default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID18th IEEE CLOUD 2025: Helsinki, Finland
- Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Dan Chen, Sumi Helal, Sasu Tarkoma, Qiang He, Tevfik Kosar, Claudio A. Ardagna, Feras Awaysheh, Volker Hilt, Yogesh Simmhan:
18th IEEE International Conference on Cloud Computing, CLOUD 2025, Helsinki, Finland, July 7-12, 2025. IEEE 2025, ISBN 979-8-3315-5557-3 - Lingfei Wang, Maria A. Rodriguez, Nir Lipovetzky:
Accelerating RL-Based Scheduler Adaptation with Transfer Learning in Evolving HPC Architectures. 1-11 - Dalal Alharthi, Rozhin Yasaei:
LLM-Powered Automated Cloud Forensics: From Log Analysis to Investigation. 12-22 - Hyunseung Jung, HyungJun Kim, Heonchang Yu:
Korel: Mitigating Stragglers via Real-Time Automatic Mixed Precision in Distributed Deep Learning Environments. 23-31 - Jovan Prodanov, Blaz Bertalanic, Carolina Fortuna, Shih-Kai Chou, Matjaz B. Juric, Ramon Sanchez-Iborra, Jernej Hribar:
Multi-Agent Reinforcement Learning-Based In-Place Scaling Engine for Edge-Cloud Systems. 32-42 - Julien Soulé, Jean-Paul Jamont, Michel Occello, Louis-Marie Traonouez, Paul Théron:
Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework. 43-53 - Ewan Warburton, Abdessalam Elhabbash, Saad Ezzini, Yehia Elkhatib:
The IoT Whisperer: A Framework for Intelligent IoT Service Composition Through LLMs. 54-64 - Peini Liu, Jordi Guitart:
Dynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on Kubernetes. 65-74 - Oliver Larsson, Thijs Metsch, Cristian Klein, Erik Elmroth:
ESTHER: Application-First Hardware-Level QoS-Enforcement for Cloud Native Environments. 75-85 - Mostafa Anouar Ghorab, Mohamed Aymen Saied:
Towards Secure Cloud-Native Computing: Unveiling Kubernetes Misconfigurations with Large Language Models. 86-96 - Jiawen Liu, Yuehao Xu, Zhijun Ding:
Is Your Cluster Truly Fully Loaded? Exploring Shadow Resources in Host State Synchronization. 97-108 - Jacopo Bufalino, Jose Luiz Martin Navarro, Aleksi Peltonen, Tuomas Aura:
Helm-ET: Reducing Exposure to Lateral Movement in Kubernetes Artifacts. 109-120 - Seokwon Choi, Hyeonsang Eom:
HeteroScheduler: Dynamic Task Scheduling for CPU-GPU Optimization and Contention Mitigation in Cloud Data Centers. 121-131 - Minjae Kang, Heonchang Yu:
MOBOS: Co-Optimizing Cost and Execution Time in Serverless Workflow with Multi-Objective Bayesian Optimization. 132-142 - Christopher Lohse, Diego Tsutsumi, Amadou Ba, Pavithra Harsha, Chitra Subramanian, Martin Straesser, Marco Ruffini:
Causal Latency Modelling for Cloud Microservices. 143-151 - Rui Li, Devesh Tiwari, Gene Cooperman:
HotSwap: Enabling Live Dependency Sharing in Serverless Computing. 152-162 - Takeshi Yoshimura, Tatsuhiro Chiba, Manish Sethi, Daniel G. Waddington, Swaminathan Sundararaman:
Speeding up Model Loading with Fastsafetensors. 163-174 - Kihyun Kim, Jinwoo Kim, Hyunsun Chung, Myung-Hoon Cha, Hong-Yeon Kim, Youngjae Kim:
Cost-Efficient VM Selection for Cloud-Based LLM Inference with KV Cache Offloading. 175-185 - Moshik Hershcovitch, Andrew Wood, Leshem Choshen, Guy Girmonsky, Roy Leibovitz, Or Ozeri, Ilias Ennmouri, Michal Malka, Sang (Peter) Chin, Swaminathan Sundararaman, Danny Harnik:
ZipNN: Lossless Compression for AI Models. 186-198 - Hyungwoo Lee, Kihyun Kim, Jinwoo Kim, Jungmin So, Myung-Hoon Cha, Hong-Yeon Kim, James J. Kim, Youngjae Kim:
Disk-Based Shared KV Cache Management for Fast Inference in Multi-Instance LLM RAG Systems. 199-209 - Kfir Toledo, Pravein Govindan Kannan, Michal Malka, Etai Lev-Ran, Or Ozeri, Vita Bortnikov, Ziv Nevo, Kathy Barabash:
ClusterLink: Redefining Application Connectivity for the Multi-cloud Era. 210-222 - Haida Zhang, Lin Sun, Zhengtong Zhang, Jiayang Xia, Ziang Huang, Jiansi Wang, Haopeng Chen, Yan Jiao, Yongming Xu:
Precomputation-Optimized Lakehouse Architecture for Online Analytical Processing Tasks. 223-232 - Mathew Falloon, Hui Ma, Gang Chen:
Energy-Aware Resource Allocation and Container Migration in Distributed Data Centers Under Variable Energy Pricing: A Genetic Programming Hyper-Heuristic Approach. 233-242 - Reza Farahani, Radu Prodan:
EnergyLess: An Energy-Aware Serverless Workflow Batch Orchestration on the Computing Continuum. 243-254 - Elvis Rodrigues, Jacob Goldverg, Tevfik Kosar:
Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters. 255-264 - Kuangyuan Li, Jingrun Zhang, Pengfei Chen, Hongyang Chen, Ruipeng Hong, Wanqi Yang, Chen Sun:
TraceWizard: End-to-End Distributed Tracing Across Host and Network Devices in Cloud. 265-276 - Pol G. Recasens, Ferran Agullo, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Jordi Torres, Josep Lluís Berral:
Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference. 277-287 - Marianna Ojanen, Maryam Sabzevari, Sándor Szedmák:
Efficient Microservice Monitoring Via Kernel Transformation and FFT Forecasting. 288-295 - Gaulthier Gain, Benoit Knott, Laurent Mathy:
Efficient Versioning for Unikernels. 296-307 - MohammadReza HoseinyFarahabady, Albert Y. Zomaya:
Real-Time Interference-Aware CPU and I/O Capping Mechanism for Multi-Tenant Containers. 308-317 - Angelo Marchese, Orazio Tomarchio:
SLO-Aware Container Orchestration on Kubernetes Clusters. 318-327 - Myeongjun Kim, Heonchang Yu:
ReSACO: A Meta Reinforcement Learning Method for Fast Offloading in Mobile Edge Computing. 328-338 - Sharmen Akhter, Eui-Nam Huh:
MSTH-Former: Optimizing Workload Prediction in Edge-Cloud Continuum with Multi-Scale Temporal and Hierarchical Knowledge Convergence and Distillation. 339-350 - Manish Pandey, Byungchul Tak, Young-Woo Kwon:
PROBA: Enhancing Serverless Edge Computing via Adaptive Task Scheduling and Probabilistic Resource Sharing. 351-361 - Pasindu Tennage, Antoine Desjardins, Lefteris Kokoris-Kogias:
RACS-SADL: Robust and Understandable Randomized Consensus in the Cloud. 362-373 - Robin Lichtenthäler, Guido Wirtz:
An Experimental Validation of Architectural Measures for Cloud-Native Quality Evaluations. 374-384 - Abdul Alim, Ali Sydney, Liran Schour, Abdullah Kayi, Laurent Schares, Pavlos Maniotis, Anand Singh, Bengi Karacali:
Routing Strategies for RoCE Networks in AI Clouds. 385-396 - Dongzhao Song, Jingfan Meng, Qianru Yu, Jun Jim Xu:
QPS- Fit: An Efficient and Performant Parallel Algorithm for Hybrid Optical and Packet Switching. 397-408 - Hokun Park, Donggyun Kim, HyungJun Kim, Gyujeong Lim, Heonchang Yu:
HEART: Heterogeneous-Aware Traffic Allocation in Multi-Replica Deployments on Kubernetes. 409-419 - Junseo Jang, Jaehyun Hwang:
Optimizing Receive Flow Steering for Mixed Traffic in High-Performance Cloud Datacenters. 420-429 - Seungmin Shin, Leeiu Kim, Wookyung Lee, Eyee Hyun Nam, Seungmin Kim, Bryan S. Kim, Sungjin Lee, Eunji Lee:
Avoiding Pitfalls in Networked Key-Value Store for Tiered Memory. 430-441 - Saman Akbari, Manfred Hauswirth:
Universal Workers: A Vision for Eliminating Cold Starts in Serverless Computing. 442-444 - Yue Zhu, Hao Yu, Chen Wang, Zhuoran Liu, Eun Kyung Lee:
Towards Efficient Key-Value Cache Management for Prefix Prefilling in LLM Inference. 445-447 - Ansar Rafique, Brian D. Marsden:
Automated LLM Deployment and Evaluation: A Cloud-Native Approach Using LLM-as-a-Judge. 448-450 - Milind Varma, Sai Venkat Malreddy, Liting Hu:
DNN-Adapt: Reinforcement Learning-Based Hybrid Batching for Efficient DNN Serving. 451-453 - Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini:
Game-Theoretic Reinforcement Learning for Task Optimization Under Time-Sensitive Constraints. 454-456 - Yewon Shin, Jonghyeok Park:
Revisiting SQL Statement Logging for SQLite on AWS S3. 457-459 - Germán T. Eizaguirre, Marc Hostau, Marc Sáanchez-Artigas:
Serverless Data Analytics (Finally) Bridging the Gap: Introducing the Ortzi DataFrame. 460-467 - Kemalcan Bora, Elli Kartsakli, Eduardo Quiñones Moreno:
Temporal Fusion Transformer Based Vertical Scaling Management for Kubernetes. 468-473
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-01-15 23:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
