Accepted papers
The following papers have been accepted to SoCC 2026 (Round 1). Titles and author lists may change during the shepherding process.
Spanner-RSS+: Diagnosing and Reducing Safe-Time Waiting of Read-only Transactions in Spanner-RSS
- Sejong Kim (Korea University); Hena Cho (Korea University); Yon Dohn Chung (Korea University)
FCP: Fast User-space RDMA Control Plane Setup for Elastic Computing
- Junxue Zhang (University of Science and Technology of China); Han Tian (USTC); Xinyang HUANG (Hong Kong University of Science and Technology); Wenxue Li (Hong Kong University of Science and Technology); Kaiqiang Xu (Hong Kong University of Science and Technology); Dian Shen (Southeast University); Kai Chen (Hong Kong University of Science and Technology); Kaiqiang Xu (Google & HKUST)
FlowWise: Fast–Slow Model Orchestration for Line-Rate Network Traffic Intelligence
- Shinan Liu (University of Hong Kong); Ted Shaowang (University of Chicago); Gerry Wan (Stanford University); Jeewon Chae (University of Chicago); Jonatas Marques (University of Chicago); Sanjay Krishnan (University of Chicago); Nick Feamster (University of Chicago); Jonatas Marques (Federal University of Rio Grande do Sul)
FedRD: Towards Memory-efficient Federated Learning via Adaptive Recomputation and Defragmentation
- Kahou Tam (University of Macau); Ziyu Gong (University of Macau); Li Li (University of Macau); ChengZhong Xu (University of Macau)
PEACE: Power and Performance Aware Colocation for Efficient GPU Spatial Partitioning
- Bing-Shiun Han (Stony Brook University); Chaitanya Sundeep Subhedar (Stony Brook University); Kunaal Parekh (Stony Brook University); Wan-Chu Lin (Stony Brook University); Zhenhua Liu (Stony Brook University); Anshul Gandhi (Stony Brook University)
Spandana: Reconciling Strict SLOs with Low Cost under Fine-Grained Load Fluctuations
- Dilina Dehigama (University of Edinburgh); Shyam Jesalpura (University of Edinburgh); Zeyu Xu (University of Edinburgh); Marton Nemeth (University of Edinburgh); Shengda Zhu (The University of Edinburgh); Marios Kogias (Imperial College London); Boris Grot (University of Edinburgh)
TRAM: Tree-based atomic multicast on RDMA
- Lorenzo Martignetti (Università della Svizzera Italiana); Eliã Batista (Università della Svizzera italiana); Gianpaolo Cugola (Politecnico di Milano); Fernando Pedone (Università della Svizzera italiana (USI))
Tessera: Contract-Driven Cost–SLO Optimization for Multi-tenant GPU Clouds
- Rui Li (Hill Research); Shuang Cao (Hill Research)
ExclaveFL: Verifiable Claims for Federated Learning using Exclaves
- Jinnan Guo (Imperial College London); Kapil Vaswani (None); Andrew Paverd (Microsoft Security Response Center); Peter Pietzuch (Imperial College London)
Cadence: Taming Coupled Contention in Disaggregated Agent Clouds
- Rui Li (Hill Research); Shuang Cao (Hill Research)
The Kernel Always Knows: Understanding Isolation via Kernel Objects
- Anjali (University of Wisconsin-Madison); Michael M. Swift (University of Wisconsin--Madison)
Memory-Decoupled Layer-Wise Fine-Tuning for Efficient On-Device LLM Adaptation
- YEBO WU (University of Macau); Jingguang Li (University of Macau); Chunlin Tian (University of Macau); Kahou Tam (University of Macau); zhijiang guo (The Hong Kong University of Science and Technology (Guang Zhou)); Li Li (University of Macau); Kahou Tam (University of Macau)
BoxD: Managing GPU Managed Memory
- Utkarsh Tiwari (Indian Institute of Technology Bombay); Purushottam Kulkarni (Indian Institute of Technology Bombay)
Robust and efficient replication with CAV data structures
- Eliã Batista (Università della Svizzera italiana); Eduardo Alchieri (University of Brasilia); Paulo Coelho (Federal University of Uberlandia, Brazil); Fernando Dotti (PUC); Fernando Pedone (Università della Svizzera italiana (USI))
SlimeMold: Scaling Distributed Hardware Load Balancers via a Unified Giant Connection Table
- Ziyuan Liu (Beihang University & Microsoft Research); Zhixiong Niu (Microsoft Research); Ran Shu (Microsoft Research); Jianqin Zhang (Ruijie Networks); Guohong Lai (Ruijie Networks); Liang Gao (Ruijie Networks); Na Wang (Broadcom Inc.); Zongying He (Broadcom Inc.); Jacob Nelson (Microsoft Research); Dan R. K. Ports (Microsoft Research); Lihua Yuan (Microsoft); Peng Cheng (Microsoft Research); Yongqiang Xiong (Microsoft Research); Ran Shu (Microsoft Research)
MosaicKV: SLO-Aware KV-Cache Virtualization for Multi-Tenant LLM Serving in the Cloud
- Rui Li (Hill Research); Shuang Cao (Hill Research)
Evaluating Agentic Systems Across the Lifecycle: A Taxonomy of Drifts and Success Criteria
- Gaurav Saxena (Independent Researcher); Ildar Iskhakov (Archestra.AI); Innokentii Konstantinov (Archestra.AI); Matvey Kukuy (Archestra.AI); Gaurav Saxena (None)
No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha
- Amey Agrawal (Georgia Tech); Haoran Qiu (Microsoft Azure Research); Junda Chen (University of California San Diego); Íñigo Goiri (Microsoft); Rayyan Shahid (Georgia Institute of Technology); Ram Ramjee (Microsoft Research India); Alexey Tumanov (Georgia Tech); Esha Choukse (Microsoft); Rayyan Shahid (Georgia Institute of Technology)