Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication

TY - GEN

T1 - Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication

AU - Göttel, Christian

AU - Nielsen, Lars

AU - Yazdani, Niloofar

AU - Felber, Pascal

AU - Lucani Rötter, Daniel Enrique

AU - Schiavoni, Valerio

N1 - Conference code: 14

PY - 2020

Y1 - 2020

N2 - The Internet of Things (IoT) is connecting a massive number of devices that generate a growing amount of data to be transmitted over the network. This traffic growth is expected to continue. Generalized deduplication (GD) is a novel technique to effectively compress the data to (a) reduce the data storage cost by identifying similar data chunks, and (b) reduce the pressure on the network infrastructure. This paper presents Hermes, an application-level protocol for the data-plane that can operate using GD as well as classic deduplication. Hermes significantly reduces the data transmission traffic while effectively decreasing the energy footprint, a key goal in many IoT deployments. We fully implemented Hermes, evaluated its performance using consumer-grade IoT devices (e.g., Raspberry Pi 4B), and highlighted key tradeoffs to be considered to manage real-world workloads. Several fold to several order of magnitude gains over standard compressors and deduplication are achievable.

AB - The Internet of Things (IoT) is connecting a massive number of devices that generate a growing amount of data to be transmitted over the network. This traffic growth is expected to continue. Generalized deduplication (GD) is a novel technique to effectively compress the data to (a) reduce the data storage cost by identifying similar data chunks, and (b) reduce the pressure on the network infrastructure. This paper presents Hermes, an application-level protocol for the data-plane that can operate using GD as well as classic deduplication. Hermes significantly reduces the data transmission traffic while effectively decreasing the energy footprint, a key goal in many IoT deployments. We fully implemented Hermes, evaluated its performance using consumer-grade IoT devices (e.g., Raspberry Pi 4B), and highlighted key tradeoffs to be considered to manage real-world workloads. Several fold to several order of magnitude gains over standard compressors and deduplication are achievable.

KW - IoT

KW - energy efficiency

KW - generalized deduplication

UR - http://www.scopus.com/inward/record.url?scp=85089266339&partnerID=8YFLogxK

U2 - 10.1145/3401025.3404098

DO - 10.1145/3401025.3404098

M3 - Article in proceedings

SN - 978-1-4503-8028-7

SP - 133

EP - 136

BT - DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems

PB - Association for Computing Machinery

CY - New York

T2 - 14th ACM International Conference on Distributed and Event-based Systems

Y2 - 13 July 2020 through 17 July 2020

ER -