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Energy and Reliability Management in Parallel Real-Time Systems

Zhu, Dakai (2005) Energy and Reliability Management in Parallel Real-Time Systems. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Historically, slack time in real-time systems has been used as temporal redundancy by rollback recovery schemes to increase system reliability in the presence of faults. However, with advancedtechnologies, slack time can also be used by energy management schemes to save energy. For reliable real-time systems where higher levels of reliability are as important as lower levels of energy consumption, centralized management of slack time is desired.For frame-based parallel real-time applications, energy management schemes are first explored. Although the simple static power management that evenly allocates static slack over a schedule isoptimal for uni-processor systems, it is not optimal for parallel systems due to different levels of parallelism in a schedule. Taking parallelism variations into consideration, a parallel static power management scheme is proposed. When dynamic slack is considered,assuming global scheduling strategies, slack shifting and sharing schemes as well as speculation schemes are proposed for moreenergy savings.For simultaneous management of power and reliability, checkpointing techniques are first deployed to efficiently use slack time and theoptimal numbers of checkpoints needed to minimize energy consumption or to maximize system reliability are explored. Then, an energyefficient optimistic modular redundancy scheme is addressed. Finally, a framework that encompasses energy and reliability management isproposed for obtaining optimal redundant configurations. While exploring the trade-off between energy and reliability, the effects ofvoltage scaling on fault rates are considered.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairMelhem, Ramimelhem@cs.pitt.eduMELHEM
Committee CoChairMosse, Danielmosse@cs.pitt.eduMOSSE
Committee MemberChilders, Bruce Rchilders@cs.pitt.eduCHILDERS
Committee MemberRajkumar,
Date: 1 February 2005
Date Type: Completion
Defense Date: 12 November 2004
Approval Date: 1 February 2005
Submission Date: 29 November 2004
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: energy aware computing; fault tolerance; shared memory systems
Other ID:, etd-11292004-171415
Date Deposited: 10 Nov 2011 20:06
Last Modified: 15 Nov 2016 13:52


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