All Stories

  1. Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge
  2. PathFS
  3. PORTEND: A Joint Performance Model for Partitioned Early-Exiting DNNs
  4. Shepherd: Seamless Stream Processing on the Edge
  5. Combining DNN partitioning and early exit
  6. Pain-o-vision, effortless pain management
  7. Sustainable Computing on the Edge
  8. Latency-Aware Strategies for Deploying Data Stream Processing Applications on Large Cloud-Edge Infrastructure
  9. An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Computing
  10. Boosting Big Data Streaming Applications in Clouds With BurstFlow
  11. Scalable Joint Optimization of Placement and Parallelism of Data Stream Processing Applications on Cloud-Edge Infrastructure
  12. Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing
  13. Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing
  14. Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources
  15. Apache Spark
  16. Enabling Strategies for Big Data Analytics in Hybrid Infrastructures
  17. Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems
  18. Distributed data stream processing and edge computing: A survey on resource elasticity and future directions
  19. Latency-Aware Placement of Data Stream Analytics on Edge Computing
  20. Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments
  21. Rescheduling and checkpointing as strategies to run synchronous parallel programs on P2P desktop grids