Cross-layer QoS-aware resource allocation for IoT-enabled service choreographies

Fábio M. Costa, Nikolaos Georgantas, Raphael de A. Gomes, Ricardo C.A. Da Rocha, Georgios Bouloukakis

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

Abstract

Resource allocation for distributed systems is a well-known approach to deal with quality of service requirements. However, existing approaches do not consider the effects of resource allocation at the different levels of a system, especially when considering the end-to-end behavior of distributed compositions such as service choreographies. Based on our previous research on the optimized and QoS-aware resource allocation for service choreographies and publish-subscribe brokers, we outline a novel approach that integrates the treatment of resource allocation at both levels in order to yield a more precise control over end-to-end QoS. The paper presents an early architecture and discusses some of the main challenges towards realizing the approach.

Original languageEnglish
Title of host publicationM4IOT 2018 - Proceedings of the 2018 Workshop on Middleware and Applications for the Internet of Things, Part of Middleware 2018 Conference
PublisherAssociation for Computing Machinery, Inc
Pages31-34
Number of pages4
ISBN (Electronic)9781450361187
DOIs
Publication statusPublished - 10 Dec 2018
Event2018 Workshop on Middleware and Applications for the Internet of Things, M4IOT 2018, Part of Middleware 2018 Conference - Rennes, France
Duration: 10 Dec 201811 Dec 2018

Publication series

NameM4IOT 2018 - Proceedings of the 2018 Workshop on Middleware and Applications for the Internet of Things, Part of Middleware 2018 Conference

Conference

Conference2018 Workshop on Middleware and Applications for the Internet of Things, M4IOT 2018, Part of Middleware 2018 Conference
Country/TerritoryFrance
CityRennes
Period10/12/1811/12/18

Keywords

  • Middleware
  • QoS
  • Resource allocation
  • Service choreographies

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