Paper Info
Title
An Approach for Real-Time Database Modeling and Performance Management
Abstract
It is challenging to manage the performance of real-time databases (RTDBs) that are often used in data-intensive real-time applications such as agile manufacturing and target tracking. Feedback control has recently been considered a promising approach to enabling reliable real-time data service. However, most existing work on feedback control of RTDB performance is not based on a RTDB-specific control model, which is critical for closed-loop system design. To address this problem, we design a novel RTDB model that can capture RTDB dynamics by modeling the relation between the total arrival rate (sum of the transaction arrival rate and restart rate) and utilization via a difference equation. Based on the model, we design and tune a utilization controller to compute the total arrival rate adjustment needed to support the desired average/transient utilization. We also design a QoS management scheme and admission control technique that can judiciously adapt the transaction QoS and arrival rate in a RTDB, if necessary, to support the desired utilization, while enhancing the success ratio. In a simulation study, we show that our approach can support the desired average/transient utilization for a range of transaction arrival rates under severe data contention, while considerably improving the success ratio compared to the tested baselines.
Year
DOI
Venue
2007
10.1109/RTAS.2007.6
IEEE Real-Time and Embedded Technology and Applications Symposium
Keywords
Field
DocType
feedback control,concurrency control,real time data,mathematical model,database management systems,performance management,testing,computer science,quality of service,difference equation,feedback,system design,real time systems,job shop scheduling,real time
Agile manufacturing,Control theory,Job shop scheduling,Admission control,Concurrency control,Computer science,Systems design,Quality of service,Real-time computing,Distributed computing,Real-time database
Conference
ISBN
Citations 
PageRank 
0-7695-2800-7
3
0.43
References 
Authors
25
2
Name
Order
Citations
PageRank
Jisu Oh1573.17
Kyoung-Don Kang256337.51