Robustness via Elasticity Accelerators for the IoT-Edge-Cloud Continuum

Linh Truong*, Kostas Magoutis

*Corresponding author for this work

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

1 Citation (Scopus)
18 Downloads (Pure)


This paper presents a novel framework to enhance programmability of the IoT-edge-cloud continuum and to accommodate rapid change through software composition and elastic adaptation using appropriate reusable runtime components, techniques, and languages (which we collectively term Accelerators) to optimize resources and services. We particularly pinpoint elasticity as a driver for increased robustness, an ability we abbreviate as RVE. RVE Accelerators aim at enabling end-to-end programming, configuration, monitoring, and optimization in the IoT-edge-cloud continuum for emerging swarm applications and services, with the ability to coordinate domain-specific elasticity capabilities in a cross-layered manner. RVE Accelerators will enable developers to easily program adaptive edge-cloud functionality through different layers, while cloud and edge solution providers can coordinate policies across layers to support robust, resilient systems at low effort and cost for their customers.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing, UCC 2022
Number of pages6
ISBN (Electronic)978-1-6654-6087-3
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventIEEE/ACM International Conference on Utility and Cloud Computing - Vancouver, United States
Duration: 6 Dec 20229 Dec 2022
Conference number: 15


ConferenceIEEE/ACM International Conference on Utility and Cloud Computing
Abbreviated titleUCC
Country/TerritoryUnited States


  • cloud computing
  • edge computing
  • elasticity
  • end-to-end
  • resilience


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