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13th SoCC 2022: San Francisco, CA, USA
- Ada Gavrilovska, Deniz Altinbüken, Carsten Binnig:
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, San Francisco, California, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9414-7
Resource management
- Manos Pavlidakis, Stelios Mavridis, Antony Chazapis, Giorgos Vasiliadis
, Angelos Bilas:
Arax: a runtime framework for decoupling applications from heterogeneous accelerators. 1-15 - Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan
DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems. 16-30 - Wenda Tang
Demeter: QoS-aware CPU scheduling to reduce power consumption of multiple black-box workloads. 31-46 - Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica:
ESCHER: expressive scheduling with ephemeral resources. 47-62 - Hafiz Mohsin Bashir, Abdullah Bin Faisal, Fahad R. Dogar:
Network resource management as a database problem. 63-71 - Jungeun Shin, Diana Arroyo, Asser N. Tantawi, Chen Wang
Cloud-native workflow scheduling using a hybrid priority rule and dynamic task parallelism. 72-77 - Huangshi Tian, Suyi Li, Ao Wang, Wei Wang, Tianlong Wu, Haoran Yang:
Owl: performance-aware scheduling for resource-efficient function-as-a-service cloud. 78-93 - Jiuchen Shi, Kaihua Fu, Quan Chen, Changpeng Yang, Pengfei Huang
Characterizing and orchestrating VM reservation in geo-distributed clouds to improve the resource efficiency. 94-109
Cloud infrastructure & hardware
- Alexandra Fedorova, Keith A. Smith, Keith Bostic, Susan J. LoVerso, Michael J. Cahill
Writes hurt: lessons in cache design for optane NVRAM. 110-125 - Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath:
How to fight production incidents?: an empirical study on a large-scale cloud service. 126-141 - Themis Melissaris, Kunal Nabar, Rares Radut, Samir Rehmtulla, Arthur Shi, Samartha Chandrashekar, Ioannis Papapanagiotou:
Elastic cloud services: scaling snowflake's control plane. 142-157 - Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng
GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing. 158-172 - Baolin Li, Tirthak Patel
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. 173-189 - Kamala Ramasubramanian, Eliana Phillips, Peter Alvaro:
Mining microservice design patterns. 190-195 - Jie Zhang, Chen Jin, Yuqi Huang, Li Yi, Yu Ding, Fei Guo:
KOLE: breaking the scalability barrier for managing far edge nodes in cloud. 196-209 - Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang
Workload consolidation in alibaba clusters: the good, the bad, and the ugly. 210-225 - Chenlei Tang, Jiguang Wan, Zhi-hu Tan, Guokuan Li:
Accelerating range queries of primary and secondary indices for key-value separation. 226-239
Serverless
- Kaiyu Hou, Sen Lin, Yan Chen, Vinod Yegneswaran:
QFaaS: accelerating and securing serverless cloud networks with QUIC. 240-256 - Vivek M. Bhasi, Jashwant Raj Gunasekaran, Aakash Sharma, Mahmut Taylan Kandemir, Chita R. Das:
Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms. 257-272 - Christopher Meiklejohn, Lydia Stark, Cesare Celozzi, Matt Ranney, Heather Miller:
Method overloading the circuit. 273-288 - Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis:
Hermod: principled and practical scheduling for serverless functions. 289-305 - Haoran Qiu
SIMPPO: a scalable and incremental online learning framework for serverless resource management. 306-322 - Sashko Ristov, Mika Hautz
SimLess: simulate serverless workflows and their twins and siblings in federated FaaS. 323-339
Machine learning & analytics
- Haodong Wang, Kuntai Du, Junchen Jiang:
Minimizing packet retransmission for real-time video analytics. 340-347 - Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang:
Titan: a scheduler for foundation model fine-tuning workloads. 348-354 - Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu:
The power of prediction: microservice auto scaling via workload learning. 355-369 - Zhifeng Jiang
Pisces: efficient federated learning via guided asynchronous training. 370-385 - Amelie Chi Zhou, Ruibo Qiu, Thomas Lambert, Tristan Allard
PGPregel: an end-to-end system for privacy-preserving graph processing in geo-distributed data centers. 386-402 - Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin:
Accelerating large-scale distributed neural network training with SPMD parallelism. 403-418 - Thomas Davidson, Jonathan Mace:
See it to believe it?: the role of visualisation in systems research. 419-428 - Wuhui Chen, Xiaoyu Qiu, Zicong Hong, Zibin Zheng, Hong-Ning Dai
Proactive look-ahead control of transaction flows for high-throughput payment channel network. 429-444 - Kuo Zhang, Peijian Wang, Ning Gu, Thu D. Nguyen
GreenDRL: managing green datacenters using deep reinforcement learning. 445-460
Virtualization
- Yuewen Wu, Heng Wu, Diaohan Luo, Yuanjia Xu, Yi Hu, Wenbo Zhang, Hua Zhong:
Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approach. 461-476 - Weiwei Jia
Achieving low latency in public edges by hiding workloads mutual interference. 477-492 - Jianfeng Wang, Tamás Lévai, Zhuojin Li, Marcos A. M. Vieira, Ramesh Govindan, Barath Raghavan:
Quadrant: a cloud-deployable NF virtualization platform. 493-509 - Gaulthier Gain, Cyril Soldani, Felipe Huici, Laurent Mathy:
Want more unikernels?: inflate them! 510-525 - Daniel G. Waddington, Moshik Hershcovitch, Swaminathan Sundararaman, Clem Dickey:
A case for using cache line deltas for high frequency VM snapshotting. 526-539 - Syed M. Iqbal, Haley Li, Shane Bergsma, Ivan Beschastnikh, Alan J. Hu:
CoSpot: a cooperative VM allocation framework for increased revenue from spot instances. 540-556
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