A Log Analysis System with REST Web Services for Desktop Grids and its Application to Resource Group-based Task Scheduling


Joon-Min Gil, Mihye Kim, Journal of Information Processing Systems Vol. 7, No. 4, pp. 707-716, Dec. 2011  

https://doi.org/10.3745/JIPS.2011.7.4.707
Keywords: Desktop Grids, Execution Behavior, Log Analysis System, REST Web Services, Resource Group-based Task Scheduling
Fulltext:

Abstract

It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Gil, J. & Kim, M. (2011). A Log Analysis System with REST Web Services for Desktop Grids and its Application to Resource Group-based Task Scheduling. Journal of Information Processing Systems, 7(4), 707-716. DOI: 10.3745/JIPS.2011.7.4.707.

[IEEE Style]
J. Gil and M. Kim, "A Log Analysis System with REST Web Services for Desktop Grids and its Application to Resource Group-based Task Scheduling," Journal of Information Processing Systems, vol. 7, no. 4, pp. 707-716, 2011. DOI: 10.3745/JIPS.2011.7.4.707.

[ACM Style]
Joon-Min Gil and Mihye Kim. 2011. A Log Analysis System with REST Web Services for Desktop Grids and its Application to Resource Group-based Task Scheduling. Journal of Information Processing Systems, 7, 4, (2011), 707-716. DOI: 10.3745/JIPS.2011.7.4.707.