Paper Info
Title
Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication
Abstract
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.
Year
DOI
Venue
2020
10.1145/3401025.3404098
DEBS '20: The 14th ACM International Conference on Distributed and Event-based Systems Montreal Quebec Canada July, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-8028-7
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Göttel Christian100.34
Nielsen Lars200.34
Yazdani Niloofar300.34
Pascal Felber42432178.76
Daniel E. Lucani523642.29
Valerio Schiavoni623528.37