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HealthEdge : T Task S Scheduling f for Edge C Com omputing with He Health E Emer ergen ency a and Hu Human an B Behavior Consi sider eration on i in Smar art Hom Homes es Haoyu Wang*, Jiaqi Gong^, Yan Zhuang*, Haiying Shen*


  1. HealthEdge : T Task S Scheduling f for Edge C Com omputing with He Health E Emer ergen ency a and Hu Human an B Behavior Consi sider eration on i in Smar art Hom Homes es Haoyu Wang*, Jiaqi Gong^, Yan Zhuang*, Haiying Shen* and John Lach* *University o of V Virginia ^Univer ersity ty of of M Maryland, B , Balti timore C County ty

  2. Outline • Introduction • Approach description • Evaluation • Conclusion 2

  3. The Future Mainframe Centralized 1960-1970 Client-Server Distributed 1980-2000 Edge Computing Distributed Mobile-Cloud 2020-Future Centralized 2005-2020 3

  4. 4

  5. Monitor patients critically Better response time Aids in patient mobility 5

  6. Outline • Introduction • Approach description • Evaluation • Conclusion 6

  7. Overview of HealthEdge Aim to schedule task by considering task emergency and human behavior for resource management 7

  8. How to assign a task to edge workstation 8

  9. Task Emergency Determination Priority-based Task Queuing Task Latency Estimation and Task Scheduling 9

  10. Outline • Introduction • Approach description • Evaluation • Conclusion 10

  11. Experiment Setup Up to 300 workstations 5 sensors: Temperature sensor, Glucose monitor, ECG sensor, Accelerator and gyroscope sensor, and Pulse oximeter sensor. Private Data Center 60 nodes Workload Description One-month (from Dec. 1 to Dec. 31 in 2016) dataset consists of the human behavior dataset (e.g., physiological signal and activity datasets) and environment datasets (e.g., temperature, humidity, light, and noise datasets). 11

  12. Bandwidth Utilization Network Load 12

  13. Processing Time on All Processing Time on Tasks Emergency Tasks 13

  14. Outline • Introduction • Approach description • Evaluation • Conclusion 14

  15. Conclusion 1) We first formulate the task scheduling resource management problem and then prove that it is an NP-hard problem. 2) We propose a heuristic resource management HealthEdge that sets different priorities for different tasks based on the human health status 3) We construct a trace-driven simulation to evaluate the performance of HealthEdge 15

  16. Thank you! Questions? 16

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