An increasing number of IoT devices are being introduced to the market in many industries, and the number of devices is expected to exceed billions in the near future. With this trend, many researchers have proposed new architectures to manage IoT devices, but the proposed architecture requires a huge memory footprint and computation overheads to look-up billions of devices. This paper proposes a hybrid hashing architecture called H- TLA to solve the problem from an architectural point of view, instead of modifying a hashing algorithm or designing a new one. We implemented a prototype system that shows about a 30% increase in performance while conserving uniformity. Therefore, we show an efficient architecture-level approach for addressing billions of devices.
Sangwon SEO
KAIST
Sangbae YUN
Pinplay
Jaehong KIM
KAIST
Inkyo KIM
Samsung Electronics
Seongwook JIN
KIWI PLUS
Seungryoul MAENG
KAIST
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Sangwon SEO, Sangbae YUN, Jaehong KIM, Inkyo KIM, Seongwook JIN, Seungryoul MAENG, "H-TLA: Hybrid-Based and Two-Level Addressing Architecture for IoT Devices and Services" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 8, pp. 1911-1915, August 2020, doi: 10.1587/transinf.2020EDL8027.
Abstract: An increasing number of IoT devices are being introduced to the market in many industries, and the number of devices is expected to exceed billions in the near future. With this trend, many researchers have proposed new architectures to manage IoT devices, but the proposed architecture requires a huge memory footprint and computation overheads to look-up billions of devices. This paper proposes a hybrid hashing architecture called H- TLA to solve the problem from an architectural point of view, instead of modifying a hashing algorithm or designing a new one. We implemented a prototype system that shows about a 30% increase in performance while conserving uniformity. Therefore, we show an efficient architecture-level approach for addressing billions of devices.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8027/_p
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@ARTICLE{e103-d_8_1911,
author={Sangwon SEO, Sangbae YUN, Jaehong KIM, Inkyo KIM, Seongwook JIN, Seungryoul MAENG, },
journal={IEICE TRANSACTIONS on Information},
title={H-TLA: Hybrid-Based and Two-Level Addressing Architecture for IoT Devices and Services},
year={2020},
volume={E103-D},
number={8},
pages={1911-1915},
abstract={An increasing number of IoT devices are being introduced to the market in many industries, and the number of devices is expected to exceed billions in the near future. With this trend, many researchers have proposed new architectures to manage IoT devices, but the proposed architecture requires a huge memory footprint and computation overheads to look-up billions of devices. This paper proposes a hybrid hashing architecture called H- TLA to solve the problem from an architectural point of view, instead of modifying a hashing algorithm or designing a new one. We implemented a prototype system that shows about a 30% increase in performance while conserving uniformity. Therefore, we show an efficient architecture-level approach for addressing billions of devices.},
keywords={},
doi={10.1587/transinf.2020EDL8027},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - H-TLA: Hybrid-Based and Two-Level Addressing Architecture for IoT Devices and Services
T2 - IEICE TRANSACTIONS on Information
SP - 1911
EP - 1915
AU - Sangwon SEO
AU - Sangbae YUN
AU - Jaehong KIM
AU - Inkyo KIM
AU - Seongwook JIN
AU - Seungryoul MAENG
PY - 2020
DO - 10.1587/transinf.2020EDL8027
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2020
AB - An increasing number of IoT devices are being introduced to the market in many industries, and the number of devices is expected to exceed billions in the near future. With this trend, many researchers have proposed new architectures to manage IoT devices, but the proposed architecture requires a huge memory footprint and computation overheads to look-up billions of devices. This paper proposes a hybrid hashing architecture called H- TLA to solve the problem from an architectural point of view, instead of modifying a hashing algorithm or designing a new one. We implemented a prototype system that shows about a 30% increase in performance while conserving uniformity. Therefore, we show an efficient architecture-level approach for addressing billions of devices.
ER -