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CSTL: Compositional Signal Temporal Logic for Adaptive Edge Service Monitoring

  • Deng Zhao
  • , Zhangbing Zhou
  • , Wenbo Zhang
  • , Shuiguang Deng
  • , Xiao Xue
  • , Walid Gaaloul
  • School of Information Engineering
  • CNRS SAMOVAR UMR 5157
  • Institute of Software Chinese Academy of Sciences
  • College of Computer Science and Technology, Zhejiang University
  • Tianjin University

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Edge service monitoring is essential to guarantee the healthy of service compositions at runtime. Current techniques focus mostly on the monitoring of atomic edge services, but they are inadequate for that of inter- and composite services. Besides, constraints to be monitored are usually pre-specified, although certain parameters may have to be adapted online according to the execution context. To address these challenges, this paper formulates the problem of edge service monitoring as the interpretation of temporal constraints and time-dependent QoS constraints upon intra-, inter-, and composite services. Leveraging our proposed Compositional Signal Temporal Logic (CSTL) with extended compositional modalities and online parameter settings, an adaptive monitoring mechanism is developed, where constraints are converted to CSTL formulae, and QoS variations and temporal violations are interpreted qualitatively and quantitatively at runtime. Extensive experiments are conducted upon publicly-available datasets, and evaluation results show that CSTL performs better than baseline techniques in terms of expressiveness, applicability, and robustness.

langue originaleAnglais
Pages (de - à)482-496
Nombre de pages15
journalIEEE Transactions on Services Computing
Volume17
Numéro de publication2
Les DOIs
étatPublié - 1 mars 2024

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