【論文總結】Challenges for Scheduling Scientific Workflows on Cloud Functions
SDBWS 解決的問題 FaaS上科學工做流調度問題算法 採用的方法 Serverless Deadline-Budget Workflow Scheduling (SDBWS)。本算法是靜態調度算法，可以在知足任務執行的ddl基礎上儘量減少開銷。該算法首先依據任務在全部不一樣資源上執行時間的平均值對任務進行升序排序，而後根據這個排序以及用戶指望的整個工做流的ddl以及任務之間的依賴關係(DAG)
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相關文章
- 1. 【論文總結】Efficient coflow scheduling with Varys
- 2. 【論文總結】Efficient Coflow Scheduling Without Prior Knowledge
- 3. Cross-Platform Resource Scheduling for Spark and MapReduce on YARN論文理解
- 4. 【每週論文】Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing
- 5. Compiler Optimization on VLIW Instruction Scheduling for Low Power
- 6. 《Object Storage on CRAQ: High-throughput chain replication for read-mostly workloads》論文總結
- 7. 【News】China challenges Nvidia’s hold on AI chips
- 8. Global Live-streaming For Business: Getting Started on the Cloud
- 9. 《Enhanced LSTM for Natural Language Inference》論文總結
- 10. yolov4論文總結