Operating Systems¶
Kernel design and implementation¶
Solution: abstracting the underlying hardware and providing a secure, managed, and efficient environment for user-level applications to run concurrently and share system resources
Process and thread management¶
Solution: ensuring fair resource allocation, smooth multitasking, and proper coordination between processes and threads to maximize system performance and responsiveness.
Memory management¶
Memory management is the basic of system design.
Memory Partitioning¶
Solution: efficiently and securely divide physical memory among multiple processes or systems
Challenge: ensuring processes get enough memory without waste, while preventing interference and maintaining system performance and security.
| Year | Venue | Authors | Title | Tags | P | E | N |
|---|---|---|---|---|---|---|---|
| 2024 | arXiv | UMich | Mercury: QoS-Aware Tiered Memory System | contend for local memory; priority inversion; intra- and inter-tier interference; per-tier page reclaimation | |||
| 2012 | HPCA | Georgia Institute of Technology | TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture | thread-level parallelism; core sampling for cache effort indentification; cache block lifetime normalization | |||
| 2024 | arXiv | UMich | Mercury: QoS-Aware Tiered Memory System | contend for local memory; priority inversion; intra- and inter-tier interference; per-tier page reclaimation |
Page Migration¶
Challenge: the trade-off between migration overhead and potential performance gains, complicated by prediction accuracy and hardware complexities
| Year | Venue | Authors | Title | Tags | P | E | N |
|---|---|---|---|---|---|---|---|
| 2024 | SC | THU | Hydrogen: Contention-Aware Hybrid Memory for Heterogeneous CPU-GPU Architectures | fast memory decoupled partitioning; token-based slow memory migration; epoch-based sampling method; consistent hashing based reconfiguration | |||
| 2024 | OSDI | UT Arlington | Nomad: Non-Exclusive Memory Tiering via Transactional Page Migration | Memory allocator for hardware tiering to mitigate outliers |
Memory Pooling¶
Solution: Memory Pooling reduces the overhead of frequent memory allocation and deallocation by maintaining a pool of pre-allocated memory blocks for reuse.
| Year | Venue | Authors | Title | Tags | P | E | N |
|---|---|---|---|---|---|---|---|
| 2023 | ASPLOS | Virginia Tech | Pond: CXL-Based Memory Pooling Systems for Cloud Platforms | CXL-based memory pooling; small-pool design for low latency; machine learning model for memory allocation prediction; zero-core virtual NUMA (zNUMA) node for untouched memory |
Cache Evict¶
Challenge: to balance the cache hit ratio and the cache miss penalty.
The cache here not only includes the cache in the processors, but also the software concept in systems.
| Year | Venue | Authors | Title | Tags | P | E | N |
|---|---|---|---|---|---|---|---|
| 2024 | NSDI | CMU | Sieve is Simpler than LRU: an Efficient Turn-Key Eviction Algorithm for Web Caches | web cache management; fifo-like schedule; recognizing the importance of objects | 3 | 3 | 3 |
File systems and storage¶
Solution: organizing, storing, and retrieving data efficiently and reliably on storage devices, manage disk space, and ensure data integrity and security.
Storage Systems¶
Solution: eficient, reliable, and secure management of data storage across diverse hardware while achieving balance between performance, durability, efficiency, and scalability .
SSD Management¶
Challenge: limited write endurance, garbage collection, wear leveling, and the mismatch between erase and write operations, while optimizing performance and extending device lifespan
| Year | Venue | Authors | Title | Tags | P | E | N |
|---|---|---|---|---|---|---|---|
| 2025 | EuroSys | Samsung | Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs | NVMe Flexible Data Placement (FDP) SSDs for data segregation; targeted data placement for reduced device write amplification; FDP-enabled CacheLib architecture; theoretical DLWA model for CacheLib | |||
| 2025 | arXiv | SDU | Managing Hybrid Solid-State Drives Using Large Language Models | LLM-based auto-tuning framework for hybrid SSD management; hybrid SSD parameter categorization; performance-sensitive parameter selection; prompt engineering for LLM integration; dynamic configuration optimization in hybrid SSDs |
Virtualization¶
Solution: efficiently managing and isolating multiple virtual machines (VMs) or containers on a single physical machine, allowing them to share hardware resources securely and independently while maintaining performance and flexibility.
Synchronization¶
Solution: coordinating access to shared resources among multiple processes or threads to prevent conflicts, ensure data consistency, and avoid issues like race conditions, deadlocks, and resource starvation.