A New Solution for Workload Change Detection in Self-Tuning NoSQL Database

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MOZAFFARI M.; NAZEMI E.; EFTEKHARI MOGHADAM A.M.

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Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2019 | Volume:49 | Issue:3 (89) Page(s): 1317-1331

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Title

A New Solution for Workload Change Detection in Self-Tuning NoSQL Database

Author(s)

MOZAFFARI M. | NAZEMI E. | EFTEKHARI MOGHADAM A.M. | Issue Writer Certificate

Keywords

Autonomic databasesQ1

Automated schema databaseQ1

Workload monitoring and analysisQ1

Feedback control loopQ1

NoSQL databaseQ1

Abstract

Database management systems are the main part of information system that the size and complexity of these systems significantly have been increased in recent years. With the growing and being more complicated database management systems, database Administrators face more problems and challenges, so management of these systems is Time-consuming and costly. More over the main part of the total cost of ownership includes the cost of expert database administrator (DBA) who can manage these large and complicated systems. Autonomic databases by providing self-management functionality are caused to reduce the total cost of ownership for a database system. The self-management decisions as the Automated schema database tuning depend on the database workload. One of the important issues in realizing the database automated tuning is Workload monitoring and analysis for changes detection and schema re-tuning with this changes. In this paper is presented the Feedback control loop for continuous monitoring and light-weight analysis of workload in NoSQL column-oriented database. This loop describes a design pattern for self-tuning feature and uses for workload change detection which require Automated schema database re-tuning. The experimental results exhibit the effectiveness of the proposed solution for workload change detection.

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APA: Copy

MOZAFFARI, M., NAZEMI, E., & EFTEKHARI MOGHADAM, A.M.. (2019). A New Solution for Workload Change Detection in Self-Tuning NoSQL Database. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 49(3 (89) ), 1317-1331. SID. https://sid.ir/paper/256508/en

Vancouver: Copy

MOZAFFARI M., NAZEMI E., EFTEKHARI MOGHADAM A.M.. A New Solution for Workload Change Detection in Self-Tuning NoSQL Database. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;49(3 (89) ):1317-1331. Available from: https://sid.ir/paper/256508/en

IEEE: Copy

M. MOZAFFARI, E. NAZEMI, and A.M. EFTEKHARI MOGHADAM, “A New Solution for Workload Change Detection in Self-Tuning NoSQL Database,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 3 (89) , pp. 1317–1331, 2019, [Online]. Available: https://sid.ir/paper/256508/en

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