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Yue Cheng 0001

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affiliation: University of Virginia, Charlottesville, VA, USA
affiliation: George Mason University, Fairfax, VA, USA
affiliation (PhD 2017): Virginia Tech, Blacksburg, VA, USA

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2020 – today

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2024
[j8]
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Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen:
A Closer Look into IPFS: Accessibility, Content, and Performance. Proc. ACM Meas. Anal. Comput. Syst. 8(2): 20:1-20:31 (2024)
[j7]
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Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng:
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. Proc. VLDB Endow. 17(8): 2036-2049 (2024)
[j6]
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Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4491-4501 (2024)
[c35]
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  - conf/cloud/KhanP0JB24
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Redwan Ibne Seraj Khan, Arnab K. Paul, Yue Cheng, Xun Steve Jian, Ali Reza Butt:
FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling. SoCC 2024: 52-68
[c34]
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  - conf/sigmetrics/ShiC00C24
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Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen:
A Closer Look into IPFS: Accessibility, Content, and Performance. SIGMETRICS/Performance (Abstracts) 2024: 77-78
[c33]
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Yuqi Fu, Ruizhe Shi, Haoliang Wang, Songqing Chen, Yue Cheng:
ALPS: An Adaptive Learning, Priority OS Scheduler for Serverless Functions. USENIX ATC 2024: 19-36
[i20]
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  - journals/corr/abs-2401-00625
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Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao:
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR abs/2401.00625 (2024)
[i19]
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  - journals/corr/abs-2402-13429
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Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng:
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. CoRR abs/2402.13429 (2024)
[i18]
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  - journals/corr/abs-2403-12433
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Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng:
Algorithmic Complexity Attacks on Dynamic Learned Indexes. CoRR abs/2403.12433 (2024)
2023
[j5]
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  - journals/pvldb/ZhangWMCNARTSYC23
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Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng:
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16(7): 1629-1642 (2023)
[j4]
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Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng:
Algorithmic Complexity Attacks on Dynamic Learned Indexes. Proc. VLDB Endow. 17(4): 780-793 (2023)
[c32]
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  - conf/asplos/CarverHZZ023
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Benjamin Carver, Runzhou Han, Jingyuan Zhang, Mai Zheng, Yue Cheng:
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. ASPLOS (4) 2023: 394-411
[c31]
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Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar:
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. IEEE Big Data 2023: 690-699
[c30]
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Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, Yuqi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt:
SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training. FAST 2023: 135-152
[i17]
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  - journals/corr/abs-2306-11877
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Benjamin Carver, Runzhou Han, Jingyaun Zhang, Mai Zheng, Yue Cheng:
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. CoRR abs/2306.11877 (2023)
[i16]
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  - journals/corr/abs-2308-13466
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Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao:
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. CoRR abs/2308.13466 (2023)
2022
[c29]
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  - conf/sc/FuLWCC22
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Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen:
SFS: Smart OS Scheduling for Serverless Functions. SC 2022: 42:1-42:16
[c28]
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  - conf/ws-drbsd/SuDGCC22
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Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello:
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC 2022: 44-53
[i15]
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  - journals/corr/abs-2204-07767
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Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt:
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. CoRR abs/2204.07767 (2022)
[i14]
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  - journals/corr/abs-2206-00057
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Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng:
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. CoRR abs/2206.00057 (2022)
[i13]
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  - journals/corr/abs-2209-01496
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Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
Sion: Elastic Serverless Cloud Storage. CoRR abs/2209.01496 (2022)
[i12]
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  - journals/corr/abs-2209-01709
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Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen:
SFS: Smart OS Scheduling for Serverless Functions. CoRR abs/2209.01709 (2022)
2021
[c27]
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  - conf/bigdataconf/ChenCCR21
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Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. IEEE BigData 2021: 4822-4831
[c26]
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  - conf/cloud/LiuW0XCC21
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Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen:
Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds. SoCC 2021: 243-257
[c25]
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  - conf/sc/ChaiC00CR21
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Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala:
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC 2021: 60
[c24]
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  - conf/usenix/WangCTWYLDC21
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Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng:
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. USENIX ATC 2021: 443-457
[i11]
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  - journals/corr/abs-2105-09837
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Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework. CoRR abs/2105.09837 (2021)
[i10]
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  - journals/corr/abs-2105-11229
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Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng:
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. CoRR abs/2105.11229 (2021)
[i9]
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  - journals/corr/abs-2109-00151
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Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. CoRR abs/2109.00151 (2021)
[i8]
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  - journals/corr/abs-2112-09335
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Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao:
Community-based Layerwise Distributed Training of Graph Convolutional Networks. CoRR abs/2112.09335 (2021)
2020
[j3]
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  - journals/tpds/AnwarCHHSLDB20
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Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt:
Customizable Scale-Out Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 31(9): 2081-2096 (2020)
[c23]
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  - conf/cloud/CarverZWAWC20
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Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng:
Wukong: a scalable and locality-enhanced framework for serverless parallel computing. SoCC 2020: 1-15
[c22]
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  - conf/fast/WangZMARST0C20
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Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST 2020: 267-281
[c21]
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  - conf/hpdc/ChaiAZTABZL0C20
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Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng:
TiFL: A Tier-based Federated Learning System. HPDC 2020: 125-136
[c20]
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  - conf/icdm/WangCC020
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Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao:
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. ICDM 2020: 591-600
[i7]
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  - journals/corr/abs-2001-09249
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Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng:
TiFL: A Tier-based Federated Learning System. CoRR abs/2001.09249 (2020)
[i6]
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  - journals/corr/abs-2001-10483
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Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR abs/2001.10483 (2020)
[i5]
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  - journals/corr/abs-2009-04053
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Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao:
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training. CoRR abs/2009.04053 (2020)
[i4]
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  - journals/corr/abs-2010-05958
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Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala:
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data. CoRR abs/2010.05958 (2020)
[i3]
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  - journals/corr/abs-2010-07268
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Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng:
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing. CoRR abs/2010.07268 (2020)

2010 – 2019

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2019
[j2]
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  - journals/tpds/CameronACXLABJL19
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Kirk W. Cameron, Ali Anwar, Yue Cheng, Li Xu, Bo Li, Uday Ananth, Jon Bernard, Chandler Jearls, Thomas Lux, Yili Hong, Layne T. Watson, Ali Raza Butt:
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design. IEEE Trans. Parallel Distributed Syst. 30(8): 1843-1856 (2019)
[c19]
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  - conf/IEEEcloud/LittleyAFFTRS0L19
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Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali Raza Butt:
Bolt: Towards a Scalable Docker Registry via Hyperconvergence. CLOUD 2019: 358-366
[c18]
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Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng:
Towards Taming the Resource and Data Heterogeneity in Federated Learning. OpML 2019: 19-21
[c17]
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  - conf/sc/CarverZWC19
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Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng:
In Search of a Fast and Efficient Serverless DAG Engine. PDSW@SC 2019: 1-10
[c16]
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  - conf/vee/LiuWWXCC19
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Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen:
vCPU as a container: towards accurate CPU allocation for VMs. VEE 2019: 193-206
[i2]
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  - journals/corr/abs-1910-05896
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Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng:
In Search of a Fast and Efficient Serverless DAG Engine. CoRR abs/1910.05896 (2019)
2018
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  - conf/apsys/ChengCA18
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Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. APSys 2018: 12:1-12:3
[c14]
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  - conf/bigdataconf/ChengAD18
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Yue Cheng, Ali Anwar, Xuejing Duan:
Analyzing Alibaba's Co-located Datacenter Workloads. IEEE BigData 2018: 292-297
[c13]
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Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitris Skourtis, Amit Warke, Heiko Ludwig, Dean Hildebrand, Ali Raza Butt:
Improving Docker Registry Design Based on Production Workload Analysis. FAST 2018: 265-278
[c12]
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  - conf/ipps/ZhaoACSLWXHWB18
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Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt:
Chameleon: An Adaptive Wear Balancer for Flash Clusters. IPDPS 2018: 1163-1172
[c11]
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Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt:
bespoKV: application tailored scale-out key-value stores. SC 2018: 2:1-2:16
[i1]
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Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. CoRR abs/1808.02919 (2018)
2017
[b1]
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Yue Cheng:
Workload-aware Efficient Storage Systems. Virginia Tech, Blacksburg, VA, USA, 2017
2016
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Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
Provider versus Tenant Pricing Games for Hybrid Object Stores in the Cloud. IEEE Internet Comput. 20(3): 28-35 (2016)
[c10]
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Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt:
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. HotStorage 2016
[c9]
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Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt:
MOS: Workload-aware Elasticity for Cloud Object Stores. HPDC 2016: 177-188
[c8]
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Ali Anwar, Yue Cheng, Ali Raza Butt:
Towards Managing Variability in the Cloud. IPDPS Workshops 2016: 1081-1084
[c7]
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Yue Cheng, Fred Douglis, Philip Shilane, Grant Wallace, Peter Desnoyers, Kai Li:
Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality. USENIX ATC 2016: 379-392
2015
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  - conf/eurosys/ChengGB15
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Yue Cheng, Aayush Gupta, Ali Raza Butt:
An in-memory object caching framework with adaptive load balancing. EuroSys 2015: 4:1-4:16
[c5]
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Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant. HotCloud 2015
[c4]
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Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant. HotStorage 2015
[c3]
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Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
CAST: Tiering Storage for Data Analytics in the Cloud. HPDC 2015: 45-56
[c2]
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Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt:
Taming the cloud object storage with MOS. PDSW@SC 2015: 7-12
2013
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Yue Cheng, Aayush Gupta, Anna Povzner, Ali Raza Butt:
High performance in-memory caching through flexible fine-grained services. SoCC 2013: 56:1-56:2

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