Attendees

Conference Program

Preliminary schedule for IEEE CCGrid 2026, 18-21 May 2026, Sydney, Australia. This page will be updated as the detailed technical program, room assignments, and speaker information are finalized.

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Monday, 18 May 2026

Tutorials and workshops day

Time	Conf Room 1	Conf Room 2	Conf Room 3	Conf Room 4
08:00 - 17:00	Registration: Foyer
09:00 - 10:30	Tutorial 1	CIC2	FL-RCE	Continuum-RI
10:30 - 11:00	Morning Tea
11:00 - 12:30	Tutorial 1	CIC2	FL-RCE	Continuum-RI
12:30 - 14:00	Lunch
14:00 - 15:30	Tutorial 2	CIC2	HEAD	Continuum-RI
15:30 - 16:00	Afternoon Tea
16:00 - 17:30	Research Mentorship			Continuum-RI
18:00 - 20:00	Welcome Reception: Foyer

Session Details

Tutorial and workshop details below were provided via the published tutorial and workshop programmes.

09:00 - 10:30

Tutorial 1: Harnessing HPC and AI for Interactive Analysis and Visualization of Large Scientific Datasets with the National Science Data Fabric (NSDF)

Tutorial overview and materials

Instructors: Prof. Michela Taufer and Prof. Valerio Pascucci

Session 1 of 2, 09:00 - 10:30

IEEE Workshop on Computational Intelligence in Cluster, Cloud, and Internet Computing (CIC²)

PredictScale: Proactive Autoscaling via Workload Forecasting for Cloud-Edge Microservices

Bablu Kumar, Anshul Verma, Pradeepika Verma and Rajkumar Buyya

09:00 - 09:20

Comparative Analysis of Model Pruning Approaches for Optimizing Small Language Models

Sneha Benny, Christina Terese Joseph and Manu Madhavan

09:20 - 09:40

Mango Leaf Health Classification for Drone Images Using Deep Learning in Cloud

Prince Ganeshwala, Dhruv Gohil, Sumedha Arora, Jaiprakash Verma and Bishwajit Poddar

09:40 - 10:00

Towards Monitoring-Driven and Workload-Aware Scheduling for Federated Learning in Cloud-Edge Environments

Pierluigi Dell'Acqua, Eleonora Di Pietro, Francesco La Rosa, Angelo Marchese, Orazio Tomarchio and Massimo Villari

10:00 - 10:20

Session 1 Wrap-Up / Transition

10:20 - 10:30

Workshop on Federated Learning for Resource Constraint Environments (FL-RCE)

Welcome

09:00 - 09:15

Edge-Native Federated LiDAR Analytics for Robust Guardrail Monitoring in Rural Environments

Maria Teresa Reggio, Francesco La Rosa, Pierluigi Dell'Acqua and Massimo Villari

Paper Presentation 1, 09:20 - 09:40

SpotFed: Cost-Efficient Federated Learning with Spot Instance Compensation

Myungjun Son, Woohyeon Baek, Mehrdad Mahdavi and Mahmut Kandemir

Paper Presentation 2, 09:45 - 10:05

Enhancing Fairness in Federated Learning Using Client Clustering and Personalized Models

Asifa Shah, Kenan Matawie and Bahman Javadi

Paper Presentation 3, 10:10 - 10:30

Research Infrastructures for Experimenting across the HPC-Cloud-Edge Continuum (Continuum-RI)

Welcome

09:30 - 09:40

Everything, Everywhere, All the Time: End-to-end Software Infrastructure for Real-time Coupling of HPC, AI, and IoT

Rich Wolski

Keynote, 09:40 - 10:30

11:00 - 12:30

Tutorial 1: Harnessing HPC and AI for Interactive Analysis and Visualization of Large Scientific Datasets with the National Science Data Fabric (NSDF)

Tutorial overview and materials

Instructors: Prof. Michela Taufer and Prof. Valerio Pascucci

Session 2 of 2, 11:00 - 12:30

IEEE Workshop on Computational Intelligence in Cluster, Cloud, and Internet Computing (CIC²)

Tutorial

Tutorial Speakers: Dr. Navid Yazdanjue and Prof. Amir H. Gandomi

11:00 - 12:00

A Federated Edge-AI Smart City Framework for Early Parkinson's Disease Detection Using Handwriting and Multimodal Digital Biomarkers

Mahtab Shahin, Riina Palu, Ralf-Martin Soe, Mohammad H. Nadimi-Shahraki and Amir H. Gandomi

12:00 - 12:25

Session 2 Wrap-Up

12:25 - 12:30

Workshop on Federated Learning for Resource Constraint Environments (FL-RCE)

Panel Discussion

11:00 - 12:30

Research Infrastructures for Experimenting across the HPC-Cloud-Edge Continuum (Continuum-RI)

Cloud-Native Distributed Data Layer for the Computing Continuum with Integrated Location-Aware Workflows

Michal Orzechowski, Łukasz Opioła, Bartosz Kryza, Bartosz Baliś, Lukasz Dutka, Renata G. Słota and Jacek Kitowski

11:00 - 11:30

Energy Malleable Computing Continuum

Carlos Jaime Barrios Hernandez, Frédéric Le Mouël and Oscar Carrillo

11:30 - 12:00

Towards IoT Rejuvenation: From Machine to Federated Learning Based Regression to Detect Sensor Ageing in Cloud-Edge Continuum

Antonio Celesti, Giovanni Lonia, Maria Fazio, Lyubomir Gotsev, Eugenia Kovatcheva, Denis Chikurtev, Antonino Quattrocchi, Roberto Montanini and Massimo Villari

12:00 - 12:30

14:00 - 15:30

Tutorial 2: Federated Learning for Edge Computing

Tutorial overview and materials

Instructors: Dr Nan Yang, A/Prof Rodrigo N. Calheiros, Prof Massimo Villari, Mark Gambito, and Prof Bahman Javadi

14:00 - 15:30

IEEE Workshop on Computational Intelligence in Cluster, Cloud, and Internet Computing (CIC²)

InfiTRON: An LLM-Powered Infrastructure for Monitoring, Intervention, and Technology Repair Operations Network

Timothy Tron and Abdelbaset Hamza

14:00 - 14:20

Unified Metadata Architecture and Workflow Automation for SEM Imaging in Support of FAIR and Open Science

Phyo Thandar Thant, Takashi Endo, Yuko Mori, Naomi Hirai, Masashi Takei, Takuya Yumine, Masaharu Munetomo, and Yasutaka Matsuo

14:20 - 14:40

About the Influence of Workflow Topology on Task Intensity Prediction through Graph Learning

Max Simon Otto, Haci Ismail Aslan, Joel Witzke, Jonathan Bader and Odej Kao

14:40 - 15:00

A Hybrid Multi-task Network Traffic Classification Model Based on Transformer and Mamba

Baiyang Zhou, Aniket Mahanti, Sudheer Kumar Battula and Ranesh Naha

15:00 - 15:20

Session 3 Wrap-Up / Closing Remarks

15:20 - 15:30

Healthcare Evolution through AI and Digital Twins (HEAD)

Session Welcome

14:00 - 14:05

Reproducible Analytics Workflow for Longitudinal Healthcare Digital Twins

Kunal Rehani and Kenan Matawie

14:05 - 14:25

Acoustic Features as Potential Vocal Biomarkers for Multiple Sclerosis

Salvatore Giugliano, Ilaria Basile, Raffaele Dubbioso, Rosa Iodice, Lucia Aruta and Giovanna Sannino

14:25 - 14:45

A Systems-Level Evaluation of Scalable Multimodal Architectures for Social Media Suicide Risk Detection

Vijayalakshmi Saravanan, Sai Karthik Navaluru, Khaled Z. Ibrahim and Lakshman Tamil

14:45 - 15:05

Physics-Informed Prediction of Uncertain Glucose Dynamics: Integrating Wong-Zakai Corrected Stochastic Differential Equations with Machine Learning

Rossella Laudani, Armando Ruggeri and Massimo Villari

15:05 - 15:25

Closing and Best Paper Award

15:25 - 15:30

Research Infrastructures for Experimenting across the HPC-Cloud-Edge Continuum (Continuum-RI)

Research Data Storage in the RI Continuum

David Abramson

Invited Talk, 14:00 - 15:00

Continuum-Aware Storage: Late-Bound Convergence for Unified Edge-to-Cloud Research Data Infrastructures

Jake Carroll, David Abramson and Bronis R. de Supinski

15:00 - 15:30

16:00 - 17:30

Research Infrastructures for Experimenting across the HPC-Cloud-Edge Continuum (Continuum-RI)

Failure Risks and Mitigations for a Wide-Area Digital Nervous System

Nicolas Erdody

Invited Talk, 16:00 - 17:00

Abstractions, Architecture and Implementation of a Modular IoT Edge Testbed

Loïc Guégan, Salma Tofaily and Issam Raïs

17:00 - 17:30

Tuesday, 19 May 2026

Main conference opening and technical sessions

Time	Conf Room 1	Conf Room 2	Conf Room 3	Conf Room 4
08:00 - 17:00	Registration: Foyer
09:00 - 09:30	Opening Ceremony
09:30 - 10:30	Keynote: Professor Song GuoExploring Edge Physical Intelligence: Extreme Quantization, Limitless Memory, and Rapid Evolution
10:30 - 11:00	Morning Tea
11:00 - 12:30	GPU-1	LLM-1	WORKFLOW	Doctoral Symposium
12:30 - 14:00	Lunch
14:00 - 15:30	GPU-2	LLM-2	AI-SEC	Posters
15:30 - 16:00	Afternoon Tea
16:00 - 17:30	HPC-SCH	AI-SYS	GREEN
17:30 - 18:30	Panel Discussion

Session Details

11:00 - 12:30

GPU Communication and HPC Acceleration (GPU-1)

Session Chair: Pierre Jacquet (ETS Montreal)

Kernel-Initiated One-Sided Networking for GPU-Accelerated AI Workloads

Khaled Hamidouche, John Bachan, Pak Markthub, Peter-Jan Gootzen, Elena Agostini, Sylvain Jeaugey, Aamir Shafi, Georgios Theodorakis and Manjunath Gorentla Venkata

Full paper

Mammoth: Macro-Level MPI Offloading to Off-path Accelerator in DPU

Jong-Bin Lee, Pu-Rum Seo, Ki-Moon Jeong and Hyun-Wook Jin

Full paper

Scalable, Topology- and Multi-HCA-Aware Hierarchical GPU Allgather Using Parallel Rings

Amirreza Barati Sedeh, Ryan Grant and Ahmad Afsahi

Full paper

Efficient LLM Inference Systems - 1 (LLM-1)

Session Chair: Mohsen Amini Salehi (University of North Texas)

Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling

Paul Joe Maliakel, Shashikant Ilager and Ivona Brandic

Full paper Best Student Paper Nominee

Quicktopia: Iteration-Level GPU Frequency Control for Energy-Latency Co-Optimization in LLM Inference

Soyang Baek, Bodon Jeong, Hongsu Byun and Sungyong Park

Full paper

ARKV: Adaptive Resource-Efficient KV Cache Management for Long Context LLM Inference under Memory Constraints

Jianlong Lei and Shashikant Ilager

Full paper

Distributed Workflow Management and Optimization (WORKFLOW)

Session Chair: Rodrigo Calheiros (Western Sydney University)

ElastiFlow: Elastic Resource Management for Iterative Scientific Workflows in Hybrid HPC-Cloud Infrastructure

Srishti Dasgupta, Kavitha Subramaniam and Michael Gerndt

Full paper

Efficiently Reproducing Distributed Workflows in Notebook-based Systems

Talha Azaz, Raza Ahmad, Saiful Islam, Douglas Thain and Tanu Malik

Full paper

Compass: Optimizing Compound AI Workflows for Dynamic Adaptation

Milos Gravara, Juan Luis Herrera and Stefan Nastic

Full paper

Doctoral Symposium

Session Chair: Mohammad Goudarzi (Monash University)

Topology-Aware Task and Data Placement for Distributed Scientific Workflows

Sami Kharma, Tobias Wies, Björn Scheuermann and Florian Schintke

Doctoral Symposium paper

Energy-Efficient Federated Learning Approaches for Orbital Edge Computing

Bara'Ah Al-Blewi, Bahman Javadi and Rodrigo N. Calheiros

Doctoral Symposium paper

Accurate Synthetic Tasks for Scientific Workflow Benchmarks

Tobias Wies, Sami Kharma, Tobias Meuser and Björn Scheuermann

Doctoral Symposium paper

14:00 - 15:30

GPU Resource Management and Runtime Optimization (GPU-2)

Session Chair: Nick Brown (The University of Edinburgh)

ADVICE: Automatic Identification of Variables to Checkpoint through Compiler Augmentation

Xin Huang, Luanzheng Guo, Nathan Tallent and Kento Sato

Full paper

Enhanced SVM for Improving Application Performance under GPU Memory Oversubscription

Bennett Cooper, Thomas Scogland and Rong Ge

Full paper

Priority-Aware GPU Co-Scheduling for High Performance Computing

Naman Kulshreshtha, Tapasya Patki, Aniruddha Marathe, Tom Scogland and Rong Ge

Full paper

Efficient LLM Inference Systems - 2 (LLM-2)

Session Chair: Adel Toosi (The University of Melbourne)

EmbdC: Error-Bounded Lossy Video Embedding Compression For On-Device LLM Inference

Bo Jiang, Taolue Yang, Youyuan Liu, Sheng Di and Sian Jin

Full paper

LLM-Pilot: SLO-Aware and Cost-Efficient LLM Serving on Public Cloud VM Clusters via Offloading

Jinwoo Kim, Kihyun Kim, Hyunsun Chung, Jihoon Yang, James J. Kim, Dong Li and Youngjae Kim

Full paper

EAFAL: An Edge-Based Agentic Framework for Adaptive Selection between SLMs and LLMs

Chamara Madarasingha, Prajyot Singh, Redowan Mahmud, Mahbuba Afrin, Aneesh Krishna and Salil Kanhere

Full paper

Security and Reliability in AI Systems (AI-SEC)

Session Chair: Reza Farivar (University of Illinois)

Exploring Silent Data Corruption as a Reliability Challenge in LLM Training

Anton Altenbernd, Philipp Wiesner and Odej Kao

Full paper Best Paper Nominee

Noise-Aware Misclassification Attack Detection in Collaborative DNN Inference

Shima Yousefi and Saptarshi Debroy

Full paper

SeCI: A Framework for Self-Certified Identity for Autonomous AI Agents

Nehal Al-Otaiby, Mohammad Hammoudeh and Jameleddine Hassine

Full paper

Posters

Session Chair: Mohsen Amini Salehi (University of North Texas)

AccTS: Co-Design of OS Scheduling and System Architecture for Accelerator-Rich SoC

Weicong Xie, Qiyu Wu, Xiaoyang Wang, Minjie Fan and Jiwu Shu

Poster

Learning-Based Command Priority Scheduling for Tail Latency Reduction in Storage Systems

Zilong Liang, Ye Xu, Minjie Fan and Jiwu Shu

Poster

Network Telescope as a source of actionable information in near real-time

Marek Janiszewski, Jan Adamski, Marcin Rytel, Jakub Koman and Wojciech Sołtys

Poster

Empirical Analysis of GPU Frequency Behavior Under ML Workloads

Truong-Thanh Le, Hoang-Loc La, Amir Taherkordi, Frank Eliassen, Phuong Hoai Ha and Peiyuan Guan

Poster

AI-Enhanced CTI for SOCs: Practitioner Priorities from a Multi-Sector Survey

Anna Felkner and Antonio Monte Pegado

Poster

A High-Performance RAID-on-Chip SoC Design Implemented with 28nm CMOS Technology

Xu Gao, Qiyu Wu, Xiaoyang Wang, Minjie Fan and Jiwu Shu

Poster

FORE-Twin: Neuro-Symbolic Middleware for Latency-Aware Data Staging in Federated Digital Twin Systems

Jiwoo Han, Yangkoo Lee, Kyounghyun Park and Daesub Yoon

Poster

Edge-Based Perception-Driven Robotic System for Assistive Patient Care

Kanaka Sai Jagarlamudi, Rhys Tague, Jacob Desmond, Chng Wei Lau, Hao Wu, Anupama Ginige and Oliver Obst

Poster

16:00 - 17:30

HPC Scheduling and Execution Optimization (HPC-SCH)

Session Chair: Michela Taufer (University of Tennessee, Knoxville)

GASched: Goal-Adaptive Hierarchical Reinforcement Learning for Multi-Objective HPC Job Scheduling

Minsol Choo and Sangyoon Oh

Full paper

Reducing Backfill Failures from Workload Drift with Lightweight Uncertainty Buffers in HPC Job Scheduling

Jiheon Choi and Sangyoon Oh

Full paper

Automated Configuration of Power-Management Knobs for Optimal HPC Job Executions

Francesco Antici, Andrea Proia, Ryoma Ohara, Toshihiro Hanawa, Zeynep Kiziltan, Andrea Bartolini and Jens Domke

Full paper Best Paper Nominee

LLM / AI Training & Inference Systems (AI-SYS)

Session Chair: Nancy Yang (Western Sydney University)

Reuse-Aware Min-Cost Flow Scheduling for Distributed LLM Training in Hybrid Optical-Electrical Networks

Yifan Yang, Gongming Zhao, Hongli Xu and Huihui Tang

Full paper

Tula: Optimizing Time, Cost, and Generalization in Distributed Large-Batch Training

Sahil Tyagi and Feiyi Wang

Full paper

VEX: Scaling HNSW-Based Vector Search with DPU Memory and Parallelism

Kihwan Kim, Hyungsun Yoo, Woojung Kim, Donghyun Min, Myungcheol Lee, Jihoon Yang, Weikuan Yu and Youngjae Kim

Full paper

Energy, Sustainability & Carbon-Aware Computing (GREEN)

Session Chair: Massimo Villari (University of Messina)

Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing

Bowen Sun, Christos Antonopoulos, Evgenia Smirni, Bin Ren, Nikolaos Bellas and Spyros Lalis

Full paper

STEAM: Realistic Modeling and Systematic Exploration of Composable Techniques for Sustainable Datacenter

Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup and Tiziano De Matteis

Full paper

Spanergy: Energy-aware Distributed Tracing for Microservices

Cesar Perdigao Batista, Denis Conan and Sophie Chabridon

Full paper

Wednesday, 20 May 2026

Keynote, best-paper sessions, and community events

Time	Conf Room 1	Conf Room 2	Conf Room 3	Conf Room 4
08:00 - 17:00	Registration: Foyer
09:30 - 10:30	Keynote: Professor Kate Keahey"This is Not a Testbed": How to Build and Operate Experimental Infrastructure
10:30 - 11:00	Morning Tea
11:00 - 12:30	CLOUD	FL-1	OPT-SYS	SCALE Challenge
12:30 - 14:00	Lunch (Steering Committee)
14:00 - 15:30	EDGE-AI	FL-2	DATA-SYS-1	ICFEC 1
15:30 - 16:00	Afternoon Tea
16:00 - 17:30	EDGE-IoT	FL-3	DATA-SYS-2	ICFEC 2
19:30 - 22:30	Conference Gala Dinner

Session Details

11:00 - 12:30

Cloud Infrastructure and Orchestration (CLOUD)

Session Chair: Luiz Bittencourt (University of Campinas)

Larger Cloud Servers, Fewer Hosts? On the Evolution of VM Sizes in IaaS Platforms

Pierre Jacquet, Camille Coti and Marcos Dias De Assuncao

Full paper

TelePod: Live Migration for Stateful Containers

Mingjie Yan, Atharva Ranade, Xin Zhang and Kartik Gopalan

Full paper Best Student Paper Nominee

Cost-Justified Multi-type Resource Fair Scheduling for Kubernetes

Bo Yan, Sujoy Sikdar and Madhusudhan Govindaraju

Short paper

XCAgent: Automating Multi-Cloud Deployment of Agentic Workflows on FaaS Platforms

Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran and Yogesh Simmhan

Short paper

Federated / Decentralized Learning - 1 (FL-1)

Session Chair: Sangyoon Oh (Ajou University)

A Multi-Armed Bandit-Based Participant Selection Method for Federated Recommendation Systems

Jintao Liu, Mohammad Goudarzi and Adel N. Toosi

Full paper

FedMO: Mobility-Aware Client Selection in Federated Learning for Drone Delivery Systems

Jiang Yuan, Xiao Liu, Jia Xu, Aiting Yao, Frank Jiang and Xuejun Li

Full paper

Heterogeneous-Resource-Aware Federated Learning with Intelligent LoRA Allocation and Aggregation

Youye Xie, Yao Lian, Kevin Chen, Abdul Latif, Lingzhi Zhao and Reza Farivar

Full paper

Scheduling & Systems Optimization (OPT-SYS)

Session Chair: Carlos J. Barrios H. (INRIA)

AdaSched: A Performance-Driven Cluster Scheduler for Deep Learning Workloads using Deep Reinforcement Learning

Han Yin, Jialun Li, Xuan Mo and Weigang Wu

Full paper

Congestion-Aware Pricing for Fast and Efficient Edge-Cloud Computing

Polyzois Soumplis and Emmanouel Varvarigos

Full paper

SD-MoE: Scenario-Driven MoE Forecasting for Intelligent Elastic Scaling in Cloud Clusters

Xianzhao Guo, Weipeng Cao, Minxian Xu, Dachuan Li, Chuanfei Xu, Xi Tao and Zhong Ming

Full paper

SCALE Challenge

Session Chair: Michela Taufer (University of Tennessee, Knoxville)

Logical Scalability in Big Data Architectures: Impact of Data Modeling on the Database Layer

Rosario Napoli, Mark Adrian Gambito, Antonio Celesti, Massimo Villari and Maria Fazio

SCALE Challenge paper

A Scalable Computing Continuum Framework for Ambient Assisted Living

Jahedul Anowar, Koushikur Islam, Kanaka Sai Jagarlamudi, Bahman Javadi and Rodrigo Calheiros

SCALE Challenge paper

Breaking All-Reduce Bottlenecks with Asynchronous Influence Maximization at Scale

Shubhendra Pal Singhal, Ajay Mandadi, Akihiro Hayashi, Thomas M Conte and Vivek Sarkar

SCALE Challenge paper

MemScale: Real-Time Change Detection with Near-Linear Scale-Out on HPC Systems

Vijayalakshmi Saravanan, Sai Karthik Navaluru, Jon Ryan Cole, Khaled Z Ibrahim and Lakshman Tamil

SCALE Challenge paper

Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks

Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra Madanu, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali and Yogesh Simmhan

SCALE Challenge paper

14:00 - 15:30

Edge Systems for AI Agents (EDGE-AI)

Session Chair: Yogesh Sharma (University of Regina)

Orchestrating WASM-based MCP Tool Runtimes for AI Agents across Edge-Cloud Continuum

Moohyun Song, Hayoung Kim, Kyoohyun Lee, Jae Gi Son and Kyungyong Lee

Full paper

SwiftBot: A Decentralized Platform for LLM-Powered Federated Robotic Task Execution

Hailu Xu, Simon Zhang, Zhengxiong Li, Shuai Xu, Xiaokun Yang and Fangtian Zhong

Full paper

DriveCache: On-Board Compute Caching for Scalable Vehicular Edge Computing Networks

Suvarthi Sarkar, Aditya Gupta, Salil Kashyap and Aryabartta Sahu

Full paper

Federated / Decentralized Learning - 2 (FL-2)

Session Chair: Mohammad Goudarzi (Monash University)

Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes

Fatema Siddika, Md Anwar Hossen, Wensheng Zhang, Anuj Sharma, Juan Pablo Munoz and Ali Jannesari

Full paper

RDA-CAFL: Reputation-Dynamic and Distillation-based Asynchronous Conflict-Aware Federated Learning for UAV Networks

Jie Li, Pengyang Li, Liming Sun, Xingwei Wang and Yihang Zhang

Full paper

Evaluating Federated Learning Beyond Simulation: A Deployment-Aware Methodology

Mathis Valli, Cedric Tedeschi, Alexandru Costan, Loic Cudennec and Gabriel Antoniu

Full paper

Hardware-Aware Storage & Memory Systems (DATA-SYS-1)

Session Chair: Jongmoo Choi (Dankook University)

Making Variable-Size I/O Practical in ZNS SSDs

Sijie Lan, Abutalib Aghayev, Mahmut Kandemir and Umesh Maheshwari

Full paper

NIO-Cache: Device-Affinitive Page Cache Placement Mechanism for NUMA Systems

Jiazheng Zhang, Xiaoyang Wang and Jiwu Shu

Full paper

S-MSHR: A Scalable MSHR Architecture Using Cache Tag Data-Ready Bits and Index Queues

Shuang Wu, Xu Zhang, Yibin Xu, Yangyang Zhao, Tianyue Lu and Mingyu Chen

Full paper

Monitoring and Management in the Computing Continuum (ICFEC 1)

Session Chair: Yu Xiao (Aalto University)

K-Sense: A Non-Invasive eBPF Framework for QoS Inference

Abdullah Muslim, Ali Beiti Aydenlou and Stephan Recker

Cost-Effective Processing of IoT Data in the Computing Continuum

Vasileios Karagiannis, Drazen Ignjatovic, Antonios Iosifidis and Stefan Schulte

LLMEdger: Phase-Aware Model Parallelism Scheduler for LLM Inference on Edge

Xinyang Shen and Lena Mashayekhy

16:00 - 17:30

IoT & Edge Systems Performance (EDGE-IoT)

Session Chair: Yogesh Simmhan (Indian Institute of Science)

Benchmarking Message Brokers for IoT Edge Computing: A Comprehensive Performance Study

Tapajit Chandra Paul, Pawissanutt Lertpongrujikorn, Hai Nguyen and Mohsen Amini Salehi

Full paper Best Paper Nominee

Volatility-Aware Adaptive Context Caching for Real-Time Context-Aware IoT Applications

Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee and Arkady Zaslavsky

Short paper

Hierarchical Semi-Supervised Federated Learning for UAV-Enabled Fire Monitoring

Mark Adrian Gambito, Bahman Javadi, Lorenzo Carnevale and Massimo Villari

Short paper

Synthetic Data Generation for Storage Failure Prediction in Large-Scale Systems

Chandranil Chakraborttii, Ana Solorzano and Devesh Tiwari

Short paper

Federated / Decentralized Learning - 3 (FL-3)

Session Chair: Shaleeza Sohail (The University of Newcastle)

FedOort: A Fair and Efficient Optimization Method for Federated Learning

Zhaohua Zheng, Junhui Du, Qiquan Chen, Xu Han, Qijun Huang and Jin Zhang

Full paper

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT

Murtaza Rangwala, Richard Sinnott and Rajkumar Buyya

Full paper

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing

Nan Yang, Bahman Javadi, Rodrigo Neves Calheiros, David Boland and Philip Leong

Full paper

Data Systems & Storage Engines (DATA-SYS-2)

Session Chair: Laurent Lefevre (INRIA)

ARC: Adaptive Resource Coordination for Write-Stall Mitigation in LSM-Tree

Guangxun Zhao, Yongjie Zhu, Suhwan Shin, Seehwan Yoo and Jongmoo Choi

Full paper

Altocumulus: Enabling Efficient Erasure Coding in IPFS

Mohammad Rizk, Shadi Ibrahim and Thomas Lambert

Full paper

BucketLSM: What, After All, Is the I/O Bottleneck Behind L0 Key-Range Overlap in LSM-Based KV Stores?

Jaewan Park, Kyungwook Min, Sungjin Byeon, Taewan Noh, Hyungi Park, Xubin He, Hongyeon Kim and Youngjae Kim

Full paper Best Student Paper Nominee

Efficient On-Device Learning and Model Compression (ICFEC 2)

Session Chair: Stefan Schulte (TU Berlin)

Layer-Wise Weight Sharing for Efficient Transformer on SoCs

Saeed Khalilian Gourtani, Hang Xu, Nirvana Meratnia and Anuj Pathania

CORAL: Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference

Ahmad Nabhaan, Zaki Sukma, Rakandhiya Rachmanto, Muhammad Santriaji, Byungjin Cho, Arief Setyanto and In Kee Kim

Order-Aware Compression for RF-DETR on Edge Devices: Overcoming Graph Fragmentation and Quantization Instability

Farhan Mahmood, Michalis Karamousadakis, Antonis Porichis, Vishwanathan Mohan and Panagiotis Chatzakos

Thursday, 21 May 2026

Final technical sessions and closing

Time	Conf Room 1	Conf Room 2	Conf Room 3	Conf Room 4
08:00 - 17:00	Registration: Foyer
09:30 - 10:30	Keynote: Professor Muhammad UsmanCloud computing and security in the era of quantum processors
10:30 - 11:00	Morning Tea
11:00 - 12:30	EDGE-CLOUD	ML-SYS-1	EMERGE-SYS	ICFEC 3
12:30 - 14:00	Lunch
14:00 - 15:30	SERVERLESS-SEC	ML-SYS-2		ICFEC 4
15:30 - 16:00	Afternoon Tea

Session Details

11:00 - 12:30

Edge-Cloud Resource Management for AI Workloads (EDGE-CLOUD)

Session Chair: Anshul Verma (Banaras Hindu University)

Multi-Objective Load Balancing for Heterogeneous Edge-Based Object Detection Systems

Daghash Alqahtani, Maria Rodriguez, Muhammad Aamir Cheema and Adel N. Toosi

Full paper

Deep Reinforcement Learning-driven Edge Offloading for Latency-constrained XR pipelines

Sourya Saha and Saptarshi Debroy

Full paper

Decentralized Resource Sharing in Edge-Cloud Federations via Multi-Agent Hierarchical Reinforcement Learning

Panagiotis Kokkinakis, Polyzois Soumplis and Emmanouel Varvarigos

Full paper

Learning-Based Performance Modeling (ML-SYS-1)

Session Chair: Stefan Schulte (TU Berlin)

CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload

Amirhossein Shahbazinia, Darong Huang, Luis Costero and David Atienza

Full paper

PM2Lat: Highly Accurate and Generalized Prediction of DNN Execution Latency on GPUs

Truong-Thanh Le, Hoang-Loc La, Amir Taherkordi, Frank Eliassen, Phuong Hoai Ha and Peiyuan Guan

Full paper

Towards Proactive AIOps: Transfer Learning for Unsupervised Anomaly Detection via Bi-LSTM Autoencoder in the Computing Continuum

Danny De Novi, Lorenzo Carnevale and Massimo Villari

Full paper

Advances in Emerging Systems and Security (EMERGE-SYS)

Session Chair: Weisheng Si (Western Sydney University)

Efficient Concurrent GHZ State Distribution in Quantum Networks

Charles Cao, Weisheng Si, Jong Choi and Sajal Das

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QRAP: Adaptive Quantum-Safe Risk-Aware Prioritization for Cloud Applications

Surabhi Garg, Delton Myalil, Nidhi Singh, Shiv Shankar, Meena Singh Dilip Thakur and Rajan M A

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BCRLSecureLink: A Blockchain, Cryptography, and Reinforcement Learning-Based Defense Against Link Discovery Attacks in SDVN

Patikiri Arachchige Don Shehan Nilmantha Wijesekara, Harsha Sandaruwan Gardiyawasam Pussewalage, Kalupahana Liyanage Kushan Sudheera and Geeth Priyankara Wijesiri

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Lifting to tensors when compiling scientific computing workloads for AI Engines

Nick Brown and Gabriel Rodriguez-Canal

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Intelligent Infrastructure and Multi-Tier Orchestration (ICFEC 3)

Session Chair: Kanaka Sai Jagarlamudi (Western Sydney University)

Multi-Provider Caching in Multi-Tier Fog Networks

Ferdous Sharifi, Young Choon Lee and Shaahin Hessabi

NL-CPS: Reinforcement Learning-Based Kubernetes Control Plane Placement in Multi-Region Clusters

Sajid Alam, Amjad Ullah and Ze Wang

UAV-Enabled Integrated Sensing, Semantic Communication, and Computation: Disaster-Oriented Edge Computing and Sensing

Yaxi Liu, Wencan Mao, Xulong Li, Yu Xiao, Wei Huangfu and Keping Long

14:00 - 15:30

Security and Analysis of Serverless Systems (SERVERLESS-SEC)

Session Chair: Salil Kanhere (UNSW)

Kumo: A Security-Focused Serverless Cloud Simulator

Wei Shao, Chongzhou Fang, Khaled Khasawneh, Setareh Rafatirad and Houman Homayoun

Full paper

LogLearners: Identifying Compromised AI Functions in Serverless Systems

Adil Bin Bhutto, Erik Elmroth and Monowar Bhuyan

Full paper

PoliFlow: Inferring Control-Flow Policies from Serverless Workflows

Pedro Escaleira, Vitor A. Cunha, Joao P. Barraca, Diogo Gomes and Rui L. Aguiar

Full paper

ML Systems & Optimization (ML-SYS-2)

Session Chair: Ranesh Naha (Queensland University of Technology)

ACNNS: A Multi-interest Recommendation Model with Capsule Network

Yan Zhang, Xiaotong Cui, Nan Wang and Yingli Zhong

Full paper

InverseTune: Inverse Synthetic Fine-Tuning for Reliable Structured Output in Small Language Models

Markus Goetz and Hojjat Baghban

Short paper

SOtrain: Efficient LLM Fine-Tuning on a Consumer GPU via User-space I/O and Scheduling Optimizations

Zhengguo Liu, Hao Lan and Jiwu Shu

Short paper

RapidGNN: Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks

Arefin Niam, Tevfik Kosar and M. S. Q. Zulkar Nine

Short paper

Security and Coordination in Federated Learning (ICFEC 4)

Session Chair: Young Choon Lee (Macquarie University)

A Federated LLM-based Framework for DDoS Defense in Mobile Edge Computing

Shuo Zhang, Kousuke Mori and Toshio Hirotsu

Atlas Synchronization in the Hierarchical Federated Learning Continuum

Antonios Iosifidis, Vasileios Karagiannis and Stefan Schulte