Author | Conference | Journal | Organization | Year | DOI
Look for results that meet for the following criteria:
Academic
Publications
Leakage Aware Scheduling on Maximum Temperature Minimization for Periodic Hard Real-Time Systems

Leakage Aware Scheduling on Maximum Temperature Minimization for Periodic Hard Real-Time Systems,10.1109/CIT.2010.312,Vivek Chaturvedi,Huang Huang,Gan

Edit
Leakage Aware Scheduling on Maximum Temperature Minimization for Periodic Hard Real-Time Systems   (Citations: 4)
BibTex | RIS | RefWorks Download
Thermal management is becoming a critical issue in computing system design as the processor power continues to grow exponentially. Since high power consumption leads to high temperature, and high temperature in turn dramatically increases the leakage power consumption, a thermal management technique becomes ineffective if this temperature/leakage relation is not properly addressed in the deep sub-micron domain. This paper incorporates the leakage/temperature dependency into real-time scheduling analysis and presents a novel real-time scheduling method that can reduce the peak temperature when scheduling a hard real-time periodic task set. We formally prove the correctness of the proposed algorithm based on a processor model that can effectively account for the leakage/temperature relationship. The experimental results validate the assumptions of our scheduling method and also demonstrate its effectiveness in terms of feasibility improvement and peak temperature reduction.
Conference: Conference on Computer and Information Technology - IEEECIT , pp. 1802-1809, 2010
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
    • ...Chaturvedi et al. developed [24] a socalled “m-oscillating” scheduling method to minimize the peak temperature for a periodic task set...

    Vivek Chaturvedi, et al. Leakage conscious DVS scheduling for peak temperature minimization

    • ...Second, on this practical platform we have compared two different speed scheduling techniques, namely m-oscillation schedule [12] and a traditional schedule which is optimum in reducing the dynamic energy of the system [32], to validate their effectiveness in reducing the peak temperature of the system...
    • ...Using this practical model Chaturvedi et al. developed [12] a socalled “m-oscillating” scheduling method to minimize the peak temperature for a periodic task set...
    • ...Therefore, in this paper, we have compared the m-oscillation schedule [12], with a traditional constant speed schedule on a practical simulation platform that uses an industry-standardized benchmark as input...
    • ...In m-oscillation schedule [12], we use the similar concept and uses the two neighboring speeds but oscillates the execution of job among the two speed levels in smaller intervals and complete the same workload within the deadline of the task, such that the temperature of the system can be reduced...

    Vivek Chaturvedi, et al. Validation of scheduling techniques to reduce peak temperature on an a...

    • ...In contrast, we employ the same principle as implied in the m-oscillating approach [4] to sequence tasks and change processor modes within the task execution...

    Huang Huang, et al. Throughput maximization for periodic real-time systems under the maxim...

    • ...[2, 6, 8, 18, 22]) when scheduling a real-time task...
    • ...We further develop a scheduling policy based on the “M-Oscillating” technique [6] to minimize the total energy...
    • ...Thus, the leakage power for the processor running in mode k can be effectively estimated as [6]...
    • ...The third approach, so-called the M-Oscillating approach [6], as illustrated in Figure 1(c), alternates two none-zero speeds (S1 and S2) to execute a task...
    • ...Our scheduling approach is based on the principle of M-Oscillating approach [6], which has shown to be effective in controlling peak temperature...

    Huang Huang, et al. Leakage aware energy minimization for real-time systems under the maxi...

Sort by:

Citations (4)

Share this on