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

• Main Authors: Niu, Zhaojie, Tang, Shanjiang, He, Bingsheng
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• 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
• Institution: Nanyang Technological University

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...