The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 17-200
Full Name: Matsuki Yoshino
Position: Engineer
Age: ON
Sex: Male
Address: 5030, Totsuka-cho, Totsuka-ku, Yokohama
Country: JAPAN
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E-mail address: matsuki.yoshino.pw@hitachi.com
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Title of the Paper: Real-Time Resource Usage Monitoring for Web Systems via Statistical Analysis of Log Data Using a Stream Database
Authors as they appear in the Paper: Matsuki Yoshino, Atsuro Handa, Norihisa Komoda, Michiko Oba
Email addresses of all the authors: matsuki.yoshino.pw@hitachi.com, atsuro.handa.vz@hitachi.com, komoda@ist.u-osaka.ac.jp, michiko@fun.ac.jp
Number of paper pages: 8
Abstract: For Web-based systems accessible from the Internet, it is difficult to estimate workloads precisely. Precise estimations of the resources necessary for a system is important for effective utilization of resources in a datacenter. Therefore, capacity planning to forecast the amount of IT resources necessary for a system is important. In capacity planning, the amount of resources necessary for a system is calculated based upon numbers determined by the architecture and business requirements of the system. An example of a number determined by the architecture is the CPU usage required by a single user. An example of a number determined by business requirements is the estimated maximum number of simultaneous users. By multiplying these two numbers, a maximum CPU usage requirement can be calculated. Usually, total system CPU usage and the number of simultaneous users are monitored during operation, and if either value exceeds a threshold, an alarm is sent to operators. !
The authors propose a method to monitor CPU usage per user from total system CPU usage data and the number of users, and perform statistical significance testing in real time by using a stream database. The window size used in a CQL (Continuous Query Language) statement for the test affects the precision of the test and memory consumption of the stream database. Through experimentation, the authors propose an optimal window size.
Keywords: Capacity planning, Real-time analysis, Statistical testing, Stream database, Web systems
EXTENSION of the file: .pdf
Special (Invited) Session: Resource Usage Monitoring for Web Systems Using Real-time Statistical Analysis of Log Data
Organizer of the Session: 658-366
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