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ORCID25th CCGrid 2025: Tromsø, Norway
- 25th IEEE International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2025, Tromsø, Norway, 19-22 May 2025. IEEE 2025, ISBN 979-8-3315-0935-4
- Yoochan Kim, Weikuan Yu, Hong-Yeon Kim, Youngjae Kim:
MEMORYBRIDGE: Leveraging Cloud Resource Characteristics for Cost-Efficient Disk-Based GNN Training via Two-Level Architecture. 1-10 - Theo Radig, Holger Karl:
Draco: Dynamic Resource Allocation for Concurrent ML Applications. 11-20 - Haiying Shen, Zeyu Zhang:
Deep Learning Training Job Scheduling for Proactive Straggler Reduction. 1-12 - Sejeong Oh, Soyang Baek, Gordon Euhyun Moon, Sungyong Park:
Equilibria: Co-Optimizing Energy and Latency in Online ML-Based Stream Processing Systems. 33-42 - Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
Power- and Fragmentation-Aware Online Scheduling for GPU Datacenters. 43-52 - Ellie Lipe, Neel Karia, Connor Espenshade, Clifford Stein, Asser N. Tantawi, Olivier Tardieu:
Energy Efficient Scheduling of AI/ML Workloads on Multi Instance Gpus with Dynamic Repartitioning. 53-62 - Komal Thareja, Krishnan Raghavan, Anirban Mandal, Pawel Zuk, Imtiaz Mahmud, Mariam Kiran, Ewa Deelman:
A Greedy Consensus-Based Approach to Distributed Job Selection: Toward Fully-Decentralized Workload Management System. 63-72 - Akhil Alasandagutti, Joshua Suetterlein, Jesun Firoz, Stephen J. Young, Joseph B. Manzano, Jason R. Stewart, Patrick G. Bridges, Trilce Estrada, Kevin J. Barker:
Scaling Laws for the Workload Throughput of Emerging Heterogeneous Clusters. 73-82 - Dante D. Sánchez-Gallegos, José Luis González Compeán, Maxime Gonthier, Valérie Hayot-Sasson, J. Gregory Pauloski, Haochen Pan, Kyle Chard, Jesús Carretero, Ian T. Foster:
Dynostore: A Wide-Area Distribution System for the Management of Data Over Heterogeneous Storage. 83-92 - Remo Andreoli, Tommaso Cucinotta:
DistWalk: A Distributed Workload Emulator. 1-10 - Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri:
Advances in Appfl: a Comprehensive and Extensible Federated Learning Framework. 1-11 - Duy Phuong Nguyen, J. Pablo Muñoz, Tanya G. Roosta, Ali Jannesari:
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency. 1-10 - Ahyeon Lim, Sooho Jang, Jaehwan Lee:
P2P-Fed: A Decentralized Federated Learning Platform on Structured Peer-to-Peer Systems. 124-133 - Junzhou Xu, Boyu Diao, Chengqiang Qi, Shaobo Zhao, Ruisheng Wang, Yongjun Xu:
A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning. 1-8 - Seunghwan Kim, Changjong Kim, Alex Sim, Kesheng Wu, Houjun Tang, Sunggon Kim:
Swiftn: Accelerating Quantum Circuit Simulation Through Tensor Optimization. 142-153 - Lucas C. Cardoso, Marco A. Marques, Pedro Henrique Barcha Correia, Henrique Zanela Cochak, Charles Christian Miers, Marcos A. Simplício Jr.:
Next-Generation SPIFFE/SPIRE Identity Management Systems with Post-Quantum Cryptography Algorithms. 154-163 - Pradeep Kumar Mantha, Florian J. Kiwit, Nishant Saurabh, Shantenu Jha, André Luckow:
Pilot-Quantum: A Middleware for Quantum-HPC Resource, Workload and Task Management. 1-10 - Vaibhav Jha, Shikhar Srivastava, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Varad Kulkarni, Anupama Ray, Yogesh Simmhan:
Choreography and Profiling of Quantum-Classical FaaS Workflows on Hybrid Clouds. 1-11 - Cèdric Prigent, Kate Keahey, Alexandru Costan, Loïc Cudennec, Gabriel Antoniu:
On the Reproducibility Challenges of Federated Learning: Investigating the Gap Between Simulation, Emulation and Real-World Deployments. 185-194 - Amritesh Kumar, Monu Nagar, Lokendra Vishwakarma, Debasis Das:
Resolving Blockchain's Immutable Dilemma. 1-10 - Haradhan Ghosh, Debasis Das, Satya Bagchi:
UMAPE: A UAV-Assisted Secure Mutual Authentication Protocol Using Edge-Computing for Enhanced IoV Systems. 205-214 - Paige Hansen, Nathan Orwick, Kassidy Barram, Pierce Smith, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Archimedes: A Framework to Support Distributional Similarity Analysis over Arbitrary Spatiotemporal Scopes at Scale. 215-225 - Xuefeng Zhang, Peng Qu, Tingji Zhang, Xiang Fei, Youhui Zhang:
SoftGuide: A Hardware-Software Co-design Predictor for Data-Dependent Branches. 226-235 - Qingjie Zeng, Xiaojian Liao, Xianqiang Luo, Jiwu Shu:
Offloading File System Clients onto a Data Processing Unit (DPU) with DPUFS. 236-245 - Ram Sharan Chaulagain, Tusher Chandra Mondol, Saptarshi Bhowmik, Xin Yuan:
Exploiting Software-Defined Networking Technology for Improving Ugal Routing in Dragonfly Networks. 246-255 - Marc Sánchez Artigas, Julen Bohoyo Bengoetxea:
Let It Unthread: The Good, the Bad and the Ugly Within Webassembly Portable Multithreading. 256-265 - Lorenzo Carnevale, Daniel Balouek, Serena Sebbio, Manish Parashar, Massimo Villari:
Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning. 266-275 - Yinan Cao, Etienne Rivière, Ramin Sadre:
LASSY: A Latency-Aware SLOs-Sufficing Scheduling System for the Cloud/Edge Continuum. 276-285 - Minwoo Kang, Taeshin Kang, Joon-Min Gil, Heonchang Yu:
SUPLEC:Microservice Scheduling Under Unexpected Peak Load in the Edge-Cloud Continuum. 1-10 - Jonathan Will, Lauritz Thamsen, Jonathan Bader, Odej Kao:
Flora: Efficient Cloud Resource Selection for Big Data Processing Via Job Classification. 296-304 - Jakob Nibler, Thomas Ropars:
Carbon Footprint of Storage in Data Centers: the Impact of Using Ssds for Key-Value Stores. 305-314 - Seyed Morteza Nabavinejad, Weiwei Jia, Shubbhi Taneja, Tian Guo:
CarbonDIS: Carbon-Aware DNN Inference Scheduling on Heterogeneous GPUs. 315-324 - Kathleen West, Fabian Lehmann, Vasilis Bountris, Ulf Leser, Yehia Elkhatib, Lauritz Thamsen:
Exploring the Potential of Carbon-Aware Execution for Scientific Workflows. 325-328 - Kevin Mooney, John Durkin, Samson Koshy, Sushil Khadka, Jiawei Tyler Gu, Reza Farivar:
Dynamic Load Scaling via Distributed Trace Sampling and Analysis. 1-4 - Yeonwoo Jeong, Kyuli Park, Sungyong Park:
Streamrag: a Lock-Aware and Traffic-Aware Query Coordinator in Stream-Based Rag Systems. 1-10 - Ze Wang, Tim Süß, André Brinkmann, Lars Nagel:
Contenders: Predicting Cache Contention of Co-Scheduled Applications. 343-352 - Matthieu Bettinger, Etienne Rivière, Sonia Ben Mokhtar, Anthony Simonet-Boulogne:
Cool-Tee: Client-Tee Collaboration for Resilient Distributed Search. 353-362 - Zhen Jin, Yiquan Chen, Yijing Wang, Yin Du, Keyao Zhang, Jiexiong Xu, Wenhai Lin, Jingchang Qin, Kanghua Fang, Wenzhi Chen:
rInfer: A Generic and High-Performance Framework for Remote Inference with Heterogeneous Accelerators. 363-372 - Aakash Raj Dhakal, Tanzima Z. Islam, Arunavo Dey, Daniel Nichols, Abhinav Bhatele, Tapasya Patki, Tom Scogland, Jae-Seung Yeom:
xAMM: "Attention" to Details Improves Cross-Platform Prediction Accuracy. 1-10 - Paulo J. Araújo, Helena Fernández-López, Alexandre J. T. Santos:
Proactive Migration in Vehicular Edge Computing Using Machine Learning and Location Data. 383-392 - Md. Hasanur Rashid, Xinyi Li, Youbiao He, Forrest Sheng Bao, Dong Dai:
Dial: Decentralized I/O Autotuning Via Learned Client-Side Local Metrics for Parallel File System. 1-4 - Shingo Okuno, Yuta Yoshimoto, Nana Takeda, Yusuke Nagasaka, Ryo Kanada, Atsushi Tokuhisa, Yasushi Okuno:
Diverse, Stable, and Efficient All-Atom Structure Sampling Based on Parallelized Coarse-Grained Elastic Network Model. 1-11 - Jiyoon Bang, Gyuyeong Kim:
Network-Accelerated Multiget Coordination for Distributed Key-Value Stores. 408-419 - Ali Khan, Nigel Tan, Jack D. Marquez, Michela Taufer, Sanjukta Bhowmick:
ParaDyMS: Parallel Dynamic Motif Counting at Scale. 1-10 - Ritul Satish, Sacheendra Talluri, Sudarsan Sivakumar, Matthijs Jansen, Alexandru Iosup:
Performance Characterization of Data Store Event Trigger Mechanisms for Serverless Computing. 440-449 - Saman Akbari, Manfred Hauswirth:
Hiku: Pull-Based Scheduling for Serverless Computing. 450-461 - Tianyu Qi, Maria A. Rodriguez, Rajkumar Buyya:
ScalaSSC: Scalable Stateful Serverless Computing for Stream Processing Applications. 462-471 - Ryubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit:
An Optimization Technique for Hiding Communication Costs in 3D Parallel Training of Deep Learning. 472-481 - Shikhar Vashistha, Neetesh Kumar:
Dynamic Graph Learning for Systems Using Selective State Focused Attention Networks. 482-492 - Chen Yan, Boyu Diao, Hangda Liu, Zhulin An, Yongjun Xu:
A Nonlinear Hash-Based Optimization Method for SpMV on GPUs. 1-10 - Svetlana Kulagina, Anne Benoit, Henning Meyerhenke:
Memory-Aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures. 503-513 - Sicheng Zhou, Zhuozhao Li, Valérie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster:
Wrath: Workload Resilience Across Task Hierarchies in Task-Based Parallel Programming Frameworks. 1-11 - Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Ninon De Mecquenem, Ansgar Lößer, Sören Becker, Katarzyna Ewa Lewinska, Lauritz Thamsen, Ulf Leser:
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows. 525-538 - Daniel Flores-Martin, Miguel Mahillo, Felipe Lemus-Prieto, Javier Corral-García, Juan A. Rico-Gallego:
Improving Energy Efficiency in a Data Center: PUE Analyzing and Tuning. 1-10 - Farah Ferdaus, Xingfu Wu, Valerie Taylor, Zhiling Lan, Sanjif Shanmugavelu, Venkatram Vishwanath, Michael E. Papka:
Evaluating Energy Efficiency of Ai Accelerators Using Two Mlperf Benchmarks. 549-558 - Shashikant Ilager, Lukas Florian Briem, Ivona Brandic:
Green-Code: Learning to Optimize Energy Efficiency in Llm-Based Code Generation. 559-569 - Jeeseob Kim, Hongsu Byun, Seungjae Lee, Myoungjoon Kim, Youngjae Kim, Zaipeng Xie, Sungyong Park:
ECO-KVS: Energy-Aware Compaction Offloading Mechanism for LSM-Tree Based Key-Value Stores in Edge Federation. 570-579 - Saeedeh Baneshi, Anuj Pathania, Benny Akesson, Andy D. Pimentel, Ana Lucia Varbanescu:
Empowering Sustainability: Energy Labeling of Digital Services Using Simulation. 580-585 - Pierre Jacquet, Camille Coti, Marcos Dias de Assunção, Romain Rouvoy:
CINERGY: Reasoning Over the Worst Case Power Consumption of Cloud Virtual Machines. 586-589
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