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Resource optimisation in IoT cloud systems by using matchmaking and self-management principles

  • Martin Serrano
  • , Danh Le-Phuoc
  • , Maciej Zaremba
  • , Alex Galis
  • , Sami Bhiri
  • , Manfred Hauswirth
  • University of Galway
  • University College London

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

6 Citations (Scopus)

Abstract

IoT Cloud systems provide scalable capacity and dynamic behaviour control of virtual infrastructures for running applications, services and processes. Key aspects in this type of complex systems are the resource optimisation and the performance of dynamic management based on distributed user data metrics and/or IoT application data demands and/or resource utilisation metrics. In this paper we particularly focus on Cloud management perspective - integrating IoT Cloud service data management - based on annotated data of monitored Cloud performance and user profiles (matchmaking) and enabling management systems to use shared infrastructures and resources to enable efficient deployment of IoT services and applications. We illustrate a Cloud service management approach based on matchmaking operations and self-management principles which enable improved distribution and management of IoT services across different Cloud vendors and use the results from the analysis as mechanism to control applications and services deployment in Cloud systems. For our IoT Cloud data management solution we utilize performance metrics expressed with linked data in order to integrate monitored performance data and end user profile information (via linked data relations).

Original languageEnglish
Title of host publicationThe Future Internet - Future Internet Assembly 2013
Subtitle of host publicationValidated Results and New Horizons
PublisherSpringer-Verlag
Pages127-140
Number of pages14
ISBN (Print)9783642380815
DOIs
Publication statusPublished - 2013
Event2013 Annual Future Internet Assembly, FIA 2013 - Dublin, Ireland
Duration: 8 May 201310 May 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2013 Annual Future Internet Assembly, FIA 2013
Country/TerritoryIreland
CityDublin
Period8/05/1310/05/13

Keywords

  • Autonomic management
  • Cloud computing systems
  • Cloud monitoring
  • Elasticity
  • Internet-of-Things
  • Interoperability
  • Linked data
  • Management
  • Self-Management
  • Service platforms
  • Virtual infrastructures

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