Latest Research in Distributed Data Consistency

Top Research Topics in Distributed Data Consistency

• Distributed, Parallel, and Cluster Computing — 35 papers
• Machine Learning — 21 papers
• Hardware Architecture — 17 papers
• Advanced Data Storage Technologies — 14 papers
• Artificial Intelligence — 10 papers
• Databases — 7 papers
• Operating Systems — 6 papers
• Cloud Computing and Resource Management — 5 papers
• Performance — 5 papers
• Cryptography and Security — 5 papers

Highest-Cited Papers

1. Durable Edge-Outbox Synchronization: Managing Relational Divergence in Intermittent Mobile Enterprise Workloads
2. A Pilot Study of Consistency–Latency Trade-offs in Distributed Caching Under Read-Heavy Concurrent Workloads
3. A Pilot Study of Consistency–Latency Trade-offs in Distributed Caching Under Read-Heavy Concurrent Workloads
4. The Price of the Bottleneck: A Pre-Registered, Multi-Domain Deployment Characterization of a Deterministic Edge Decision Token
5. Future-Obligation-Aware Workload Admission for Coupled Compute-Thermal Infrastructure: A Resource-Liability and Downstream-Closure Control Framework for High-Density AI Computing
6. Sketching the Error, Not the Product: Post Hoc Fault Recovery for Half Precision GPU Matrix Multiplication
7. Detecting Soft Errors in Parallel Software with LLM-tuned Instruction Duplication
8. P-GADMM: Parallel Group-Based ADMM for Asynchronous Optimization in Heterogeneous Edge Networks
9. MonkeyTree: Near-Minimal Congestion for Multi-tenant Training via Migration
10. Edgecluster: an evolving data stream clustering at the edge
11. Breaking the $T^{2/3}$ Barrier for Sequential Calibration
12. Wireless Context Engineering for Efficient Mobile Agentic AI and Edge General Intelligence
13. Epic: Efficient Programming Paradigm for In-Storage Computing
14. Aneto: Predicting System Performance by Exploiting Cross-Workload Regularity
15. Discovering Performance Archetypes: Critical-Path-Aware Pattern Analysis and Regression Detection
16. Dual Randomized Smoothing: Beyond Global Noise Variance
17. Rethinking LLM-aided RTL Code Optimization Via Timing Logic Metamorphosis
18. DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters
19. Beyond the Previous Layer: Residual Predictive Structure in Sparse MoE Routing
20. HBF Sucks? A Full-Stack Characterization of High-Bandwidth Flash for KV-Centric LLM Serving

Sub-Regions

• Operating Systems — 33 papers
• Parallel Computing and Optimization Techniques — 31 papers
• Cloud Computing and Resource Management — 28 papers
• Distributed, Parallel, and Cluster Computing — 23 papers
• Advanced Data Storage Technologies — 22 papers
• Databases — 10 papers