Collaborative Research: CSR-EHS
Towards an Integraded Framework for Low-Power Reilable Real-Time Embedded Systems



Award Information: 
Sponsor: National Science Foundation
Grant Number: CNS-0720651 (Award Abstract at NSF)
Award Institution: The University of Texas at San Antonio (UTSA)
Period: August 2007 - July 2010 (no cost extension to July 2011)
Amount: $179,983

Status: completed as of December 2011. 


People:

 


Research Synopsis: 


Due to the proliferation of battery-powered embedded computing devices (e.g., PDAs, cell phones and laptops), energy has become the first-class resource in computing systems and power-aware computing has become an important research area. Despite the recent progress in this area, a number of serious challenges remain to be addressed as the technology size shriks and transient faults become more prominent. For autonomous critical real-time embedded applications, such as satellite and surveillance systems, where system reliability is as important as energy efficiency, managing energy consumption while preserving system reliability is desired. The problem becomes more complicated when considering the relationship between fault rate, temperature (i.e., thermal effects), cosmic ray radiations and energy management techniques.

This project undertakes a comprehensive study of the interplay between energy management and transient fault recovery in real-time embedded systems. First, a generalized transient fault model for DVFS-enabled systems is being developed that considers the effects of radiation, temperature and electromagnetic interference. Second, focusing on operating system level algorithms and tools, the project is developing an integrated, reliability-aware power management framework for different types of embedded and real-time systems. The framework enables a trade-off analysis for energy savings and aggregate reliability to be carried out. Adaptive schemes that dynamically improve the system performance by monitoring system's execution at run-time are also investigated.



Publications:

  • Journal Articles
    • Xuan Qi, Dakai Zhu and Hakan Aydin, Global Scheduling Based Reliability-Aware Power Management for Multiprocessor Real-Time Systems, Real-Time Systems: The International Journal of Time-Critical Computing Systems, Special Issue on Energy Aware Real-Time Systems, vol. 47, no. 2, pp. 109-142 March, 2011 [DOI: 10.1007/s11241-011-9117-x]
    • Baoxian Zhao, Hakan Aydin and Dakai Zhu, On Maximizing Reliability of Real-Time Embedded Applications under Hard Energy Constraint, IEEE Transactions on Industrial Informatics, vol. 6, no. 3, pp. 316 - 328, Aug. 2010 [DOI: 10.1109/TII.2010.2051970]
    • Dakai Zhu and Hakan Aydin, Reliability-Aware Energy Management for Periodic Real-Time Tasks, IEEE Transactions on Computers, vol. 58, no. 10, pp. 1382 - 1397, Oct. 2009 [DOI: 10.1109/TC.2009.56
    • Dakai Zhu, Rami Melhem and Daniel Mosse, Energy Efficient Redundant Configurations for Real-Time Parallel Reliable Servers. Real-Time Systems: The International Journal of Time-Critical Computing Systems, vol. 41, no. 3, pp. 195 - 221, April, 2009 [DOI:10.1007/s11241-009-9067-8]
  • Conference Papers
  • Technical Reports
    • Xuan Qi, Dakai Zhu and Hakan Aydin, Global Scheduling Based Reliability-Aware Power Management for Multiprocessor Real-Time Systems, CS-TR-2010-014, Department of Computer Science, University of Texas at San Antonio, Sept. 2010
    • Xuan Qi and Dakai Zhu, Energy Efficient Block-Partitioned Multicore Processors for Parallel Applications, CS-TR-2010-009, Department of Computer Science, University of Texas at San Antonio, Jul. 2010

    • Dakai Zhu and Hakan Aydin (GMU), Reliability-Aware Energy Management for Periodic Real-Time Tasks , CS-TR-2008-005, Department of Computer Science, University of Texas at San Antonio, Mar. 2008
  • Dissertation and Thesis
    • Xuan Qi, PhD Dissertation: "Scheduling for Energy and Reliability Management on Multiprocessor Real-Time Systems", The University of Texas at San Antonio, May 2011
    • Nirali Patel, Master Thesis: "Fixed-Priority Based Reliability Aware Energy Management for Periodic Real-Time Tasks", The University of Texas at San Antonio, December 2007 


Last Updated: 12/19/2011