QoS-Driven Data Processing Algorithms for Smart Electric Grids
| Autor: | Rajeev Gupta, Krithi Ramamritham, Kedar Khandeparkar |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Data processing
Control and Optimization Computer Networks and Communications Computer science Network packet 020209 energy Distributed computing Quality of service Testbed Real-time computing Phasor 02 engineering and technology Grid Human-Computer Interaction Units of measurement Smart grid Artificial Intelligence Hardware and Architecture 020204 information systems 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | ACM Transactions on Cyber-Physical Systems. 1:1-24 |
| ISSN: | 2378-9638 2378-962X |
| DOI: | 10.1145/3047410 |
| Popis: | Smart-grid applications have widely varying data needs as well as bandwidth and latency requirements. The usual approach to accumulating the available data (e.g., from Phasor Measurement Units) at a centralized site and executing all the applications there leads to large network latencies. This article proposes techniques where data packets are prioritized and disseminated based on applications’ data needs and semantics. In particular, these techniques systematically exploit in-network processing capability and filter data in the dissemination network. This filtered data is assigned higher priority compared to the raw unfiltered data—helping meet QoS requirements of various applications. Performance evaluation of our distributed techniques over a testbed designed for the Indian electric grid demonstrates that processing latency for various smart grid applications reduces by at least 50% for large PMU data sizes, compared to the traditional centralized approach. |
| Databáze: | OpenAIRE |
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