default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID14th SoCC 2023: Santa Cruz, CA, USA
- Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, Santa Cruz, CA, USA, 30 October 2023 - 1 November 2023. ACM 2023
- Joel Wolfrath
, Abhishek Chandra:
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. 1-16 - John Thiede, Noman Bashir, David E. Irwin, Prashant J. Shenoy:
Carbon Containers: A System-level Facility for Managing Application-level Carbon Emissions. 17-31 - Suyi Li, Wei Wang, Jun Yang, Guangzhen Chen, Daohe Lu:
Golgi: Performance-Aware, Resource-Efficient Function Scheduling for Serverless Computing. 32-47 - Yuqiu Zhang, Tongkun Zhang, Gengrui Zhang, Hans-Arno Jacobsen:
Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud. 48-64 - Fadhil I. Kurnia, Arun Venkataramani:
Oblivious Paxos: Privacy-Preserving Consensus Over Secret-Shares. 65-80 - Tom Kuchler, Michael Giardino, Timothy Roscoe, Ana Klimovic:
Function as a Function. 81-92 - Tong Xing, Cong Xiong, Chuan Ye, Qi Wei, Javier Picorel, Antonio Barbalace:
Maximizing VMs' IO Performance on Overcommitted CPUs with Fairness. 93-108 - Xinkai Wang, Hao He, Yuancheng Li, Chao Li, Xiaofeng Hou, Jing Wang, Quan Chen, Jingwen Leng, Minyi Guo, Leibo Wang:
Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. 109-124 - Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Efficient Federated Learning via Scalable Client Clustering. 125-141 - Xiangfeng Zhu, Guozhen She, Bowen Xue, Yu Zhang, Yongsu Zhang, Xuan Kelvin Zou, Xiongchun Duan, Peng He, Arvind Krishnamurthy, Matthew Lentz, Danyang Zhuo, Ratul Mahajan:
Dissecting Overheads of Service Mesh Sidecars. 142-157 - Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang:
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation. 158-176 - Arshia Moghimi, Joe Hattori, Alexander Li, Mehdi Ben Chikha, Mohammad Shahrad:
Parrotfish: Parametric Regression for Optimizing Serverless Functions. 177-192 - Frederic Boesel, Livio Schläpfer, Haris Pozidis, Mitch Gusat:
Multivariate Anomaly Detection with Domain Clustering. 193-199 - Hong Guan, Saif Masood, Mahidhar Reddy Dwarampudi, Venkatesh Gunda, Hong Min, Lei Yu, Soham Nag, Jia Zou:
A Comparison of End-to-End Decision Forest Inference Pipelines. 200-215 - Lokesh N. Jaliminche, Chandranil Nil Chakraborttii, Changho Choi, Heiner Litz:
Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling. 216-232 - Junseung You, Kyeongryong Lee, Hyungon Moon, Yeongpil Cho, Yunheung Paek:
KVSEV: A Secure In-Memory Key-Value Store with Secure Encrypted Virtualization. 233-248 - Xiaolong Wu, Dave Jing Tian, Chung Hwan Kim:
Building GPU TEEs using CPU Secure Enclaves with GEVisor. 249-264 - Binghao Chen, Han Zhao, Weihao Cui, Yifu He, Shulai Zhang, Quan Chen, Zijun Li, Minyi Guo:
Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo. 265-280 - Runxiang Cheng, Chris Cai, Selman Yilmaz, Rahul Mitra, Malay Bag, Mrinmoy Ghosh, Tianyin Xu:
Towards GPU Memory Efficiency for Distributed Training at Scale. 281-297 - Andreas Haeberlen, Linh Thi Xuan Phan, Morgan McGuire:
Metaverse as a Service: Megascale Social 3D on the Cloud. 298-307 - Wu Xiang, Yakun Li, Yuquan Ren, Fan Jiang, Chaohui Xin, Varun Gupta, Chao Xiang, Xinyi Song, Meng Liu, Bing Li, Kaiyang Shao, Chen Xu, Wei Shao, Yuqi Fu, Wilson Wang, Cong Xu, Wei Xu, Caixue Lin, Rui Shi, Yuming Liang:
Gödel: Unified Large-Scale Resource Management and Scheduling at ByteDance. 308-323 - Qiangyu Pei, Yongjie Yuan, Haichuan Hu, Qiong Chen, Fangming Liu:
AsyFunc: A High-Performance and Resource-Efficient Serverless Inference System via Asymmetric Functions. 324-340 - Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella:
Flame: Simplifying Topology Extension in Federated Learning. 341-357 - Andrew Audibert, Yang Chen, Dan Graur, Ana Klimovic, Jirí Simsa, Chandramohan A. Thekkath:
tf.data service: A Case for Disaggregating ML Input Data Processing. 358-375 - Yuanjiang Ni, Pankaj Mehra, Ethan L. Miller, Heiner Litz:
TMC: Near-Optimal Resource Allocation for Tiered-Memory Systems. 376-393 - Ning Li, Hong Jiang, Hao Che, Zhijun Wang, Minh Q. Nguyen, Todd Rosenkrantz:
User Disengagement-Oriented Target Enforcement for Multi-Tenant Database Systems. 394-409 - Tapan Chugh, Srikanth Kandula, Arvind Krishnamurthy, Ratul Mahajan, Ishai Menache:
Anticipatory Resource Allocation for ML Training. 410-426 - Jianshu Liu, Shungeng Zhang, Qingyang Wang:
μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in Cloud. 427-442 - Artjom Joosen, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Luke Nicholas Darlow, Jianfeng Wang, Adam Barker:
How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads. 443-458 - Gang Liao, Daniel J. Abadi:
FileScale: Fast and Elastic Metadata Management for Distributed File Systems. 459-474 - Qingyuan Liu, Dong Du, Yubin Xia, Ping Zhang, Haibo Chen:
The Gap Between Serverless Research and Real-world Systems. 475-485 - Myoungsung You, Jaehyun Nam, Minjae Seo, Seungwon Shin:
HELIOS: Hardware-assisted High-performance Security Extension for Cloud Networking. 486-501 - Yazhuo Zhang, Rebecca Isaacs, Yao Yue, Juncheng Yang, Lei Zhang, Ymir Vigfusson:
LatenSeer: Causal Modeling of End-to-End Latency Distributions by Harnessing Distributed Tracing. 502-519 - Yihua Cheng, Hui Zhang, Junchen Jiang:
Online Profiling and Adaptation of Quality Sensitivity for Internet Video. 520-527 - Seong-Joong Kim, Myoungsung You, Byung Joon Kim, Seungwon Shin:
Cryonics: Trustworthy Function-as-a-Service using Snapshot-based Enclaves. 528-543 - Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali:
Is Machine Learning Necessary for Cloud Resource Usage Forecasting? 544-554 - Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi:
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. 555-571 - Tao Ji, Divyanshu Saxena, Brent E. Stephens, Aditya Akella:
Yama: Providing Performance Isolation for Black-Box Offloads. 572-587 - Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. 588-596 - Zhengyu Lei, Xiao Shi, Cunchi Lv, Xiaobing Yu, Xiaofang Zhao:
Chitu: Accelerating Serverless Workflows with Asynchronous State Replication Pipelines. 597-610
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 2025-03-08 00:34 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:
