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Original Article
RATM: Reinforcement Learning For Co-Optimized CPU Scheduling and NUMA Memory Management
Dr. T C Mnajunath1
Sreerama M P2
Shrivatsa K S3
Tanzila Khanam4
Nandini Modi5
1 Dean, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, R&D RRCE Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, R&D RRCE Bengaluru, Karnataka, India.
Published Online: September-December 2025
Pages: 350-362
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250403054
References
1. DeepRM: Resource Management with Deep Reinforcement Learning
Authors: Hongzi Mao, Mohammad Alizadeh, Mor Harchol-Balter
Link: https://people.csail.mit.edu/alizadeh/papers/deeprm-hotnets16.pdf
2. AutoNUMA: Linux Kernel Automatic NUMA Balancing
Authors: Rik van Riel (Red Hat), Vinod Chegu (HP)
Link: https://events.static.linuxfound.org/sites/events/files/slides/summit2014_riel_chegu_w_0340_automatic_numa_balancing_0.pdf
3. Colloid: Tiered Memory Management via Access Latency Balancing Authors: Meghana Vuppalapati, Rohan Agarwal, Eiman Ebrahimi,andothersLink:https://www.cs.cornell.edu/~ragarwal/pubs/colloid.pdf ACM DL entry: https://dl.acm.org/doi/10.1145/3694715.3695968
4. Shenango: Achieving High CPU Efficiency for Latency-Sensitive Datacenter WorkloadsAuthors: Amy Ousterhout, Joshua Fried, Jonathan Behrens, Adam Belay, David G. Andersen, Michael Zaharia, Hari Balakrishnan
Link: https://www.usenix.org/conference/nsdi19/presentation/ousterhout
SemanticScholar: https://www.semanticscholar.org/paper/Shenango%3A-Achieving-High-CPU-Efficiency-for-Ousterhout-Fried/5f5903035b1c105c59e60b10ec4a5233992240d0
5. VRRP: Varying Response Ratio Priority Scheduling Singh, Pawan, Amit Pandey, and Andargachew Mekonnen, "Varying Response Ratio Priority: A Preemptive CPU Scheduling Algorithm," Journal of Computer and Communications, 2015.
URL: https://www.scirp.org/journal/paperinformation?paperid=55577
Authors: Hongzi Mao, Mohammad Alizadeh, Mor Harchol-Balter
Link: https://people.csail.mit.edu/alizadeh/papers/deeprm-hotnets16.pdf
2. AutoNUMA: Linux Kernel Automatic NUMA Balancing
Authors: Rik van Riel (Red Hat), Vinod Chegu (HP)
Link: https://events.static.linuxfound.org/sites/events/files/slides/summit2014_riel_chegu_w_0340_automatic_numa_balancing_0.pdf
3. Colloid: Tiered Memory Management via Access Latency Balancing Authors: Meghana Vuppalapati, Rohan Agarwal, Eiman Ebrahimi,andothersLink:https://www.cs.cornell.edu/~ragarwal/pubs/colloid.pdf ACM DL entry: https://dl.acm.org/doi/10.1145/3694715.3695968
4. Shenango: Achieving High CPU Efficiency for Latency-Sensitive Datacenter WorkloadsAuthors: Amy Ousterhout, Joshua Fried, Jonathan Behrens, Adam Belay, David G. Andersen, Michael Zaharia, Hari Balakrishnan
Link: https://www.usenix.org/conference/nsdi19/presentation/ousterhout
SemanticScholar: https://www.semanticscholar.org/paper/Shenango%3A-Achieving-High-CPU-Efficiency-for-Ousterhout-Fried/5f5903035b1c105c59e60b10ec4a5233992240d0
5. VRRP: Varying Response Ratio Priority Scheduling Singh, Pawan, Amit Pandey, and Andargachew Mekonnen, "Varying Response Ratio Priority: A Preemptive CPU Scheduling Algorithm," Journal of Computer and Communications, 2015.
URL: https://www.scirp.org/journal/paperinformation?paperid=55577
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