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DyMeLoR: Dynamic Memory Logger and Restorer Library for Optimistic Simulation Objects with Generic Memory Layout
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Source Workshop on Parallel and Distributed Simulation archive
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation table of contents
Pages 163-172  
Year of Publication: 2008
ISBN ~ ISSN:1087-4097 , 978-0-7695-3159-5
Authors
Publisher
IEEE Computer Society  Washington, DC, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 24,   Citation Count: 2
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DOI Bookmark: 10.1109/PADS.2008.23

ABSTRACT

In this article we focus on checkpoint/restore facilities for optimistic simulation objects with generic memory layout. Specifically, we present the design and implementation of a {\tt C} library, named DyMeLoR (Dynamic Memory Logger and Restorer), that, beyond offering traditional services for dynamic memory allocation/release, additionally supports transparent checkpoint/restore of scattered simulation objects' states. DyMeLoR is well suited for being integrated within optimistic simulation platforms relying on kernel processes, each managing one or more simulation objects, as typical in most implementations of general purpose optimistic simulation platforms. From the point of view of efficiency, DyMeLoR has been designed in order to minimize memory consumption for meta-data describing the current layout of the simulation object's state, and to provide good trade-offs between the cost of meta-data manipulation and the cost of memory-to-memory data copies associated with checkpoint/restore tasks. Also, the library exhibits Piece-Wise-Deterministic (PWD) behavior, thus allowing the employment of (optimized) sparse checkpointing strategies each timethe overlying application software complies with the PWD assumption. We also report the results of an experimental study where DyMeLoR is integrated within the ROme OpTimistic Simulator (ROOT-Sim), and is used to support optimistic simulation of a cellular system.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Roberto Toccaceli: colleagues
Francesco Quaglia: colleagues