Fast and Energy-Efficient State Checkpointing for Intermittent Computing
Author(s) -
Saad Ahmed,
Naveed Anwar Bhatti,
Muhammad Hamad Alizai,
Junaid Haroon Siddiqui,
Luca Mottola
Publication year - 2020
Publication title -
acm transactions on embedded computing systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.435
H-Index - 56
eISSN - 1558-3465
pISSN - 1539-9087
DOI - 10.1145/3391903
Subject(s) - computer science , dice , overhead (engineering) , programmer , workload , code (set theory) , embedded system , software , state (computer science) , energy (signal processing) , real time computing , operating system , algorithm , set (abstract data type) , programming language , statistics , geometry , mathematics
Intermittently powered embedded devices ensure forward progress of programs through state checkpointing in non-volatile memory. Checkpointing is, however, expensive in energy and adds to the execution times. To minimize this overhead, we present DICE, a system that renders differential checkpointing profitable on these devices. DICE is unique because it is a software-only technique and efficient because it only operates in volatile main memory to evaluate the differential. DICE may be integrated with reactive (Hibernus) or proactive (MementOS, HarvOS) checkpointing systems, and arbitrary code can be enabled with DICE using automatic code-instrumentation requiring no additional programmer effort. By reducing the cost of checkpoints, DICE cuts the peak energy demand of these devices, allowing operation with energy buffers that are one-eighth of the size originally required, thus leading to benefits such as smaller device footprints and faster recharging to operational voltage level. The impact on final performance is striking: with DICE, Hibernus requires one order of magnitude fewer checkpoints and one order of magnitude shorter time to complete a workload in real-world settings.
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