Pulsar: Enabling Dynamic Data-Driven IoT Applications

Eduard Renart, Daniel Balouek-Thomert, Manish Parashar

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

3 Scopus citations

Abstract

The proliferation of Internet of Things (IoT) devices and associated data streams, are en-Abling a new class of dynamic data driven applications. However, processing this data in an robust, effective and timely manner can be nontrivial and presents a new set of challenges. This paper introduces Pulsar, a data-driven framework that leverages edge resources to support location and content aware processing of data streams. In this paper we present two motivating application use cases and their requirements, and then describe Pulsar, its architecture and operation. We conclude the paper with a discussion of the status of the Pulsar framework and current and planned research and development activities.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages357-359
Number of pages3
ISBN (Electronic)9781509065585
DOIs
StatePublished - Oct 9 2017
Event2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 - Tucson, United States
Duration: Sep 18 2017Sep 22 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017

Other

Other2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
CountryUnited States
CityTucson
Period9/18/179/22/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Computational Mechanics

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