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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Providing grid schedulers with passive network measurements
AU - El-khatib, Yehia
AU - Edwards, Christopher
AU - Mackay, Michael
AU - Tyson, Gareth
N1 - "©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
PY - 2009
Y1 - 2009
N2 - Grids offer the potential to carry out difficult computing tasks and achieve superior aggregate performance through the utilization of remote resources and transparent collaboration between independent bodies (whether individuals or organizations). Grids are highly complex systems consisting of heterogeneous resources on disparate hosts interconnected across different Autonomous Systems and virtual organizations via a mixture of communication standards. Operating in such environments often proves erratic. Monitoring grid resources allows grid schedulers to adapt to changes in the status of remote resources and the network paths between them. Thus, monitoring the status of the different grid components is critical in order to ensure optimum performance. In this paper we introduce a distributed solution, GridMAP, to collect network and end-host resource measurements, analyze their performance and feed these statistics and predictions back to schedulers. At this stage, we present our implementation of a passive TCP-SYN technique to provide GridMAP with round trip time and throughput measurements and we evaluate our approach against ping and iperf.
AB - Grids offer the potential to carry out difficult computing tasks and achieve superior aggregate performance through the utilization of remote resources and transparent collaboration between independent bodies (whether individuals or organizations). Grids are highly complex systems consisting of heterogeneous resources on disparate hosts interconnected across different Autonomous Systems and virtual organizations via a mixture of communication standards. Operating in such environments often proves erratic. Monitoring grid resources allows grid schedulers to adapt to changes in the status of remote resources and the network paths between them. Thus, monitoring the status of the different grid components is critical in order to ensure optimum performance. In this paper we introduce a distributed solution, GridMAP, to collect network and end-host resource measurements, analyze their performance and feed these statistics and predictions back to schedulers. At this stage, we present our implementation of a passive TCP-SYN technique to provide GridMAP with round trip time and throughput measurements and we evaluate our approach against ping and iperf.
KW - Network measurement
KW - Grid computing
KW - passive network measurement
U2 - 10.1109/ICCCN.2009.5235273
DO - 10.1109/ICCCN.2009.5235273
M3 - Conference contribution/Paper
SN - 9781424445813
SP - 1
EP - 6
BT - Proceedings of 18th Internatonal Conference on Computer Communications and Networks, 2009. ICCCN 2009.
PB - IEEE
CY - San Francisco
T2 - Proceedings of 18th Internatonal Conference on Computer Communications and Networks, 2009. ICCCN 2009.
Y2 - 3 August 2009 through 6 August 2009
ER -