Measurement and modeling of computer reliability as affected by system activity
ACM Transactions on Computer Systems (TOCS)
Fault-tolerant computing: theory and techniques; vol. 1
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JouleTrack: a web based tool for software energy profiling
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ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Real-time dynamic voltage scaling for low-power embedded operating systems
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Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
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A Time Redundancy Approach to TMR Failures Using Fault-State Likelihoods
IEEE Transactions on Computers
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
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Power aware computing
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Energy efficient CMOS microprocessor design
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Practical Voltage-Scaling for Fixed-Priority RT-Systems
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RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
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Energy Aware Scheduling for Distributed Real-Time Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
FAST: Frequency-Aware Static Timing Analysis
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
The Interplay of Power Management and Fault Recovery in Real-Time Systems
IEEE Transactions on Computers
Task Feasibility Analysis and Dynamic Voltage Scaling in Fault-Tolerant Real-Time Embedded Systems
Proceedings of the conference on Design, automation and test in Europe - Volume 2
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ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
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DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
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LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
IEEE Transactions on Parallel and Distributed Systems
Energy efficient SEU-tolerance in DVS-enabled real-time systems through information redundancy
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
The effects of energy management on reliability in real-time embedded systems
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Power minimization techniques on distributed real-time systems by global and local slack management
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
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Energy-Efficient Real-Time Heterogeneous Server Clusters
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RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Energy management for real-time embedded systems with reliability requirements
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Reliability-Aware Energy Management for Periodic Real-Time Tasks
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Scheduling for reduced CPU energy
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Derivation and Calibration of a Transient Error Reliability Model
IEEE Transactions on Computers
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Energy Management for Periodic Real-Time Tasks with Variable Assurance Requirements
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Modular redundancy and temporal redundancy are traditional techniques to increase system reliability. In addition to being used as temporal redundancy, with technology advancements, slack time in a system can also be used by energy management schemes to save energy. In this paper, we consider the combination of modular and temporal redundancy to achieve energy efficient reliable real-time service provided by multiple servers. We first propose an efficient adaptive parallel recovery scheme that appropriately processes service requests in parallel to increase the number of faults that can be tolerated and thus system reliability. Then we explore schemes to determine the optimal redundant configurations of the parallel servers to minimize system energy consumption for a given reliability goal or to maximize system reliability for a given energy budget. Our analysis results show that small requests, optimistic approaches, and parallel recovery favor lower levels of modular redundancy, while large requests, pessimistic approaches and restricted serial recovery favor higher levels of modular redundancy.