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Aging-Aware Power Management in Heterogeneous Fault-Tolerant Embedded Systems

Yari Karin, Sina | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53756 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Ejlali, Alireza
  7. Abstract:
  8. High reliability and low power consumption are two crucial requirements of embedded systems. To do this, embedded systems exploit fault-tolerant techniques to keep reliability at a guaranteed level and power management methods to reduce power consumption. However, the inherent redundancy of the fault-tolerant techniques increases the power consumption and, consequently, the system temperature, which leads to an increase in the rate of the aging phenomenon. Power management methods increase the system's lifetime by reducing the system temperature. However, some power management methods (e.g., Dynamic Voltage and Frequency Scaling) increase the fault rate. Recently, heterogeneous multicore systems provide an effective solution to manage embedded systems requirements. Using the heterogeneous platform is an appropriate solution for low power consumption and reliability enhancement. In the heterogeneous platforms, the simultaneous use of high-performance and low-power cores had attracted much attention. High-performance cores improve reliability and performance with their faster speeds, and the low-power cores reduce power consumption. However, the applications' execution, especially real-time applications, is more complicated than homogeneous systems due to different core types in the heterogeneous systems. In this research, an intelligent standby-sparing technique for heterogeneous systems is presented, which, with the knowledge of the system's aging, maintains reliability at a guaranteed level and selects the appropriate core type for the tasks' execution while considering the core-level power and timing constraints. Experimental evaluations show the proposed method reduces the average power consumption on average by 34.54% (up to 53.48%). Also, aging awareness with the proposed method can reduce the frequency reduction by an average of 10.76% (up to 17.34%)
  9. Keywords:
  10. Embedded System ; Heterogeneous Multicors ; Standby Sparing ; Power Management ; Aging ; Fault Tolerance ; Power Reduction

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