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Efficient intermittent computing with differential checkpointing
Lahore University of Management Sciences, Pakistan .
RISE - Research Institutes of Sweden, ICT, SICS.
Lahore University of Management Sciences, Pakistan .
Lahore University of Management Sciences, Pakistan .
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2019 (English)In: Proceedings of the ACM SIGPLAN Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), Association for Computing Machinery , 2019, p. 70-81Conference paper, Published paper (Refereed)
Abstract [en]

Embedded devices running on ambient energy perform computations intermittently, depending upon energy availability. System support ensures forward progress of programs through state checkpointing in non-volatile memory. Checkpointing is, however, expensive in energy and adds to execution times. To reduce this overhead, we present DICE, a system design that efficiently achieves differential checkpointing in intermittent computing. Distinctive traits of DICE are its software-only nature and its ability to only operate in volatile main memory to determine differentials. DICE works with arbitrary programs using automatic code instrumentation, thus requiring no programmer intervention, and can be integrated with both reactive (Hibernus) or proactive (MementOS, HarvOS) checkpointing systems. By reducing the cost of checkpoints, performance markedly improves. For example, using DICE, Hibernus requires one order of magnitude shorter time to complete a fixed workload in real-world settings.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2019. p. 70-81
Keywords [en]
Differential checkpointing, Intermittent computing, Transiently powered computers, Cost reduction, Digital storage, Program compilers, Automatic codes, Check pointing, Embedded device, Energy availability, Non-volatile memory, Real world setting, System supports, Embedded systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-40823DOI: 10.1145/3316482.3326357Scopus ID: 2-s2.0-85070981444ISBN: 9781450367240 (print)OAI: oai:DiVA.org:ri-40823DiVA, id: diva2:1372650
Conference
20th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, LCTES 2019, co-located with PLDI 2019, 23 June 2019
Available from: 2019-11-25 Created: 2019-11-25 Last updated: 2019-11-25Bibliographically approved

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Mottola, Luca

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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