NDLI: Autonomic workload execution control using throttling

Content Provider	IEEE Xplore Digital Library
Author	Powley, W. Martin, P. Mingyi Zhang Bird, P. McDonald, K.
Copyright Year	2010
Description	Author affiliation: IBM Labs, Toronto, ON Canada (Bird, P.; McDonald, K.) \|\| School of Computing, Queen's University, Kingston, ON Canada (Powley, W.; Martin, P.; Mingyi Zhang)
Abstract	Database Management Systems (DBMSs) are often required to simultaneously process multiple diverse workloads while enforcing business policies that govern workload performance. Workload control mechanisms such as admission control, query scheduling, and workload execution control serve to ensure that such policies are enforced and that individual workload goals are met. Query throttling can be used as a workload execution control method whereby problematic queries are slowed down, thus freeing resources to allow the more important work to complete more rapidly. In a self-managed system, a controller would be used to determine the appropriate level of throttling necessary to allow the important workload to meet is goals. The throttling would be increased or decreased depending upon the current system performance. In this paper, we explore two techniques to maintain an appropriate level of query throttling. The first technique uses a simple controller based on a diminishing step function to determine the amount of throttling. The second technique adopts a control theory approach that uses a black-box modelling technique to model the system and to determine the appropriate throttle value given current performance. We present a set of experiments that illustrate the effectiveness of each controller, then propose and evaluate a hybrid controller that combines the two techniques.
Starting Page	75
Ending Page	80
File Size	177516
Page Count	6
File Format	PDF
ISBN	9781424465224
e-ISBN	9781424465231
e-ISBN	9781424465217
DOI	10.1109/ICDEW.2010.5452744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System performance Admission control Control systems Database systems Control theory Transaction databases Resource management Electronic commerce Deductive databases Monitoring
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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