Journal of Systems Research

Parent: UC Santa Cruz

eScholarship stats: Breakdown by Item for May through August, 2026

ItemTitleTotal requestsDownloadView-only%Dnld
6h427354[Problem] Cerberus: Minimalistic Multi-shard Byzantine-resilient Transaction Processing1,3061351,17110.3%
8m39f25q[Solution] Prepare your video for streaming with Segue73057115978.2%
97s0f1gh[Solution] Byzantine Cluster-Sending in Expected Constant Cost and Constant Time447434049.6%
36g369xq[Solution] Mir-BFT: Scalable and Robust BFT for Decentralized Networks4225736513.5%
32z0068j[Tool] Automatically Extracting Hardware Descriptions from PDF Technical Documentation37813724136.2%
3989w2s4[Solution] ALCC: Migrating Congestion Control To The Application Layer In Cellular Networks3678528223.2%
23j1s4bg[SoK] Systematizing Inference Placement For Deep Learning Across Edge And Cloud Platforms: A Multi-Objective Optimization Perspective36419916554.7%
5v3489k8[SoK] Identifying Mismatches Between Microservice Testbeds and Industrial Perceptions of Microservices34617916751.7%
8ss3f7w1[Solution] Algorithmic Heap Layout Manipulation in the Linux Kernel34515119443.8%
40z4v3f9[SOK] Large Language Models in Security Code Review and Testing32812420437.8%
43t0z18q[SoK] Evaluations in Industrial Intrusion Detection Research2966922723.3%
2p0805dq[Solution] IPA: Inference Pipeline Adaptation to achieve high accuracy and cost-efficiency2698418531.2%
9w79h2jgSoK: A Generalized Multi-Leader State Machine Replication Tutorial2606619425.4%
8wk3343k[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol2558417132.9%
2h11n6xj[Solution] End-to-end Scheduling of Real-time Task Pipelines on Multiprocessors2406317726.3%
5hg1429j[Solution] Mason: Scalable, Contiguous Sequencing for Building Consistent Services2376317426.6%
63n4s9w2[Tool] Designing Replicable Networking Experiments With Triscale2347715732.9%
1wg7h0qfSoK: Function-As-A-Service: From An Application Developer’s Perspective2289113739.9%
33h6w78g[SoK] The Great GAN Bake Off, An Extensive Systematic Evaluation of Generative Adversarial Network Architectures for Time Series Synthesis1986813034.3%

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