Dynamic Workers for SchedulingAuthors: 唐子晴、邱柏誌Advisor: Chien-Wen Wu

Introduction

•Scheduling is essential for backend services

•Adoption of “Energy Saving System”•The paper introduces the dynamic

workers to finish the queued tasks by closing the idle workers depending on the assigned tasks.

Literatures

•Simple Linux Utility for Resource Management, Power Saving Guide▫https://

computing.llnl.gov/linux/slurm/power_save.html

•Scheduling Algorithms by Professor Dr. Peter Brucker

•A Particle Swarm Optimization (PSO)-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments

Models

•Combination of “Energy Saving System” and tasks assignment algorithm to identify the closing idle workers.

•Sorting algorithm for importance of jobs (and each job complexity) for deciding down time of the idle workers.

Algorithms

•Particle Swarm Optimization(PSO)▫Solving task assignment problem

•Bucket sorting

Conclusion

•We expect to achieve a better energy saving solution for server nodes (workers)

•A properly assigned computing power for load-balancing

Thanks for Listening!