Practical continuous aggregation in wireless edge environments

Pedro Ákos Costa, João Leitão

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The edge computing paradigm brings the promise of overcoming the practical scalability limitations of cloud computing, that are a result of the high volume of data produced by Internet of Things (IoT) and other large-scale applications. The principle of edge computing is to move computations beyond the data center, closer to end-user devices where data is generated and consumed. This new paradigm creates the opportunity for edge-enabled systems and applications, that have components executing directly and cooperatively on edge devices. Having systems' components, actively and directly, collaborating in the edge, requires some form of distributed monitoring as to adapt to variable operational conditions. Monitoring requires efficient ways to aggregate information collected from multiple devices. In particular, and considering some IoT applications, monitoring will happen among devices that communicate primarily via wireless channels. In this paper we study the practical performance of several distributed continuous aggregation protocols in the wireless ad hoc setting, and propose a novel protocol that is more precise and robust than competing alternative.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 37th Symposium on Reliable Distributed Systems, SRDS 2018
PublisherIEEE Computer Society
Pages41-50
Number of pages10
Volume2019-October
ISBN (Electronic)9781538683019
DOIs
Publication statusPublished - 15 Jan 2019
Event37th Symposium on Reliable Distributed Systems, SRDS 2018 - Salvador, Brazil
Duration: 2 Oct 20185 Oct 2018

Publication series

NameSymposium on Reliable Distributed Systems Proceedings
PublisherIEEE Computer Society
ISSN (Print)1060-9857

Conference

Conference37th Symposium on Reliable Distributed Systems, SRDS 2018
CountryBrazil
CitySalvador
Period2/10/185/10/18

Keywords

  • Aggregation Protocols
  • Distributed Fault-Tolerant Protocols
  • Edge Computing
  • Wireless ad hoc

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