in: Wang, L., Jie, W. and Chen, J. (ed.) Grid Computing: Technology, Services, and Applications CRC Press.
Resource monitoring with Globus Toolkit 4
Sahota, V., Li, M. and Guo, W. 2006. Resource monitoring with Globus Toolkit 4. in: Second International Conference on Semantics, Knowledge and Grid, 2006. SKG '06 IEEE. pp. 1-3
Tracking conductivity variations in the absence of accurate stat evolution models in electrical impedance tomography
Hashemzadeh, P., Sahota, V., Callaghan, M., Dib, H., Tizzard, A., Svensson, L. and Bayford, R. 2010. Tracking conductivity variations in the absence of accurate stat evolution models in electrical impedance tomography. in: 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE) : June 18-20, 2010 Chengdu, China IEEE. pp. 1-6
Jinv: a parallel method for distributed matrix inversion
Sahota, V. and Bayford, R. 2010. Jinv: a parallel method for distributed matrix inversion. in: Developments in E-systems Engineering (DESE 2010) IEEE. pp. 163-167
A novel algorithm for online exact string matching
Sahota, V., Li, M. and Bayford, R. 2013. A novel algorithm for online exact string matching. in: 2013 Third International Conference on Innovative Computing Technology (INTECH) Picastaway, New Jersey IEEE. pp. 291-295
A grouped P2P network for scalable grid information services
Sahota, V., Li, M., Baker, M. and Antonopoulos, N. 2009. A grouped P2P network for scalable grid information services. Peer-to-Peer Networking and Applications. 2 (1), pp. 3-12. https://doi.org/10.1007/s12083-008-0016-4
MPS: improving exact string matching through pattern character frequency
Sahota, V., Maozhen, L. and Bayford, R. 2013. MPS: improving exact string matching through pattern character frequency. Journal of Data Processing. 3 (3), pp. 127-137.
Web services discovery with rough sets
Li, M., Yu, B., Sahota, V. and Qi, M. 2009. Web services discovery with rough sets. International Journal of Web Services Research. 6 (1), pp. 69-86.
Modelling scalable grid information services with colored Petri nets
Sahota, V., Li, M. and Hadjinicolaou, M. 2010. Modelling scalable grid information services with colored Petri nets. International Journal of Grid and High Performance Computing. 2 (1), pp. 51-68. https://doi.org/10.4018/978-1-4666-0879-5.ch309