List of Accepted Papers in ACM/IFIP Middleware 2026 Main Conference
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SmartSched: Fine-Grained and Deterministic Parallel Execution for Smart Contracts
H. Feng, C. Wang, L. Wu, Y. Zhou
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PIM-CACHE: High-Efficiency Content-Aware Copy for Processing-In-Memory
P. Yuhala, M. Mwaisela, P. Felber, V. Schiavoni
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Requalizer: A Co-designed Information Flow Control and Quality of Service Management Framework
K. Jung, S. Gopalakrishnan, K. Pattabiraman
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FaaStream: Unifying Streaming and Batch Data Processing in Public FaaS Platforms
G. Finol, R. Gracia-Tinedo, P. García-López
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Peridot: An I/O-Extensible Execution Environment for WebAssembly Containers
P. Sarroca, M. Álvarez-Ruiz, M. Sánchez-Artigas, A. Trivedi, B. Metzler
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Styx: Collaborative and Private Data Processing With TEE-Enforced Sticky Policy
S. Zhao, W. Wang, N. Li, Z. Lin
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NTSM: OS-Level Memory Middleware for Scaling AI Without Boundaries
A. Noohi, M. Derispour, S. Ebrahimi, A. Barbalace
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KubePACS: Kubernetes Cluster Using Performant, Highly Available, and Cost Efficient Spot Instances
T. Kim, K. Kim, E. Molina-Giménez, P. García-López, K. Lee
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CHILL: Cold and Hot Isolation for Lightweight Learning-based CDN Cache Eviction
N. Sugiura, D. Fujiki, H. Matsutani
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FLORCA: A Lightweight Runtime for Dynamic Serverless Function Coordination and Execution
P. Gritsch, T. Oberroither, H. Stecher, M. Felderer, S. Ristov
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Hares: A Framework for Transparent and Cross-Architecture Enclave Offloading
A. Sundarasamy, X. Wang, C. Bilbao, B. Ravindran
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Autopilots Need Parachutes: Lessons Learned from LLM-Automated Embedded ML Pipelines
R. Morabito, G. Wu
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Reducing Excess in Generation: Energy-Efficient Optimization for Large Language Models
D. Xiang, J. Su, W. Xu, K. Chu, Z. Shen, T. Ding, Y. Zhang, R. Wu, W. Zhang
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Rollup Data Compression via an Implicit Dictionary
C. Lee
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Go Huge or Go Home: Flexible Hugepage Swapping for Cloud VMs
A. Ttofari, M. Pandurov, L. Humbel, D. Le Quoc, S. Bergman, D. Sepp, S. Chandrasekaran, S. Santhanam, C. Ye, W. Wang
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PaceServe: Priority-Adaptive Coordinated Execution for LLM Inference Tasks
A. Ikram, X. Li, S. Elnikety, S. Bagchi
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Fast Container Orchestration for Dynamic and Ephemeral Workloads
A. Alaei, M. Karsten
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Rethinking Virtual Machine Monitors for Better Security in Clouds
A Mehrab, R. Nikolaev, B. Ravindran
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JITTER: A Framework for Dynamic Operating-System Specialisation that came Just-in-Time
M. Ott, P. Raffeck, V. Sieh, W. Schröder-Preikschat, R. Kapitza, H. Herzog, T. Hönig
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CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-tenant LLM Serving Systems
P. Pennas, K. Papaioannou, M. Guarnieri, T. Doudali
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Seeing Through NAT with Ripple: Retrofitting Service Dependency Discovery in Networked Distributed Systems
D. Landau, G. Blanken, J. Barbosa, N. Saurabh
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ConfPG Confidential Process Groups: Zero-Effort Configuration for Process-Based TEEs
R. Schambach, P. Kariuki, A. Martin, C. Fetzer
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Aceso: Latency-Aware Geo-Distribution of Microservices for Cost-Effective Carbon Reduction
G. Christofidi, F. Álvarez-Terribas, I. Roumpous, N. Kourtellis, J. Iglesias, T. Doudali
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User-Space Priority-Aware GPU Sharing for Modern Machine Learning Inference Stacks
A. Peri, V. Kalogeraki
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SymbPart: Efficient Key-Value Store Partitioning via Symbolic Execution
F. Rola, A. Hyvärinen, P. Romano, M. Matos
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ros2probe: Non-intrusive, Kernel-selective Observability for Robot Operating System 2 Middleware
J. Yu, S. Lee, Y. Choi, K. Park
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Predictive Append: A New I/O Mechanism for Intra-Zone Parallelism in ZNS-Supporting File Systems
Y. Ro, C. Lee, S. Hwang, J. Hwang, H. Kim, Y. Kim
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Harness Engineering for Physical AI: Robot Middleware Is the Harness Layer
S. Lee, J. Chae, K. Park
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A Tale of Scale: Enabling Scalable and Holistic Storage QoS for Exascale HPC Systems
M. Miranda, Y. Tanimura, J. Haga, A. Ruhela, S. Harrell, J. Cazes, J. Pereira, R. Macedo, J. Paulo
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Memory as Middleware for Self-Improving AI Agents
K. Jayaram, V. Ishakian, V. Muthusamy, G. Thomas, P. Oum, G. Fang
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No More Idle GPUs: Decoupling GPU Contexts from Container Lifetimes in Serverless ML Inference
M. Pandey, Y. Kwon
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What Memory Is Worth: Allocating a Shared Budget from RL Reward Curves
K. Bora
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ClosureFlow: Reifying Closure Semantics for Sound Taint Analysis of Cloud-Native Code
Y. Wang, Y. Zhou, J. Ji, H. Si, S. Cao, X. Zhang
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Mazu: Keyless Workload Authentication for Service Meshes
A. Poudel, P. Niroula, C. MacDonald, L. Gloudemans, S. Herwig
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Nemo-Nemo: CFT DAG-based Consensus in the WAN
R. Kerur, P. Tennage, P. Jovanovic, D. Malkhi, A. Sonnino, I. Zablotchi
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STLT: A Novel System for Energy-Aware Distributed Inference in the Edge-Cloud-Space Continuum
A. Stanisic, M. Gravara, J. Herrera, S. Nastic
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FaaSpot: Fault-Tolerant Serverless Workflow Execution on Spot Instances
B. Patel, S. Harsha, K. Oh, I. Kim
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TierScale: Power Management for CXL-Enabled Tiered Memory
H. Park, G. Park, K. Kang, S. Lee, C. Kim, D. Kim
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Exhaustive system call interception on RISC-V
O. Monticelli, M. Santimaria, M. Aldinucci, I. Colonnelli
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Fulcrum: Optimizing Concurrent DNN Training and Inference on Edge Accelerators
P. K., S. Taluri, P. Gupta, A. Saikia, K. Sahoo, A. Joshi, L. Karwa, K. Dhule, Y. Simmhan
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ODIN: An Incremental Federated Learning Framework for Open-World Class Discovery in Smart Cities
R. Banerjee, A. Sharma, D. Mehta, M. Nepal, S. Gawali, Y. Simmhan
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ZeroRAG: Adaptive Semantic Peer Routing for Decentralized Retrieval-Augmented Generation
P. Neague, Q. Stokkink, M. de Vos, R. Pires, M. Randl, A. Kermarrec, J. Pouwelse
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Catapults to the Rescue: Accelerating Vector Search by Exploiting Query Locality
S. Abuzakuk, A. Kermarrec, R. Pires, M. Randl, M. de Vos
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Fidelis: Exploiting Task Similarity for Low-overhead Distributed Workflow Audit and Replay
T. Azaz, R. Ahmad, A. Adibifar, D. Thain, T. Malik