Pulsar: Enabling Dynamic Data-Driven IoT Applications

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 Puls...

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Bibliographic Details
Published in2017 IEEE 2nd International Workshops on Foundations and Applications of Self Systems (FASW) pp. 357 - 359
Main Authors Renart, Eduard, Balouek-Thomert, Daniel, Parashar, Manish
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
Conferences
Engines
Real-time systems
Research and development
Scalability
Semantics
Uncertainty
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Summary: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.
DOI:10.1109/FAS-W.2017.173