Learning to Schedule Multi-Server Jobs With Fluctuated Processing Speeds
Author:
Affiliation:
1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China
2. Distributed Systems Group, Technische Universität Wien, Vienna, Austria
3. School of Computer Science, University of Sydney, Sydney, NSW, Australia
Funder
National Natural Science Foundation of China
Key Research Project of Zhejiang Province
Zhejiang University Deqing Institute of Advanced technology and Industrilization
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/9956797/09925644.pdf?arnumber=9925644
Reference40 articles.
1. Service Scheduling for Bernoulli Requests and Quadratic Cost
2. Efficient Online Resource Allocation in Heterogeneous Clusters with Machine Variability
3. FlowTime: Dynamic Scheduling of Deadline-Aware Workflows and Ad-Hoc Jobs
4. Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging
5. Algorithmic game theory
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