venue: TOCS year: 2024 selected: - title: "PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation" authors: - Zheng Dang - Shuibing He - Xuechen Zhang - Peiyi Hong - Zhenxin Li - Xinyu Chen - Haozhe Song - Xian-He Sun - Gang Chen tldr: "PMAlloc redesigns persistent memory allocation end-to-end, co-optimizing the allocator's data structures, concurrency, and crash consistency to dramatically reduce allocation overhead." why_notable: "Persistent memory is still poorly understood at the allocator level; this paper offers a rare holistic treatment that will inform future PM software stacks." - title: "Boki: Towards Data Consistency and Fault Tolerance with Shared Logs in Stateful Serverless Computing" authors: - Zhipeng Jia - Emmett Witchel tldr: "Boki introduces a shared-log abstraction for serverless functions that provides strong consistency and fault tolerance without requiring developers to manage state explicitly." why_notable: "It reframes stateful serverless as a log-centric problem, offering a clean systems primitive that substantially simplifies correctness guarantees in function-as-a-service platforms." - title: "Diciclo: Flexible User-level Services for Efficient Multitenant Isolation" authors: - Giorgos Kappes - Stergios V. Anastasiadis tldr: "Diciclo provides a user-level framework that lets services customize their isolation mechanisms without kernel modifications, reducing interference among co-located tenants." why_notable: "Multitenant isolation in cloud systems is typically a blunt instrument; this work shows that flexible, low-overhead isolation can be achieved entirely in user space." - title: "SPATA: Effective OS Bug Detection with Summary-Based, Alias-Aware, and Path-Sensitive Typestate Analysis" authors: - Tuo Li - Jia-Ju Bai - Yulei Sui - Shi-Min Hu tldr: "SPATA applies a summary-based, alias-aware, and path-sensitive typestate analysis to detect resource-management bugs in OS kernels at scale." why_notable: "Finding use-after-free and double-free bugs in OS code remains an open challenge; SPATA's precision improvements over prior static analyses make it a practical tool for kernel hardening." - title: "Trinity: High-Performance and Reliable Mobile Emulation through Graphics Projection" authors: - Hao Lin - Zhenhua Li - Di Gao - Yunhao Liu - Feng Qian - Tianyin Xu - Bo Xiao - Xiaokang Qin tldr: "Trinity projects GPU rendering workloads from a mobile device onto a remote high-performance GPU, enabling faithful, high-throughput mobile emulation." why_notable: "Mobile app testing at scale requires accurate emulation of GPU behavior; Trinity's graphics-projection design closes a long-standing fidelity gap in mobile emulators." - title: "Optimizing Resource Management for Shared Microservices: A Scalable System Design" authors: - Shutian Luo - Chenyu Lin - Kejiang Ye - Guoyao Xu - Liping Zhang - Guodong Yang - Huanle Xu - Cheng-Zhong Xu tldr: "This paper presents a scalable resource-management system for shared microservices that reduces interference and improves utilization in large-scale production deployments." why_notable: "Microservice co-location is the norm in modern clouds, yet managing their shared resources at scale remains unsolved; this work delivers practical, production-validated answers." - title: "Hardware-Software Collaborative Tiered-Memory Management Framework for Virtualization" authors: - Sai Sha - Chuandong Li - Xiaolin Wang - Zhenlin Wang - Yingwei Luo tldr: "A hardware-software co-design framework that transparently manages hot/cold data placement across DRAM and slower memory tiers inside virtual machines." why_notable: "As CXL-attached and NVM memory tiers become mainstream in data centers, principled tiered-memory management in hypervisors becomes critical; this paper provides a solid baseline." - title: "Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing" authors: - Laiping Zhao - Yushuai Cui - Yanan Yang - Xiaobo Zhou - Tie Qiu - Keqiu Li - Yungang Bao tldr: "This system differentiates micro-components of co-located workloads to reclaim idle resources precisely, boosting overall cluster throughput without violating SLOs." why_notable: "Coarse-grained co-location wastes significant cluster capacity; the component-level granularity introduced here sets a new standard for resource-reclamation systems."