ADAPT-T: An Adaptive Algorithm for Auto-Tuning Worker Thread Pool Size in Application Servers

The Service Tracking Manager (STM) application is a management software that integrates, collects, and manages alerts/events information from Casino Management Systems. It allows casinos to track alerts and events at different locations. Casinos staff attends to various kinds of requests. The requests can be for providing customer service, handle events related to slots, alerts for security reasons, and so on. As the size of the casino increases, handling, managing, and prioritizing the requests become difficult and casinos resort to hiring more staff. STM is independent of the host system and receives requests from Slot Management Systems, Casino Management Systems and other source applications as appropriate. Once the requests are received, the STM application helps in managing and prioritizing the requests. The main functionality or the key operation to be performed on the data is the parsing to check if it is required by the STM system. To distribute the work, the Thread Pool concept is used. The STM application also runs the logic for prioritizing the tasks and assigns it to the staff. The present work proposes a service tracking manager based on dynamic thread pool concept. The paper examines the correlation between the internal characteristics and the performance of the static and dynamic thread pool. The simulation results show that dynamic optimization for thread pool size is very effective in alleviating the management overhead and improving the overall performance

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Analysis of optimal thread pool size

ACM SIGOPS Operating Systems Review ◽

10.1145/346152.346320 ◽

2000 ◽

Vol 34 (2) ◽

pp. 42-55 ◽

Cited By ~ 37

Author(s):

Yibei Ling ◽

Tracy Mullen ◽

Xiaola Lin

Keyword(s):

Pool Size ◽

Thread Pool

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Trends in dental hygiene applicant pool size and characteristics of students upon entry over three decades

Journal of Dental Education ◽

10.1002/j.0022-0337.1990.54.10.tb02469.x ◽

1990 ◽

Vol 54 (10) ◽

pp. 602-608

Author(s):

MM Walsh ◽

H Ishida

Keyword(s):

Dental Hygiene ◽

Pool Size ◽

Applicant Pool

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Research Recommendations for Applying Vitamin A-Labelled Isotope Dilution Techniques to Improve Human Vitamin A Nutrition

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000185 ◽

2014 ◽

Vol 84 (Supplement 1) ◽

pp. 52-59 ◽

Cited By ~ 5

Author(s):

Sherry A. Tanumihardjo ◽

Anura V. Kurpad ◽

Janet R. Hunt

Keyword(s):

Public Health ◽

Vitamin A ◽

Vitamin A Deficiency ◽

Human Subjects ◽

The Body ◽

Pool Size ◽

Serum Retinol ◽

Vitamin A Status ◽

Status Assessment ◽

Total Body

The current use of serum retinol concentrations as a measurement of subclinical vitamin A deficiency is unsatisfactory for many reasons. The best technique available for vitamin A status assessment in humans is the measurement of total body pool size. Pool size is measured by the administration of retinol labelled with stable isotopes of carbon or hydrogen that are safe for human subjects, with subsequent measurement of the dilution of the labelled retinol within the body pool. However, the isotope techniques are time-consuming, technically challenging, and relatively expensive. There is also a need to assess different types of tracers and doses, and to establish clear guidelines for the use and interpretation of this method in different populations. Field-friendly improvements are desirable to encourage the application of this technique in developing countries where the need is greatest for monitoring the risk of vitamin A deficiency, the effectiveness of public health interventions, and the potential of hypervitaminosis due to combined supplement and fortification programs. These techniques should be applied to validate other less technical methods of assessing vitamin A deficiency. Another area of public health relevance for this technique is to understand the bioconversion of β-carotene to vitamin A, and its relation to existing vitamin A status, for future dietary diversification programs.

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