Data Freshness in Mixed-Memory Intermittently-Powered Systems
Autor: | Przemyslaw Pawelczak, James Scott Broadhead |
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Rok vydání: | 2021 |
Předmět: |
FOS: Computer and information sciences
Scheme (programming language) Information Age Computer science Computer Science - Information Theory Information Theory (cs.IT) Real-time computing 020206 networking & telecommunications Fault tolerance 02 engineering and technology Non-volatile memory Data integrity Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Key (cryptography) Resilience (network) computer H.1.1 computer.programming_language |
Zdroj: | ISIT IEEE International Symposium on Information Theory (ISIT 2021) |
Popis: | Age of Information (AoI) is a key metric to understand data freshness in Internet of Things (IoT) devices. In this paper we analyse an intermittently-powered IoT sensor - with mixed-memory (volatile and non-volatile) architecture - that uses a Time-Dependent Checkpointing (TDC) scheme. We derive the average Peak Age of Information (PAoI) and average AoI of the system, and use these metrics to understand which device parameters most significantly influence performance. We go on to consider how the average PAoI of a mixed-memory system compares with entirely volatile or entirely non-volatile architecture, and also introduce an alternative TDC strategy to improve system resilience in unpredictable environmental conditions. Comment: 6 pages, 5 figures, for associated files please see https://github.com/TUDSSL/intermittency-aoi |
Databáze: | OpenAIRE |
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