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An evaluation of service discovery protocols in the internet of things

Authors:

Christian Cabrera,

Siobhán ClarkeAuthors Info & Claims

SAC '17: Proceedings of the Symposium on Applied Computing

Pages 469 - 476

https://doi.org/10.1145/3019612.3019698

Published: 03 April 2017 Publication History

Abstract

The IoT environment surfaces challenging requirements for service discovery, such as: services heterogeneity, mobility, scalability, security, QoS support and context management. Different protocols have been proposed to facilitate service discovery, but it is difficult to assess how well these protocols meet the IoT requirements. This paper presents an evaluation of commonly used service discovery protocols for the IoT, CoAP-SD, DNS-SD, mDNS-SD, and DDS-SD, performed against both qualitative and quantitative metrics, on a physical experimental setup. The results show the limitations and strengths of the protocols, and future research directions are discussed.

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Cited By

Vaidhyanathan KCaporuscio MFlorio SMuccini HHong JPark J(2024)ML-enabled Service Discovery for Microservice Architecture: a QoS ApproachProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635942(1193-1200)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3605098.3635942
Perez BArguello CPierson TMazzaro GKotz D(2023)Evaluating the practical range of harmonic radar to detect smart electronicsMILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)10.1109/MILCOM58377.2023.10356371(528-535)Online publication date: 30-Oct-2023
https://doi.org/10.1109/MILCOM58377.2023.10356371
Heidari SAzizi S(2023)Heterogeneity-aware Load Balancing in Serverless Computing Environments2023 7th International Conference on Internet of Things and Applications (IoT)10.1109/IoT60973.2023.10365354(1-7)Online publication date: 25-Oct-2023
https://doi.org/10.1109/IoT60973.2023.10365354
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Index Terms

An evaluation of service discovery protocols in the internet of things
1. Information systems
  1. Information retrieval
    1. Search engine architectures and scalability
      1. Distributed retrieval
  2. World Wide Web
    1. Web services
      1. Service discovery and interfaces

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Published In

cover image ACM Conferences

SAC '17: Proceedings of the Symposium on Applied Computing

April 2017

2004 pages

ISBN:9781450344869

DOI:10.1145/3019612

Conference Chair:
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Dongwan Shin
New Mexico Tech
,
Maria Lencastre
University of Pernambuco, Brazil

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 April 2017

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April 3 - 7, 2017

Marrakech, Morocco

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Vaidhyanathan KCaporuscio MFlorio SMuccini HHong JPark J(2024)ML-enabled Service Discovery for Microservice Architecture: a QoS ApproachProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635942(1193-1200)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3605098.3635942
Perez BArguello CPierson TMazzaro GKotz D(2023)Evaluating the practical range of harmonic radar to detect smart electronicsMILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)10.1109/MILCOM58377.2023.10356371(528-535)Online publication date: 30-Oct-2023
https://doi.org/10.1109/MILCOM58377.2023.10356371
Heidari SAzizi S(2023)Heterogeneity-aware Load Balancing in Serverless Computing Environments2023 7th International Conference on Internet of Things and Applications (IoT)10.1109/IoT60973.2023.10365354(1-7)Online publication date: 25-Oct-2023
https://doi.org/10.1109/IoT60973.2023.10365354
Perez BPierson TMazzaro GKotz D(2023)Identification and Classification of Electronic Devices Using Harmonic Radar2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00050(248-255)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00050
Perez BMazzaro GPierson TKotz D(2022)Detecting the Presence of Electronic Devices in Smart Homes Using Harmonic Radar TechnologyRemote Sensing10.3390/rs1402032714:2(327)Online publication date: 11-Jan-2022
https://doi.org/10.3390/rs14020327
Cabrera CClarke S(2022)A Self-Adaptive Service Discovery Model for Smart CitiesIEEE Transactions on Services Computing10.1109/TSC.2019.294435615:1(386-399)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TSC.2019.2944356
Zorgati HDjemaa RAmor I(2022)Finding Internet of Things resourcesData & Knowledge Engineering10.1016/j.datak.2022.102025140:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.datak.2022.102025
Daversin-Catty CRichardson CEllingsrud ARognes M(2021)Abstractions and Automated Algorithms for Mixed Domain Finite Element MethodsACM Transactions on Mathematical Software10.1145/347113847:4(1-36)Online publication date: 28-Sep-2021
https://dl.acm.org/doi/10.1145/3471138
Dantas PMaia JViana WPereira Ada Rocha L(2021)Point and Control it!Proceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479629(153-160)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3470482.3479629
Cabrera CClarke S(2021)A Reinforcement Learning-Based Service Model for the Internet of ThingsService-Oriented Computing10.1007/978-3-030-91431-8_56(790-799)Online publication date: 18-Nov-2021
https://doi.org/10.1007/978-3-030-91431-8_56
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