Journal of Systems Research

Parent: UC Santa Cruz

eScholarship stats: Breakdown by Item for July through October, 2026

ItemTitleTotal requestsDownloadView-only%Dnld
6h427354[Problem] Cerberus: Minimalistic Multi-shard Byzantine-resilient Transaction Processing1,3691041,2657.6%
8m39f25q[Solution] Prepare your video for streaming with Segue42527115463.8%
40z4v3f9[SOK] Large Language Models in Security Code Review and Testing41214227034.5%
8ss3f7w1[Solution] Algorithmic Heap Layout Manipulation in the Linux Kernel37115921242.9%
23j1s4bg[SoK] Systematizing Inference Placement For Deep Learning Across Edge And Cloud Platforms: A Multi-Objective Optimization Perspective36517419147.7%
3989w2s4[Solution] ALCC: Migrating Congestion Control To The Application Layer In Cellular Networks3558327223.4%
43t0z18q[SoK] Evaluations in Industrial Intrusion Detection Research3368425225.0%
32z0068j[Tool] Automatically Extracting Hardware Descriptions from PDF Technical Documentation33114518643.8%
97s0f1gh[Solution] Byzantine Cluster-Sending in Expected Constant Cost and Constant Time3213728411.5%
5v3489k8[SoK] Identifying Mismatches Between Microservice Testbeds and Industrial Perceptions of Microservices31314416946.0%
36g369xq[Solution] Mir-BFT: Scalable and Robust BFT for Decentralized Networks2673323412.4%
9w79h2jgSoK: A Generalized Multi-Leader State Machine Replication Tutorial2406417626.7%
5hg1429j[Solution] Mason: Scalable, Contiguous Sequencing for Building Consistent Services2233718616.6%
63n4s9w2[Tool] Designing Replicable Networking Experiments With Triscale2208113936.8%
2p0805dq[Solution] IPA: Inference Pipeline Adaptation to achieve high accuracy and cost-efficiency2186515329.8%
8wk3343k[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol2117313834.6%
2h11n6xj[Solution] End-to-end Scheduling of Real-time Task Pipelines on Multiprocessors2046014429.4%
1wg7h0qfSoK: Function-As-A-Service: From An Application Developer’s Perspective1746111335.1%
33h6w78g[SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis1515010133.1%

Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.