A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services

Documenti analoghi

• Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum
  di: Korontanis, Ioannis, et al.
  Pubblicazione: (2024)
• Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
  di: Makris, Antonios, et al.
  Pubblicazione: (2024)
• Urgent Edge Computing
  di: Dazzi, Patrizio, et al.
  Pubblicazione: (2024)
• HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud
  di: Kim, Minseo, et al.
  Pubblicazione: (2024)
• LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
  di: Seo, Eunil, et al.
  Pubblicazione: (2025)