default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID10th SoCC 2019: Santa Cruz, CA, USA
- Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, Santa Cruz, CA, USA, November 20-23, 2019. ACM 2019, ISBN 978-1-4503-6973-2
- Tian Zhang, Dong Xie
, Feifei Li, Ryan Stutsman:
Narrowing the Gap Between Serverless and its State with Storage Functions. 1-12 - João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz:
Cirrus: a Serverless Framework for End-to-end ML Workflows. 13-24 - Harshit Daga, Patrick K. Nicholson, Ada Gavrilovska, Diego Lugones:
Cartel: A System for Collaborative Transfer Learning at the Edge. 25-37 - Hyuk-Jin Jeong, Chang Hyun Shin, Kwang Yong Shin, Hyeon-Jae Lee, Soo-Mook Moon:
Seamless Offloading of Web App Computations From Mobile Device to Edge Clouds via HTML5 Web Worker Migration. 38-49 - Jason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song:
BigDL: A Distributed Deep Learning Framework for Big Data. 50-60 - Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. 61-73 - Zachary Zimmerman, Kaveh Kamgar, Nader Shakibay Senobari, Brian Crites, Gareth J. Funning, Philip Brisk, Eamonn J. Keogh:
Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond. 74-86 - Hongzhi Chen, Changji Li, Juncheng Fang, Chenghuan Huang, James Cheng, Jie Zhang, Yifan Hou, Xiao Yan:
Grasper: A High Performance Distributed System for OLAP on Property Graphs. 87-100 - Matei Zaharia:
Lessons from Large-Scale Software as a Service at Databricks. 101 - Fabien Hermenier, Aditya Ramesh, Abhinay Nagpal, Himanshu Shukla, Ramesh Chandra:
Hotspot Mitigations for the Masses. 102-113 - Fan Guo, Yongkun Li, John C. S. Lui, Yinlong Xu:
DCUDA: Dynamic GPU Scheduling with Live Migration Support. 114-125 - Ataollah Fatahi Baarzi, Timothy Zhu, Bhuvan Urgaonkar:
BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud. 126-138 - Huangshi Tian, Yunchuan Zheng, Wei Wang:
Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud. 139-151 - Sonika Jindal, Robert Ricci:
MME-FaaS Cloud-Native Control for Mobile Networks. 152-157 - Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis:
Centralized Core-granular Scheduling for Serverless Functions. 158-164 - Emre Ates, Lily Sturmann, Mert Toslali, Orran Krieger, Richard Megginson, Ayse K. Coskun, Raja R. Sambasivan:
An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications. 165-170 - Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Ravi Netravali:
A System-Wide Debugging Assistant Powered by Natural Language Processing. 171-177 - Sarah Guo:
Startups That Stand Out from the Cloud. 178 - Amrita Mazumdar, Brandon Haynes, Magda Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin:
Perceptual Compression for Video Storage and Processing Systems. 179-192 - Cheng Pan, Yingwei Luo, Xiaolin Wang, Zhenlin Wang:
pRedis: Penalty and Locality Aware Memory Allocation in Redis. 193-205 - Lana Ramjit, Matteo Interlandi, Eugene Wu, Ravi Netravali:
Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks. 206-219 - Fan Ni, Song Jiang:
RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-based Deduplication Systems. 220-232 - Panagiotis Garefalakis, Konstantinos Karanasos, Peter R. Pietzuch:
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications. 233-245 - Zhijun Wang, Huiyang Li, Zhongwei Li, Xiaocui Sun, Jia Rao, Hao Che, Hong Jiang:
Pigeon: an Effective Distributed, Hierarchical Datacenter Job Scheduler. 246-258 - Wei Chen, Aidi Pi, Shaoqi Wang, Xiaobo Zhou:
Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications. 259-271 - Seyyed Ahmad Javadi, Amoghavarsha Suresh, Muhammad Wajahat, Anshul Gandhi:
Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments. 272-285 - Raluca Ada Popa:
Securing Data in Compromised Clouds. 286 - Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Repeatable Oblivious Shuffling of Large Outsourced Data Blocks. 287-298 - Ji-Yong Shin, Jieung Kim, Wolf Honoré, Hernán Vanzetto, Srihari Radhakrishnan, Mahesh Balakrishnan, Zhong Shao:
WormSpace: A Modular Foundation for Simple, Verifiable Distributed Systems. 299-311 - Pedro Henrique B. Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace:
Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering. 312-324 - Fan Guo, Yongkun Li, Min Lv, Yinlong Xu, John C. S. Lui:
HP-Mapper: A High Performance Storage Driver for Docker Containers. 325-336 - Hossein Golestani, Amirhossein Mirhosseini, Thomas F. Wenisch:
Software Data Planes: You Can't Always Spin to Win. 337-350 - Zhenyu Zhou, Theophilus A. Benson:
Composing SDN Controller Enhancements with Mozart. 351-363 - Rui Li, Peizhen Guo, Bo Hu, Wenjun Hu:
Libra and the Art of Task Sizing in Big-Data Analytic Systems. 364-376 - Liangfeng Cheng, Yuchong Hu, Patrick P. C. Lee:
Coupling Decentralized Key-Value Stores with Erasure Coding. 377-389 - Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns:
Agni: An Efficient Dual-access File System over Object Storage. 390-402 - Shuyang Liu, Shucheng Wang, Qiang Cao, Ziyi Lu, Hong Jiang, Jie Yao, Yuanyuan Dong, Puyuan Yang:
Analysis of and Optimization for Write-dominated Hybrid Storage Nodes in Cloud. 403-415 - Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan:
Peregrine: Workload Optimization for Cloud Query Engines. 416-427 - Ravi Netravali, James Mickens:
Reverb: Speculative Debugging for Web Applications. 428-440 - Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos:
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. 441-452 - Bertty Contreras-Rojas, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Saravanan Thirumuruganathan:
TagSniff: Simplified Big Data Debugging for Dataflow Jobs. 453-464 - Jason Teoh, Muhammad Ali Gulzar, Guoqing Harry Xu, Miryung Kim:
PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems. 465-476 - Jeongchul Kim, Kyungyong Lee:
Practical Cloud Workloads for Serverless FaaS. 477 - Jianyong Zhu, Renyu Yang, Chunming Hu, Tianyu Wo, Shiqing Xue, Jin Ouyang, Jie Xu:
Perphon: a ML-based Agent for Workload Co-location via Performance Prediction and Resource Inference. 478 - Yang Liu, Huanle Xu, Wing Cheong Lau:
Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications. 479 - Tuan Tran, Priyanka Mondal, Roy Shadmon, Manthan Mallikarjun, Peter Alvaro, Owen Arden:
Vote Them Out: Detecting and Eliminating Byzantine Peers. 480 - Natasha Mittal, Faisal Nawab:
C-LSM: Cooperative Log Structured Merge Trees. 481 - Abhishek A. Singh, Faisal Nawab:
WedgeDB: Transaction Processing for Edge Databases. 482 - Charles Xu, Dmitry Ilyevskiy:
Isopod: An Expressive DSL for Kubernetes Configuration. 483 - Samaa Gazzaz, Faisal Nawab:
Collaborative Edge-Cloud and Edge-Edge Video Analytics. 484 - Andrea Segalini, Dino Lopez Pacheco, Guillaume Urvoy-Keller, Fabien Hermenier, Quentin Jacquemart:
Hy-FiX: Fast In-place upgrade of KVM hypervisors. 485 - Armin Balalaie, James A. Jones:
Towards a Library for Deterministic Failure Testing of Distributed Systems. 486 - Aman Jain, Ata F. Baarzi, Nader Alfares, George Kesidis, Bhuvan Urgaonkar, Mahmut T. Kandemir:
SpIitServe: Efficiently Splitting Complex Workloads Across FaaS and IaaS. 487 - Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao:
Linear Quadratic Regulator for Resource-Efficient Cloud Services. 488-489 - Hiren Patel, Alekh Jindal, Clemens A. Szyperski:
Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost. 490
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 2024-09-17 00:00 CEST 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:
