IEEE International Conference on Cloud Computing
CLOUD
B
CORE rank
CORE rank (raw)
B
Fields of research
Distributed Computing and Systems Software
Papers indexed
747
2010–2025
Papers per year
201086 peak2025
Most published authors
CLOUD papers
747 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | Chitu: Accelerating Serverless Workflows with Asynchronous State Replication Pipelines. | Zhengyu Lei, Xiao Shi, Cunchi Lv, Xiaobing Yu, Xiaofang Zhao |
| 2023 | Oblivious Paxos: Privacy-Preserving Consensus Over Secret-Shares. | Fadhil I. Kurnia, Arun Venkataramani |
| 2023 | Function as a Function. | Tom Kuchler, Michael Giardino, Timothy Roscoe, Ana Klimovic |
| 2023 | Cryonics: Trustworthy Function-as-a-Service using Snapshot-based Enclaves. | Seong-Joong Kim, Myoungsung You, Byung Joon Kim, Seungwon Shin |
| 2023 | How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads. | Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker |
| 2023 | Yama: Providing Performance Isolation for Black-Box Offloads. | Tao Ji, Divyanshu Saxena, Brent E. Stephens, Aditya Akella |
| 2023 | Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling. | Lokesh N. Jaliminche, Chandranil Nil Chakraborttii, Changho Choi, Heiner Litz |
| 2023 | CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. | Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi |
| 2023 | Metaverse as a Service: Megascale Social 3D on the Cloud. | Andreas Haeberlen, Linh Thi Xuan Phan, Morgan McGuire |
| 2023 | A Comparison of End-to-End Decision Forest Inference Pipelines. | Hong Guan, Saif Masood, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Soham Nag, Jia Zou |
| 2023 | OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation. | Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang |
| 2023 | Flame: Simplifying Topology Extension in Federated Learning. | Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella |
| 2023 | Anticipatory Resource Allocation for ML Training. | Tapan Chugh, Srikanth Kandula, Arvind Krishnamurthy, Ratul Mahajan, Ishai Menache |
| 2023 | Is Machine Learning Necessary for Cloud Resource Usage Forecasting? | Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali |
| 2023 | Online Profiling and Adaptation of Quality Sensitivity for Internet Video. | Yihua Cheng, Hui Zhang, Junchen Jiang |
| 2023 | Towards GPU Memory Efficiency for Distributed Training at Scale. | Runxiang Cheng, Chris Cai, Selman Yilmaz, Rahul Mitra, Malay Bag, Mrinmoy Ghosh, Tianyin Xu |
| 2023 | Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo. | Binghao Chen, Han Zhao, Weihao Cui, Yifu He, Shulai Zhang, Quan Chen, Zijun Li, Minyi Guo |
| 2023 | Multivariate Anomaly Detection with Domain Clustering. | Frederic Boesel, Livio Schlpfer, Haris Pozidis, Mitch Gusat |
| 2023 | tf.data service: A Case for Disaggregating ML Input Data Processing. | Andrew Audibert, Yang Chen, Dan Graur, Ana Klimovic, Jir Simsa, Chandramohan A. Thekkath |
| 2023 | Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. | Xinkai Wang, Hao He, Yuancheng Li, Chao Li, Xiaofeng Hou, Jing Wang, Quan Chen, Jingwen Leng, Minyi Guo, Leibo Wang |
| 2022 | PGPregel: an end-to-end system for privacy-preserving graph processing in geo-distributed data centers. | Amelie Chi Zhou, Ruibo Qiu, Thomas Lambert, Tristan Allard, Shadi Ibrahim, Amr El Abbadi |
| 2022 | Workload consolidation in alibaba clusters: the good, the bad, and the ugly. | Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang |
| 2022 | GreenDRL: managing green datacenters using deep reinforcement learning. | Kuo Zhang, Peijian Wang, Ning Gu, Thu D. Nguyen |
| 2022 | KOLE: breaking the scalability barrier for managing far edge nodes in cloud. | Jie Zhang, Chen Jin, Yuqi Huang, Li Yi, Yu Ding, Fei Guo |
| 2022 | Accelerating large-scale distributed neural network training with SPMD parallelism. | Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- A*INFOCOMIEEE International Conference on Computer Communications
- A*WWWInternational World Wide Web Conference
- AICDCSInternational Conference on Distributed Computing Systems
- A*SIGCOMMACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
- A*MOBICOMACM International Conference on Mobile Computing and Networking
- ADSNIEEE/IFIP International Conference on Dependable Systems and Networks
- AICWSIEEE International Conference on Web Services
- A*PODCACM Symposium on Principles of Distributed Computing