CHARIOT - Towards a Continuous High-Level Adaptive Runtime Integration Testbed

Chloe M. Barnes, Kirstie Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Anthony Stein, Christopher Stewart, Sven Tomforde

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Integrated networked systems sense a common environment, learn to navigate the environment and share their experiences. Sharing experiences simplifies learning, reducing costly trial and error in complex environments. However, integration produces dependencies that make constituent systems less robust to failures, unexpected outputs and performance anomalies. Even with APIs and reflective, self-aware techniques, system integration still requires expert programming and tuning. Self-integrating systems proposed in recent research automate integration, but can be challenging to validate at scale. We therefore propose CHARIOT, a common test environment to allow for different approaches and systems to be deployed, assessed and compared on a shared platform for the development of self-integrating systems. In this paper, we discuss the underlying requirements and challenges, potential metrics, and a system metamodel to accommodate these.
Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019
PublisherIEEE
Pages52-55
Number of pages4
ISBN (Electronic)978-1-7281-2406-3
ISBN (Print)978-1-7281-2407-0
DOIs
Publication statusPublished - 8 Aug 2019
Event2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) - Umea, Sweden
Duration: 16 Jun 201920 Jun 2019

Conference

Conference2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)
Period16/06/1920/06/19

Keywords

  • Metamodel
  • Self Integration
  • Self Optimisation
  • System Integration
  • Testbed

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