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IEEE International Conference on Consumer Electronics - Berlin, ICCE-BerlinVolume 2019-September, September 2019, Article number 8966229, Pages 380-3849th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2019; Berlin; Germany; 8 September 2019 through 11 September 2019; Category numberCFP19BIC-ART; Code 157121

Health monitoring and auto-scaling rabbitMQ queues within the smart home system(Conference Paper)

  • Matic, M.,
  • Ivanovic, S.,
  • Antic, M.,
  • Papp, I.
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  • aFaculty of Technical Sciences, Novi Sad, Serbia
  • bOBLO Living, Novi Sad, Serbia

Abstract

Smart home solutions rely on their cloud components to provide various administrative functionalities and advanced data processing features, such as alarms, historical data storage, notifications, etc. As the complexity of a cloud system increases, its components need monitoring in order to detect anomalies like system unavailability, unusual load, memory overload, and similar. The monitoring tools collect and store system metrics, which are important not only for anomaly detection, but also for root cause analysis and capacity planing. When an anomaly is detected, an alarm of some sort is typically sent to the system administrator. Usually, human interaction is needed in order to remove the anomaly. In this paper we present a software tool that monitors messages between cloud components of the existing smart home system. This tool aims to provide autonomous reaction of the system to potential problems, and enable auto-scaling, without human interference. © 2019 IEEE.

Author keywords

CloudConsumerIoTPublisherRabbitMQ

Indexed keywords

Engineering controlled terms:Administrative data processingAutomationCloudsData handlingDigital storage
Engineering uncontrolled termsAdvanced data processingConsumerPotential problemsPublisherRabbitMQRoot cause analysisSystem administratorsSystem unavailability
Engineering main heading:Anomaly detection

Funding details

Funding sponsor Funding number Acronym
Ministarstvo Prosvete, Nauke i Tehnološkog RazvojaIII 044009 2MPNTR

  • 1

    ACKNOWLEDGEMENT This work was partially supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, under grant number III 044009 2.

  • ISSN: 21666814
  • ISBN: 978-172812745-3
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1109/ICCE-Berlin47944.2019.8966229
  • Document Type: Conference Paper
  • Volume Editors: Velikic G.,Gross C.
  • Publisher: IEEE Computer Society


© Copyright 2020 Elsevier B.V., All rights reserved.

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