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Mobile Information Systems
Volume 2015, Article ID 657252, 14 pages
Research Article

QoS Management for Embedded Databases in Multicore-Based Embedded Systems

1Embedded Systems Engineering Department, Incheon National University, Incheon 406-772, Republic of Korea
2Electronic Engineering Department, Incheon National University, Incheon 406-772, Republic of Korea

Received 11 June 2015; Accepted 27 September 2015

Academic Editor: Francesco Palmieri

Copyright © 2015 Woochul Kang and Jaeyong Chung. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With ubiquitous deployment of sensors and network connectivity, amounts of real-time data for embedded systems are increasing rapidly and database capability is required for many embedded systems for systematic management of real-time data. In such embedded systems, supporting the timeliness of tasks accessing databases is an important problem. However, recent multicore-based embedded architectures pose a significant challenge for such data-intensive real-time tasks since the response time of accessing data can be significantly affected by potential intercore interferences. In this paper, we propose a novel feedback control scheme that supports the timeliness of data-intensive tasks against unpredictable intercore interferences. In particular, we use multiple inputs/multiple outputs (MIMO) control method that exploits multiple control knobs, for example, CPU frequency and the Quality-of-Data (QoD) to handle highly unpredictable workloads in multicore systems. Experimental results, using actual implementation, show that the proposed approach achieves the target Quality-of-Service (QoS) goals, such as task timeliness and Quality-of-Data (QoD) while consuming less energy compared to baseline approaches.