2015 · 14 citations · 31 references
ComputingComputer EngineeringComputer ScienceFault ToleranceFault-tolerant SystemsParallel ComputingError RecoveryRollback RecoverySoftware Fault ToleranceSpeculative ExecutionCheckpointsEvent GranularityReversibilitySpeculative State RecoveryState RecoveryState RestorationUndo LoggingUndo Mechanisms
The rollback operation is a fundamental building block to support the correct execution of a speculative Time Warp-based Parallel Discrete Event Simulation. In the literature, several solutions to reduce the execution cost of this operation have been proposed, either based on the creation of a checkpoint of previous simulation state images, or on the execution of negative copies of simulation events which are able to undo the updates on the state. In this paper, we explore the practical design and implementation of a state recoverability technique which allows to restore a previous simulation state either relying on checkpointing or on the reverse execution of the state updates occurred while processing events in forward mode. Differently from other proposals, we address the issue of executing backward updates in a fully-transparent and event granularity-independent way, by relying on static software instrumentation (targeting the x86 architecture and Linux systems) to generate at runtime reverse update code blocks (not to be confused with reverse events, proper of the reverse computing approach). These are able to undo the effects of a forward execution while minimizing the cost of the undo operation. We also present experimental results related to our implementation, which is released as free software and fully integrated into the open source ROOT-Sim (ROme OpTimistic Simulator) package. The experimental data support the viability and effectiveness of our proposal.
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David Jefferson · ACM Transactions on Programming Languages and Systems · 1985 · 2.4K citations · Full text
Parallel discrete event simulation
Richard M. Fujimoto · Communications of the ACM · 1990 · 1.8K citations · Full text
Vasanth Bala, Evelyn Duesterwald, Sanjeev Banerjia · ACM SIGPLAN Notices · 2011 · 739 citations
LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks
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