All Stories

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