With the development of IoT devices and sensors, edge computing is leading towards new services like autonomous cars and smart cities. Low-latency data access is an essential requirement for such services, and a large-capacity cache server is needed on the edge side. However, it is not realistic to build a large capacity cache server using only DRAM because DRAM is expensive and consumes substantially large power. A hybrid main memory system is promising to address this issue, in which main memory consists of DRAM and non-volatile memory. It achieves a large capacity of main memory within the power supply capabilities of current servers. In this paper, we propose Fogcached, that is, the extension of a widely-used KVS (Key-Value Store) server program (i.e., Memcached) to exploit both DRAM and non-volatile main memory (NVMM). We used Intel Optane DCPM as NVMM for its prototype. Fogcached implements a Dual-LRU (Least Recently Used) mechanism that seamlessly extends the memory management of Memcached to hybrid main memory. Fogcached reuses the segmented LRU of Memcached to manage cached objects in DRAM, adds another segmented LRU for those in DCPM and bridges the LRUs by a mechanism to automatically replace cached objects between DRAM and DCPM. Cached objects are autonomously moved between the two memory devices according to their access frequencies. Through experiments, we confirmed that Fogcached improved the peak value of a latency distribution by about 40% compared to Memcached.
Kouki OZAWA
Faculty Engineering Shibaura Institute of Technology
Takahiro HIROFUCHI
National Institute of Advanced Industrial Science and Technology
Ryousei TAKANO
National Institute of Advanced Industrial Science and Technology
Midori SUGAYA
Faculty Engineering Shibaura Institute of Technology
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Kouki OZAWA, Takahiro HIROFUCHI, Ryousei TAKANO, Midori SUGAYA, "Fogcached: A DRAM/NVMM Hybrid KVS Server for Edge Computing" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 12, pp. 2089-2096, December 2021, doi: 10.1587/transinf.2021PAP0003.
Abstract: With the development of IoT devices and sensors, edge computing is leading towards new services like autonomous cars and smart cities. Low-latency data access is an essential requirement for such services, and a large-capacity cache server is needed on the edge side. However, it is not realistic to build a large capacity cache server using only DRAM because DRAM is expensive and consumes substantially large power. A hybrid main memory system is promising to address this issue, in which main memory consists of DRAM and non-volatile memory. It achieves a large capacity of main memory within the power supply capabilities of current servers. In this paper, we propose Fogcached, that is, the extension of a widely-used KVS (Key-Value Store) server program (i.e., Memcached) to exploit both DRAM and non-volatile main memory (NVMM). We used Intel Optane DCPM as NVMM for its prototype. Fogcached implements a Dual-LRU (Least Recently Used) mechanism that seamlessly extends the memory management of Memcached to hybrid main memory. Fogcached reuses the segmented LRU of Memcached to manage cached objects in DRAM, adds another segmented LRU for those in DCPM and bridges the LRUs by a mechanism to automatically replace cached objects between DRAM and DCPM. Cached objects are autonomously moved between the two memory devices according to their access frequencies. Through experiments, we confirmed that Fogcached improved the peak value of a latency distribution by about 40% compared to Memcached.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021PAP0003/_p
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@ARTICLE{e104-d_12_2089,
author={Kouki OZAWA, Takahiro HIROFUCHI, Ryousei TAKANO, Midori SUGAYA, },
journal={IEICE TRANSACTIONS on Information},
title={Fogcached: A DRAM/NVMM Hybrid KVS Server for Edge Computing},
year={2021},
volume={E104-D},
number={12},
pages={2089-2096},
abstract={With the development of IoT devices and sensors, edge computing is leading towards new services like autonomous cars and smart cities. Low-latency data access is an essential requirement for such services, and a large-capacity cache server is needed on the edge side. However, it is not realistic to build a large capacity cache server using only DRAM because DRAM is expensive and consumes substantially large power. A hybrid main memory system is promising to address this issue, in which main memory consists of DRAM and non-volatile memory. It achieves a large capacity of main memory within the power supply capabilities of current servers. In this paper, we propose Fogcached, that is, the extension of a widely-used KVS (Key-Value Store) server program (i.e., Memcached) to exploit both DRAM and non-volatile main memory (NVMM). We used Intel Optane DCPM as NVMM for its prototype. Fogcached implements a Dual-LRU (Least Recently Used) mechanism that seamlessly extends the memory management of Memcached to hybrid main memory. Fogcached reuses the segmented LRU of Memcached to manage cached objects in DRAM, adds another segmented LRU for those in DCPM and bridges the LRUs by a mechanism to automatically replace cached objects between DRAM and DCPM. Cached objects are autonomously moved between the two memory devices according to their access frequencies. Through experiments, we confirmed that Fogcached improved the peak value of a latency distribution by about 40% compared to Memcached.},
keywords={},
doi={10.1587/transinf.2021PAP0003},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - Fogcached: A DRAM/NVMM Hybrid KVS Server for Edge Computing
T2 - IEICE TRANSACTIONS on Information
SP - 2089
EP - 2096
AU - Kouki OZAWA
AU - Takahiro HIROFUCHI
AU - Ryousei TAKANO
AU - Midori SUGAYA
PY - 2021
DO - 10.1587/transinf.2021PAP0003
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2021
AB - With the development of IoT devices and sensors, edge computing is leading towards new services like autonomous cars and smart cities. Low-latency data access is an essential requirement for such services, and a large-capacity cache server is needed on the edge side. However, it is not realistic to build a large capacity cache server using only DRAM because DRAM is expensive and consumes substantially large power. A hybrid main memory system is promising to address this issue, in which main memory consists of DRAM and non-volatile memory. It achieves a large capacity of main memory within the power supply capabilities of current servers. In this paper, we propose Fogcached, that is, the extension of a widely-used KVS (Key-Value Store) server program (i.e., Memcached) to exploit both DRAM and non-volatile main memory (NVMM). We used Intel Optane DCPM as NVMM for its prototype. Fogcached implements a Dual-LRU (Least Recently Used) mechanism that seamlessly extends the memory management of Memcached to hybrid main memory. Fogcached reuses the segmented LRU of Memcached to manage cached objects in DRAM, adds another segmented LRU for those in DCPM and bridges the LRUs by a mechanism to automatically replace cached objects between DRAM and DCPM. Cached objects are autonomously moved between the two memory devices according to their access frequencies. Through experiments, we confirmed that Fogcached improved the peak value of a latency distribution by about 40% compared to Memcached.
ER -