SoCC

Publications

2023

Arshia Moghimi, Joe Hattori, Alexander Li, Mehdi Ben Chikha, Mohammad Shahrad
Parrotfish: Parametric Regression for Optimizing Serverless Functions. SoCC (2023)
Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC (2023)
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, Santa Cruz, CA, USA, 30 October 2023 - 1 November 2023 SoCC (2023)
Runxiang Cheng, Chris Cai, Selman Yilmaz, Rahul Mitra, Malay Bag, Mrinmoy Ghosh, Tianyin Xu
Towards GPU Memory Efficiency for Distributed Training at Scale. SoCC (2023)
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. SoCC (2023)
Qiangyu Pei, Yongjie Yuan, Haichuan Hu, Qiong Chen, Fangming Liu
AsyFunc: A High-Performance and Resource-Efficient Serverless Inference System via Asymmetric Functions. SoCC (2023)
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. SoCC (2023)
Tao Ji, Divyanshu Saxena, Brent E. Stephens, Aditya Akella
Yama: Providing Performance Isolation for Black-Box Offloads. SoCC (2023)
John Thiede, Noman Bashir, David E. Irwin, Prashant J. Shenoy
Carbon Containers: A System-level Facility for Managing Application-level Carbon Emissions. SoCC (2023)
Yuqiu Zhang, Tongkun Zhang, Gengrui Zhang, Hans-Arno Jacobsen
Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud. SoCC (2023)
Myoungsung You, Jaehyun Nam, Minjae Seo, Seungwon Shin
HELIOS: Hardware-assisted High-performance Security Extension for Cloud Networking. SoCC (2023)
Seong-Joong Kim, Myoungsung You, Byung Joon Kim, Seungwon Shin
Cryonics: Trustworthy Function-as-a-Service using Snapshot-based Enclaves. SoCC (2023)
Andrew Audibert, Yang Chen, Dan Graur, Ana Klimovic, Jirí Simsa, Chandramohan A. Thekkath
tf.data service: A Case for Disaggregating ML Input Data Processing. SoCC (2023)
Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella
Flame: Simplifying Topology Extension in Federated Learning. SoCC (2023)
Suyi Li, Wei Wang, Jun Yang, Guangzhen Chen, Daohe Lu
Golgi: Performance-Aware, Resource-Efficient Function Scheduling for Serverless Computing. SoCC (2023)
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. SoCC (2023)
Yihua Cheng, Hui Zhang, Junchen Jiang
Online Profiling and Adaptation of Quality Sensitivity for Internet Video. SoCC (2023)
Fadhil I. Kurnia, Arun Venkataramani
Oblivious Paxos: Privacy-Preserving Consensus Over Secret-Shares. SoCC (2023)
Xiaolong Wu, Dave Jing Tian, Chung Hwan Kim
Building GPU TEEs using CPU Secure Enclaves with GEVisor. SoCC (2023)
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. SoCC (2023)
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. SoCC (2023)
Lokesh N. Jaliminche, Chandranil Nil Chakraborttii, Changho Choi, Heiner Litz
Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling. SoCC (2023)
Jianshu Liu, Shungeng Zhang, Qingyang Wang
μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in Cloud. SoCC (2023)
Frederic Boesel, Livio Schläpfer, Haris Pozidis, Mitch Gusat
Multivariate Anomaly Detection with Domain Clustering. SoCC (2023)
Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali
Is Machine Learning Necessary for Cloud Resource Usage Forecasting? SoCC (2023)
Tom Kuchler, Michael Giardino, Timothy Roscoe, Ana Klimovic
Function as a Function. SoCC (2023)
Junseung You, Kyeongryong Lee, Hyungon Moon, Yeongpil Cho, Yunheung Paek
KVSEV: A Secure In-Memory Key-Value Store with Secure Encrypted Virtualization. SoCC (2023)
Gang Liao, Daniel J. Abadi
FileScale: Fast and Elastic Metadata Management for Distributed File Systems. SoCC (2023)
Ning Li, Hong Jiang, Hao Che, Zhijun Wang, Minh Q. Nguyen, Todd Rosenkrantz
User Disengagement-Oriented Target Enforcement for Multi-Tenant Database Systems. SoCC (2023)
Andreas Haeberlen, Linh Thi Xuan Phan, Morgan McGuire
Metaverse as a Service: Megascale Social 3D on the Cloud. SoCC (2023)
Qingyuan Liu, Dong Du, Yubin Xia, Ping Zhang, Haibo Chen
The Gap Between Serverless Research and Real-world Systems. SoCC (2023)
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. SoCC (2023)
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. SoCC (2023)
Yuanjiang Ni, Pankaj Mehra, Ethan L. Miller, Heiner Litz
TMC: Near-Optimal Resource Allocation for Tiered-Memory Systems. SoCC (2023)
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. SoCC (2023)
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. SoCC (2023)
Zhengyu Lei, Xiao Shi, Cunchi Lv, Xiaobing Yu, Xiaofang Zhao
Chitu: Accelerating Serverless Workflows with Asynchronous State Replication Pipelines. SoCC (2023)
Joel Wolfrath, Abhishek Chandra
Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. SoCC (2023)
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. SoCC (2023)
Tong Xing, Cong Xiong, Chuan Ye, Qi Wei, Javier Picorel, Antonio Barbalace
Maximizing VMs' IO Performance on Overcommitted CPUs with Fairness. SoCC (2023)
Tapan Chugh, Srikanth Kandula, Arvind Krishnamurthy, Ratul Mahajan, Ishai Menache
Anticipatory Resource Allocation for ML Training. SoCC (2023)

2022