NDLI: An Adaptive Performance Modeling Approach to Performance Profiling of Multi-service Web Applications

Content Provider	IEEE Xplore Digital Library
Author	Xiang Huang Wei Wang Wenbo Zhang Jun Wei Tao Huang
Copyright Year	2011
Abstract	The performance of multi-service applications are known to be determined mainly by the interactions between workload and behaviors of the application. The change of workload can lead to dynamic service demands on system resources, and even cause dynamic bottleneck switches between services inside the application. In this paper, to profiling large-applications' behaviors, and help to locate the bottleneck and optimize their capacities, we focus on modeling their behavior according to the workload. Although this topic has been well studied at testing stage, building such a model under live workload remains a challenge, because the workload and application behaviors are time-varying. To tackle this problem, we propose an adaptive approach to build and rebuild performance model according to log files. Both the user behaviors and their corresponding internal service relations are modeled, and the CPU time consumed by each service is also obtained through Kalman filter, which can "absorb" some level of noise in real-world data. Our model can explain the behaviors of both the whole application and the individual services, and provide valuable information for capacity planning and bottleneck detection. At last, our work is evaluated with TPC-W bench mark, whose results can demonstrate the effectiveness of our approach.
Starting Page	4
Ending Page	13
File Size	788117
Page Count	10
File Format	PDF
ISBN	9781457705441
ISSN	07303157
e-ISBN	9780769544397
DOI	10.1109/COMPSAC.2011.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-18
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Monitoring Kalman filters Adaptation models Capacity planning Analytical models Databases Kalman filter web applications capacity planning bottleneck detection performance modeling
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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