HYDRO: Hybrid Orchestration of In-Network Computations for the Internet of Things

Uthra Ambalavanan, Dennis Grewe, Naresh Nayak, Joerg Ott

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

For some of the Internet-of-Things (IoT) applications, there is a need for processing huge amounts of data stemming from the network edge in near real-time manner. To this end several in-network computation frameworks have been developed which deploy functions in the computing infrastructure from the edge to the cloud. Some of these frameworks take a centralized approach to the orchestration problem with a central entity making deployment decisions of the functions. Others decentralize such decisions. In this paper, we present HYdrO, which is a hybrid approach to orchestration of functions, i.e., a centralized instance gathers the state of the network and provides hints to the individual computing nodes for an efficient resolution of computation requests. We show with a concrete example of Named Function Networking (NFN), a computing framework based on Information Centric Networking, that HYdrO can improve completion times of requests and distribute the load of the infrastructure.

Original languageEnglish
Title of host publication11th International Conference on the Internet of Things, IoT 2021 - Conference Proceedings
PublisherAssociation for Computing Machinery
Pages64-71
Number of pages8
ISBN (Electronic)9781450385664
DOIs
StatePublished - 8 Nov 2021
Event11th International Conference on the Internet of Things, IoT 2021 - Virtual, Online, Switzerland
Duration: 8 Nov 202111 Nov 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th International Conference on the Internet of Things, IoT 2021
Country/TerritorySwitzerland
CityVirtual, Online
Period8/11/2111/11/21

Keywords

  • Hybrid Orchestration
  • In-Network Computing
  • Information Centric Networking
  • Named Function Networking

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