Difference between revisions of "QoS Monitoring Data Set"
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== How to use == | == How to use == | ||
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== Download == | == Download == | ||
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== Additional info == | == Additional info == | ||
− | + | TODO | |
== Related case study == | == Related case study == | ||
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Revision as of 14:31, 2 April 2012
This page serves as an appendix to the short paper A Monitoring Data Set for Evaluating QoS-Aware Service-Based Systems, to appear at the 4th International Workshop on Principles of Engineering Service-Oriented Systems (http://www.s-cube-network.eu/pesos-2012). The paper describes a data set of monitoring data, which we envision to be used to evaluate upcoming work in the area of QoS and SLA prediction for composed services and service-based applications.
The data set has originally been used in the evaluation of a contribution to IEEE Transactions on Services Computing:
Leitner, P.; Hummer, W.; Dustdar, S.; , Cost-Based Optimization of Service Compositions IEEE Transactions on Services Computing , forthcoming. doi: 10.1109/TSC.2011.53 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6072201&isnumber=4629387
Contents
Description
This artifact is an extensive set of monitoring data, measured from a running sample service composition. The example application has been implemented using .NET Windows Communication Foundation (WCF) technology, and was deployed on a server running Windows 2007 SP2 (64 bit). The server machine was equipped with 2 2.99GHz Xeon X5450 processors and 32 GByte RAM. A graphical screen shot (in Windows Workflow Foundation notation) of the monitored service composition can be found here: http://www.infosys.tuwien.ac.at/prototypes/VRESCo/workflow.jpg.
Basic technology
The data set has been generated using Windows Workflow Foundation, Windows Communication Foundation and the VRESCo research prototype (see here: https://www.infosys.tuwien.ac.at/prototypes/VRESCo/). The data itself is formatted in the ARFF format of the WEKA machine learning toolkit (http://www.cs.waikato.ac.nz/ml/weka/arff.html), to ease analyzing the data with WEKA.
How to install
N/A
How to use
TODO
Download
http://www.infosys.tuwien.ac.at/staff/leitner/dataset.arff
Additional info
TODO
Related case study
N/A