Journal of Systems Research
Parent: UC Santa Cruz
eScholarship stats: Breakdown by Item for October, 2024 through January, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 6h427354 | [Problem] Cerberus: Minimalistic Multi-shard Byzantine-resilient Transaction Processing | 1,372 | 73 | 1,299 | 5.3% |
| 2p0805dq | [Solution] IPA: Inference Pipeline Adaptation to achieve high accuracy and cost-efficiency | 198 | 21 | 177 | 10.6% |
| 32z0068j | [Tool] Automatically Extracting Hardware Descriptions from PDF Technical Documentation | 191 | 43 | 148 | 22.5% |
| 43t0z18q | [SoK] Evaluations in Industrial Intrusion Detection Research | 131 | 32 | 99 | 24.4% |
| 8ss3f7w1 | [Solution] Algorithmic Heap Layout Manipulation in the Linux Kernel | 102 | 59 | 43 | 57.8% |
| 5v3489k8 | [SoK] Identifying Mismatches Between Microservice Testbeds and Industrial Perceptions of Microservices | 96 | 40 | 56 | 41.7% |
| 1wg7h0qf | SoK: Function-As-A-Service: From An Application Developer’s Perspective | 94 | 28 | 66 | 29.8% |
| 97s0f1gh | [Solution] Byzantine Cluster-Sending in Expected Constant Cost and Constant Time | 89 | 15 | 74 | 16.9% |
| 3989w2s4 | [Solution] ALCC: Migrating Congestion Control To The Application Layer In Cellular Networks | 87 | 8 | 79 | 9.2% |
| 36g369xq | [Solution] Mir-BFT: Scalable and Robust BFT for Decentralized Networks | 81 | 33 | 48 | 40.7% |
| 5hg1429j | [Solution] Mason: Scalable, Contiguous Sequencing for Building Consistent Services | 79 | 9 | 70 | 11.4% |
| 2h11n6xj | [Solution] End-to-end Scheduling of Real-time Task Pipelines on Multiprocessors | 68 | 11 | 57 | 16.2% |
| 8wk3343k | [Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol | 61 | 21 | 40 | 34.4% |
| 9w79h2jg | SoK: A Generalized Multi-Leader State Machine Replication Tutorial | 60 | 19 | 41 | 31.7% |
| 63n4s9w2 | [Tool] Designing Replicable Networking Experiments With Triscale | 57 | 19 | 38 | 33.3% |
| 33h6w78g | [SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis | 56 | 16 | 40 | 28.6% |
| 8m39f25q | [Solution] Prepare your video for streaming with Segue | 45 | 10 | 35 | 22.2% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.