| 2024 | 24th IEEE International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024, Philadelphia, PA, USA, May 6-9, 2024 |
| 2024 | A Bandwidth-Optimal All-to-All Communication in Two-Dimensional Fully Connected Network. Kien Trung Pham, Truong Thao Nguyen, Michihiro Koibuchi |
| 2024 | A Clustering-Oriented Method for Open-Domain Named Entity Recognition. Jiahui Li, Diange Zhou, Yilin Duan, Xinchuan Li, Hong Yao |
| 2024 | A Cross-Architecture Evaluation of WebAssembly in the Cloud-Edge Continuum. Sangeeta Kakati, Mats Brorsson |
| 2024 | A Distributed, Asynchronous Algorithm for Large-Scale Internet Network Topology Analysis. Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar |
| 2024 | A Formal Modeling and Verification Approach for IoT-Cloud Resource-Oriented Applications. Yassmine Gara Hellal, Lazhar Hamel, Mohamed Graiet, Daniel Balouek |
| 2024 | A Hybrid Solution to Provide End-to-End Flow Control and Congestion Management in High-Performance Interconnection Networks. Alberto Merino, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Fei Chen, Yunping Lyu, Long Yan, José Duato |
| 2024 | A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma |
| 2024 | A Preparing Approach to Manipulating Nested Data Structures. Jeffrey Myers II, Yaser Mowafi |
| 2024 | Accelerating Large Language Model Training with Hybrid GPU-based Compression. Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda |
| 2024 | Access-Based Carving of Data for Efficient Reproducibility of Containers. Rohan Tikmany, Aniket Modi, Raffay Atiq, Moaz Reyad, Ashish Gehani, Tanu Malik |
| 2024 | Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt |
| 2024 | AppSteer: Framework for Improving Multicore Scalability of Network Functions via Application-aware Packet Steering. Ashwin Kumar, Rajneesh Katkam, Pranav Chaudhary, Priyanka Naik, Mythili Vutukuru |
| 2024 | Benchmarking Performance of Various MQTT Broker Implementations in a Compute Continuum. Jasenka Dizdarevic, Marc Michalke, Admela Jukan, Xavi Masip-Bruin, Francesco D'Andria |
| 2024 | BlueJay: A Platform to Quantifying the Impact of Memory Latency on Datacenter Application Performance. Jingchang Qin, Yiquan Chen, Shishun Cai, Wenhai Lin, Jiexiong Xu, Zhen Jin, Lifa Cao, Zijie Zheng, Yuzhong Zhang, Yi Chen, Wenzhi Chen |
| 2024 | Brug: An Adaptive Memory (Re-)Allocator. Weikang Weng, Alexandru Uta, Jan S. Rellermeyer |
| 2024 | CINDA: Don't Ignore Instructions When Cloning Memory Access Behavior. Wenhai Lin, Yiquan Chen, Jiexiong Xu, Zhen Jin, Peiyu Liu, Shishun Cai, Yuzhong Zhang, Jingchang Qin, Yiquan Lin, Wenzhi Chen |
| 2024 | CMB: A Configurable Messaging Benchmark to Explore Fine-Grained Communication. W. Pepper Marts, Donald A. Kruse, Matthew G. F. Dosanjh, Whit Schonbein, Scott Levy, Patrick G. Bridges |
| 2024 | CNN Training Latency Prediction Using Hardware Metrics on Cloud GPUs. Yoonseo Hur, Kyungyong Lee |
| 2024 | COTuner: Joint Optimization of Resource Configuration and Software Parameters for Recurring Streaming Jobs on the Cloud. Hui Dou, Shanshan Zhu, Yuxuan Zhou, Yiwen Zhang, Jicheng Mei, Yang Wu, Jiaqing Dai |
| 2024 | Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei |
| 2024 | Data Sharing-Aware Algorithms for Task Allocation in Edge Computing Systems. Sanaz Rabinia, Daniel Grosu |
| 2024 | Dataplug: Unlocking extreme data analytics with on-the-fly dynamic partitioning of unstructured data. Aitor Arjona, Pedro García López, Daniel Barcelona Pons |
| 2024 | DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud. Yoochan Kim, Kihyun Kim, Yonghyeon Cho, Jinwoo Kim, Awais Khan, Ki-Dong Kang, Baik-Song An, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim |
| 2024 | Demystifying Swarm Learning: An Emerging Decentralized Federated Learning System. Jialiang Han, Yudong Han, Ying Zhang, Xiang Jing, Yun Ma |
| 2024 | Discovery of Floating-Point Differences Between NVIDIA and AMD GPUs. Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan |
| 2024 | Dual Adaptive Compression for Efficient Communication in Heterogeneous Federated Learning. Yingchi Mao, Zibo Wang, Chenxin Li, Jiakai Zhang, Shufang Xu, Jie Wu |
| 2024 | Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu |
| 2024 | Efficient and Budget-Balanced Decentralized Management of Federated Cloud and Edge Providers. George Darzanos, Thanasis G. Papaioannou, George D. Stamoulis |
| 2024 | Elasticity in a Task-based Dataflow Runtime Through Inter-node GPU Work Stealing. Joseph John, Josh Milthorpe |
| 2024 | EnC-IoT: An Efficient Encryption and Access Control Framework based on IPFS for Decentralized IoT. Mansub Song, Minji Lee, Sunggon Kim, Hyeonsang Eom, Yongseok Son |
| 2024 | FBTuner: A Feedback-Directed Approach for Safe Mixed-Precision Tuning. Xinyi Li, Ganesh Gopalakrishnan |
| 2024 | FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan |
| 2024 | Fair, Efficient Multi-Resource Scheduling for Stateless Serverless Functions with Anubis. Amit Samanta, Ryan Stutsman |
| 2024 | Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. Xin Hang, Yang Xu, Hongli Xu, Yunming Liao, Lun Wang |
| 2024 | HAPPIES: a History-Aware Efficient Cloud Resource Overcommitment System. Ziwei Huang, Shibo Tang, Zihao Chang, Lin Tan, Qichao Lu, Jian Ouyang, Wenbin Lv, Zhicheng Yao, Yungang Bao, Sa Wang |
| 2024 | HUILLY: A Non-Blocking Ingestion Buffer for Timestepped Simulation Analytics. Xiaorui Du, Andrea Piccione, Adriano Pimpini, Stefano Bortoli, Alois Knoll, Alessandro Pellegrini |
| 2024 | Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun |
| 2024 | HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge - The Case of IDS. Vincent Lannurien, Camélia Slimani, Laurent d'Orazio, Olivier Barais, Stéphane Paquelet, Jalil Boukhobza |
| 2024 | High-throughput Real-time Edge Stream Processing with Topology-Aware Resource Matching. Peng Kang, Samee U. Khan, Xiaobo Zhou, Palden Lama |
| 2024 | IDIOMS: Index-powered Distributed Object-centric Metadata Search for Scientific Data Management. Wei Zhang, Houjun Tang, Suren Byna |
| 2024 | Improved Parallel Application Performance and Makespan by Colocation and Topology-aware Process Mapping. Ioannis Vardas, Sascha Hunold, Philippe Swartvagher, Jesper Larsson Träff |
| 2024 | Improving the Efficiency of Serverless Computing via Core-Level Power Management. Du Liu, Jing Wang, Xinkai Wang, Chao Li, Lu Zhang, Xiaofeng Hou, Xiaoxiang Shi, Minyi Guo |
| 2024 | Incorporating Memory Sharing-awareness in Multi-VM Live Migration. Roja Eswaran, Mingjie Yan, Kartik Gopalan |
| 2024 | Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications. Ziren Xiao, Christopher Leckie, Maria A. Rodriguez |
| 2024 | Is the powersave governor really saving power? Darong Huang, Luis Costero, David Atienza |
| 2024 | Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing. Yixuan Wang, Abhishek Chandra, Jon B. Weissman |
| 2024 | Leveraging Multi-Modal Data for Efficient Edge Inference Serving. Joel Wolfrath, Anirudh Achanta, Abhishek Chandra |
| 2024 | MDSTGCN : Multi-Scale Dynamic Spatial-Temporal Graph Convolution Network With Edge Feature Embedding for Traffic Forecasting. Sijia Liu, Hui Xu, Fanyu Meng, Qianqian Ren |
| 2024 | MQTT2EdgePeer: a Robust and Scalable Brokerless Peer-to-Peer Edge Middleware for Topic-Based Publish/Subscribe. Saeed Rahmani, Amir Ali Pour, Camille Coti, Julien Gascon-Samson |
| 2024 | Multi-Objective Optimization for Joint Task Scheduling and Data Placement in Edge-based AIoT Systems: A Learning-Based Approach. Mingyan Fang, Xiao Liu, Jia Xu, Aiting Yao, Fengjie Tang, Xuejun Li |
| 2024 | Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation. Xingyue Wang, Huazhong Liu, Jihong Ding, Peng Tan |
| 2024 | Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks. Philipp Raith, Gourav Rattihalli, Aditya Dhakal, Sai Rahul Chalamalasetti, Dejan S. Milojicic, Eitan Frachtenberg, Stefan Nastic, Schahram Dustdar |
| 2024 | PireSPM: Efficient and Recoverable Secure Persistent Memory for Multi-cores. Weijie Huang, Bohong Zhu, Jiwu Shu, Shu Li, Zhengyong Wang, Yu Gao |
| 2024 | Power of Insensitivity: Fixing Threshold Truncation of Switch Buffer Management Policies. Yuan Lu, Dinghuang Hu, Guannan Zhang, Jie Shen, Dezun Dong |
| 2024 | Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning. Daegun Yoon, Sangyoon Oh |
| 2024 | Quantifying and Modeling Irregular MPI Communication. Carson Woods, Derek Schafer, Patrick G. Bridges, Anthony Skjellum |
| 2024 | Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization. Bailey J. Eccles, Leon Wong, Blesson Varghese |
| 2024 | Reviving Storage Systems Education in the 21 Animesh Trivedi, Matthijs Jansen, Krijn Doekemeijer, Sacheendra Talluri, Nick Tehrany |
| 2024 | SLO-Power: SLO and Power-aware Elastic Scaling for Web Services. Mehmet Savasci, Abel Souza, Li Wu, David Irwin, Ahmed Ali-Eldin, Prashant J. Shenoy |
| 2024 | SMART: Serverless Module Analysis and Recognition Technique for Managed Applications. Adi Ashkenazi, Edita Grolman, Aviad Elyashar, Dudu Mimran, Oleg Brodt, Yuval Elovici, Asaf Shabtai |
| 2024 | STRonG: System Topology Risk Analysis on Graphs. Lars Schneidenbach, Sandhya Koteshwara, Martin Ohmacht, Apoorve Mohan, Eun Kyung Lee |
| 2024 | Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression. Tiago Da Silva Barros, Frédéric Giroire, Ramon Aparicio-Pardo, Stéphane Pérennes, Emanuele Natale |
| 2024 | Sub-model Parallelism: A Scale-out Deployment Method for Large Multi-modal DNNs. Tianhao Huang, Lingyu Sun, Xiaofeng Hou, Xiaozhi Zhu, Xinfeng Xia, Yutong Wang, Mingxi Chen, Chao Li |
| 2024 | SweetspotVM: Oversubscribing CPU without Sacrificing VM Performance. Pierre Jacquet, Thomas Ledoux, Romain Rouvoy |
| 2024 | TacVar: Tackling Variability in Short-Interval Timing Measurements on X86 Processors. Qiucheng Liao, James Lin |
| 2024 | Tackling Memory Footprint Expansion During Live Migration of Virtual Machines. Roja Eswaran, Mingjie Yan, Kartik Gopalan |
| 2024 | TianheStar: Orchestrating SSSP Applications on Tianhe Supercomputer. Xinbiao Gan, Qian Tang, Feng Xiong, Shijie Li, Bo Yang, Tiejun Li |
| 2024 | Towards Better QoS and Lower Costs of P4 EIP Gateway at the Edge. Ming Yang, Xin Yang, Liang Xu, Yefei Hou, Long Xie, Yong Wang |
| 2024 | Towards an Intelligent Framework for Scientific Computational Steering in Big Data Systems. Yijie Zhang, Chase Q. Wu |
| 2024 | Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk, Nicolai Friis, Tobias Guggemos, Ivona Brandic |
| 2024 | Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha |
| 2024 | Workload-Aware Live Migratable Cloud Instance Detector. Junho Lim, Kyunghwan Kim, Kyungyong Lee |
| 2024 | XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms. Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan |
| 2024 | ZUFS: Enhancing Stability and Endurance in Mobile Devices with Integrated Zoned Namespaces in Universal Flash Storage. Pengbo Yan, Bohong Zhu, Zhirong Shen, Jiwu Shu, Jiadong Yang |
| 2024 | vASP: Full VM Life-cycle Protection Based on Active Security Processor Architecture. Jiayun Chen, Qihang Zhou, Weijuan Zhang, Nan Jiang, Yamin Xie, Xiaoqi Jia |