Crystal-ball and magic wand combined: predicting situations and making them happen

Arkady Zaslavsky, Ali Hassani, Pari Delir Haghighi, Antonio Robles-Kelly, Panos K. Chrysanthis

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

Abstract

The Internet of Things (IoT) envisions an ecosystem in which everyday objects are enhanced with sensing, computation, and communication capabilities. These ‘smart’ devices (i.e., IoT devices) can sense and collect considerable amounts of data and share it with each other via the Internet. This paper proposes an IoT middleware platform enhanced with context- and situation-prediction capability, called Context-Prediction-as-a-Service (CPaaS). CPaaS offers real-time context prediction capabilities to a variety of IoT applications as a service and enables more effective decision support using relevant validated dependable information. A number of use cases where CPaaS can be deployed are also discussed.

Original languageEnglish
Title of host publicationDistributed Computer and Communication Networks
Subtitle of host publication23rd International Conference, DCCN 2020 Moscow, Russia, September 14–18, 2020 Revised Selected Papers
EditorsVladimir M. Vishnevskiy, Konstantin E. Samouylov, Dmitry V. Kozyrev
Place of PublicationCham Switzerland
PublisherSpringer
Pages683-697
Number of pages15
ISBN (Electronic)9783030664718
ISBN (Print)9783030664701
DOIs
Publication statusPublished - 2020
EventInternational Conference on Distributed Computer and Communication Networks 2020 - Virtual, Moscow, Russian Federation
Duration: 14 Sep 202018 Sep 2020
Conference number: 23rd
https://link.springer.com/book/10.1007/978-3-030-66471-8 (Proceedings)
https://2020.dccn.ru/ (Website)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12563
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Distributed Computer and Communication Networks 2020
Abbreviated titleDCCN 2020
Country/TerritoryRussian Federation
CityMoscow
Period14/09/2018/09/20
Internet address

Keywords

  • Context
  • Context prediction
  • Distributed context management platform
  • IoT
  • Situational awareness

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