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ORCID11th SoCC 2020: Virtual Event, USA
- Rodrigo Fonseca, Christina Delimitrou, Beng Chin Ooi:
SoCC '20: ACM Symposium on Cloud Computing, Virtual Event, USA, October 19-21, 2020. ACM 2020, ISBN 978-1-4503-8137-6
Serverless computing I
- Benjamin Carver
, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng:
Wukong: a scalable and locality-enhanced framework for serverless parallel computing. 1-15 - Shelby Thomas, Lixiang Ao, Geoffrey M. Voelker, George Porter:
Particle: ephemeral endpoints for serverless networking. 16-29 - Tianyi Yu, Qingyuan Liu, Dong Du, Yubin Xia, Binyu Zang, Ziqian Lu, Pingchao Yang, Chenggang Qin, Haibo Chen:
Characterizing serverless platforms with serverlessbench. 30-44 - Vojislav Dukic, Rodrigo Bruno, Ankit Singla, Gustavo Alonso:
Photons: lambdas on a diet. 45-59
Memory management
- Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li:
ByteSeries: an in-memory time series database for large-scale monitoring systems. 60-73 - Giorgos Kappes, Stergios V. Anastasiadis:
A user-level toolkit for storage I/O isolation on multitenant hosts. 74-89 - Yu Sun, Jiaxin Lei, Seunghee Shin, Hui Lu:
Baoverlay: a block-accessible overlay file system for fast and efficient container storage. 90-104 - Anuj Kalia, David G. Andersen, Michael Kaminsky:
Challenges and solutions for fast remote persistent memory access. 105-119 - Chandranil Chakraborttii, Heiner Litz:
Improving the accuracy, adaptability, and interpretability of SSD failure prediction models. 120-133
Power- and cost-efficient clouds
- Kostis Kaffes, Dragos Sbirlea, Yiyan Lin, David Lo, Christos Kozyrakis:
Leveraging application classes to save power in highly-utilized data centers. 134-149 - Esmail Asyabi, Azer Bestavros, Erfan Sharafzadeh, Timothy Zhu:
Peafowl: in-application CPU scheduling to reduce power consumption of in-memory key-value stores. 150-164 - Thomas Kim, Daniel Lin-Kit Wong, Gregory R. Ganger, Michael Kaminsky, David G. Andersen:
High availability in cheap distributed key value storage. 165-178
Load balancing
- Shouqian Shi, Ye Yu, Minghao Xie, Xin Li, Xiaozhou Li, Ying Zhang, Chen Qian:
Concury: a fast and light-weight software cloud load balancer. 179-192 - Marios Kogias, Rishabh Iyer, Edouard Bugnion:
Bypassing the load balancer without regrets. 193-207 - Muhammad Bilal, Marco Canini, Rodrigo Rodrigues:
Finding the right cloud configuration for analytics clusters. 208-222
Decentralized computation
- Peilun Li, Guosai Wang, Xiaoqi Chen, Fan Long, Wei Xu:
Gosig: a scalable and high-performance byzantine consensus for consortium blockchains. 223-237 - Yilin Han, Chenxing Li, Peilun Li, Ming Wu, Dong Zhou, Fan Long:
Shrec: bandwidth-efficient transaction relay in high-throughput blockchain systems. 238-252 - Yotam Harchol, Aisha Mushtaq, Vivian Fang, James Murphy McCauley, Aurojit Panda, Scott Shenker:
Making edge-computing resilient. 253-266 - Catalina Álvarez, Zhenhao He, Gustavo Alonso, Ankit Singla:
Specializing the network for scatter-gather workloads. 267-280
Serverless computing II
- Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman:
Serverless linear algebra. 281-295 - Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee:
SNF: serverless network functions. 296-310 - Ali Tariq, Austin Pahl, Sharat Nimmagadda, Eric Rozner, Siddharth Lanka:
Sequoia: enabling quality-of-service in serverless computing. 311-327 - Wen Zhang, Vivian Fang, Aurojit Panda, Scott Shenker:
Kappa: a programming framework for serverless computing. 328-343
Resiliency, debugging, and trust
- Jingzhu He, Ting Dai, Xiaohui Gu, Guoliang Jin:
HangFix: automatically fixing software hang bugs for production cloud systems. 344-357 - Ting Dai, Alexei A. Karve, Grzegorz Koper, Sai Zeng:
Automatically detecting risky scripts in infrastructure code. 358-371 - Jason Teoh, Muhammad Ali Gulzar, Miryung Kim:
Influence-based provenance for dataflow applications with taint propagation. 372-386 - Bohdan Trach, Rasha Faqeh, Oleksii Oleksenko, Wojciech Ozga, Pramod Bhatotia, Christof Fetzer:
T-Lease: a trusted lease primitive for distributed systems. 387-400
Accelerating machine learning
- Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu:
PaGraph: Scaling GNN training on large graphs via computation-aware caching. 401-415 - Beomyeol Jeon, Linda Cai, Pallavi Srivastava, Jintao Jiang, Xiaolan Ke, Yitao Meng, Cong Xie, Indranil Gupta:
Baechi: fast device placement of machine learning graphs. 416-430 - Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. 431-446 - Raajay Viswanathan, Arjun Balasubramanian, Aditya Akella:
Network-accelerated distributed machine learning for multi-tenant settings. 447-461
Scaling machine learning
- Kyungtae Kim, Chung Hwan Kim, Junghwan John Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, Byoungyoung Lee:
Vessels: efficient and scalable deep learning prediction on trusted processors. 462-476 - Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo, Corey Zumar, Ion Stoica, Joseph Gonzalez, Alexey Tumanov:
InferLine: latency-aware provisioning and scaling for prediction serving pipelines. 477-491 - Aditya Dhakal, Sameer G. Kulkarni, K. K. Ramakrishnan:
GSLICE: controlled spatial sharing of GPUs for a scalable inference platform. 492-506 - Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo:
Elastic parameter server load distribution in deep learning clusters. 507-521
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