Course Schedule

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Date	Topic	Reading	Slides	Notes
January-14	Course Introduction	How to read a paper	Slides Slides + Annotations	Sign up from Presentations
January-16	Need for domain specific foundation models	On a Foundation Model for Operating Systems Learned Operating Systems	Slides Slides + Annotations
January-23	Overview of ML techniques used in Systems		Slides Slides + Annotations	Instructor Led
January-28	Learned Indices	The Case for Learned Index Structures	Slides Slides + Annotations Student Presentation
January-30, February-02	OS data structures	From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees	Slides Slides + Annotations Student Presentation
February- 04, 06	Scheduling	Learning Scheduling Algorithms for Data Processing Clusters	Slides Slides + Annotations Student Presentation
February-11	Scheduling	Sinan: ML-Based and QoS-Aware Resource Management for Cloud Microservices	Slides Student Presentation
February-13	Resource Allocation	LinnOS: Predictability on Unpredictable Flash Storage with a Light Neural Network	Slides Slides + Annotations Student Presentation	Suggested Project Topics Release
February-18	Caching	GL-Cache: Group-level learning for efficient and high-performance caching	Slides Slides + Annotations Student Presentation
February-20	Caching	Darwin: Flexible Learning-based CDN Caching HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube CDN
February-25	Program Synthesis	Ansor: Generating High-Performance Tensor Programs for Deep Learning		Project Proposal Due
February-27	Memory Allocation	Learning-based Memory Allocation for C++ Server Workloads
March-4	SSD Configurations	Learning to Drive Software-Defined Solid-State Drives
March-6	Congestion Control	Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet
March-11	Cluster Managment	FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices
March-13	Anomaly Detection	NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
March-18				Spring Break
March-20				Spring Break
March-25	Performance Diagnosis	Murphy: Performance Diagnosis of Distributed Cloud Applications
March-27	Synthetic Trace Generation	Practical GAN-based Synthetic IP Header Trace Generation using NetShare		Project Progress Report and Check-In
April-01	Synthetic Trace Generation	Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks
April-03	Simulation	MimicNet: Fast Performance Estimates for Data Center Networks with Machine Learning
April-08	Simulation	CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation
April-10	Deployment Challenges	Towards a Machine Learning-Assisted Kernel with LAKE
April-15	Deployment Challenges	LiteFlow: towards high-performance adaptive neural networks for kernel datapath
April-17	Verified Systems	C3: Learning Congestion Controllers with Formal Certificates		Guest Lecture
April-22				Final Project Presentation
April-24				Final Project Presentation