Mitigating Self-Heating in Solid State Drives for Industrial Internet-of-Things Edge Gateways
| Autor: | Cristian Zambelli, Rino Micheloni, Luca Crippa, Lorenzo Zuolo, Piero Olivo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
throttling
IoT solid state drives Computer Networks and Communications Computer science Reliability (computer networking) lcsh:TK7800-8360 02 engineering and technology 01 natural sciences NO Default gateway 0103 physical sciences 0202 electrical engineering electronic engineering information engineering PE7_2 IIoT Electrical and Electronic Engineering 010302 applied physics Queue management system business.industry 020208 electrical & electronic engineering lcsh:Electronics IOPS power consumption Reliability engineering Hardware and Architecture Control and Systems Engineering 3D NAND Flash Signal Processing Computer data storage Performance Power consumption Solid state drives Throttling Enhanced Data Rates for GSM Evolution business Host (network) performance |
| Zdroj: | Electronics, Vol 9, Iss 1179, p 1179 (2020) Electronics Volume 9 Issue 7 |
| ISSN: | 2079-9292 |
| Popis: | Data storage in the Industrial Internet-of-Things scenario presents critical aspects related to the necessity of bringing storage devices closer to the point where data are captured. Concerns on storage temperature are to be considered especially when Solid State Drives (SSD) based on 3D NAND Flash technology are part of edge gateway architectures. Indeed, self-heating effects caused by oppressive storage demands combined with harsh environmental conditions call for proper handling at multiple abstraction levels to minimize severe performance slow downs and reliability threats. In this work, with the help of a SSD co-simulation environment that is stimulated within a realistic Industrial Internet-of-Things (IIoT) workload, we explore a methodology orthogonal to performance throttling that can be applied in synergy with the operating system of the host. Results evidenced that by leveraging on the SSD micro-architectural parameters of the queuing system it is possible to reduce the Input/Output operations Per Second (IOPS) penalty due to temperature protection mechanisms with minimum effort by the system. The methodology presented in this work opens further optimization tasks and algorithmic refinements for SSD and system designers not only in the IIoT market segment, but generally in all areas where storage power consumption is a concern. |
| Databáze: | OpenAIRE |
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