Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing

Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing

In data-intensive cluster computing platforms such as Hadoop YARN, performance and fairness are two important factors for system design and optimizations. Many previous studies are either for performance or for fairness solely, without considering the tradeoff between performance and fairness. Recen...

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Bibliographic Details
Main Authors: Niu, Zhaojie, Tang, Shanjiang, He, Bingsheng
Other Authors: School of Computer Engineering
Format: Conference Paper
Language:English
Published: 2016
Subjects:
Optimization
Processor scheduling
Adaptation models
Computational modeling
Online Access:https://hdl.handle.net/10356/80355
http://hdl.handle.net/10220/40532

Internet

https://hdl.handle.net/10356/80355
http://hdl.handle.net/10220/40532

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