Ming Zhao

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 34

Top Topics

Resource Management

Cloud Computing

Model Predictive Control

Top Venues

HPDC (Posters/Doctoral Consortium)

Publications

Kaiqi Zhao, Ming Zhao
Self-Supervised Quantization-Aware Knowledge Distillation. CoRR (2024)
Ankur Chowdhary, Kritshekhar Jha, Ming Zhao
Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications. Sensors 23 (18) (2023)
Runyu Jin, Qirui Yang, Ming Zhao
When Edge Meets FaaS: Opportunities and Challenges. CoRR (2023)
Qirui Yang, Runyu Jin, Ni Fan, Devasena Inupakutika, Bridget Davis, Ming Zhao
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage. CoRR (2023)
Qirui Yang, Runyu Jin, Ni Fan, Devasena Inupakutika, Bridget Davis, Ming Zhao
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage. CLOUD (2023)
Ming Zhao, Kritshekhar Jha, Sungho Hong
GPU-enabled Function-as-a-Service for Machine Learning Inference. IPDPS (2023)
Runyu Jin, Qirui Yang, Ming Zhao
When Edge Meets FaaS: Opportunities and Challenges. EDGE (2023)
Kaiqi Zhao, Yitao Chen, Ming Zhao
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer. CoRR (2022)
Saman Biookaghazadeh, Pravin Kumar Ravi, Ming Zhao
Toward Multi-FPGA Acceleration of the Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Liana V. Rodriguez, Farzana Beente Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, Jason Liu, Ming Zhao, Giri Narasimhan
Learning Cache Replacement with CACHEUS. FAST (2021)
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
Characterizing Loop Acceleration in Heterogeneous Computing. CLOUD (2021)
Jianyu Fu, Youyou Lu, Jiwu Shu, Guangming Liu, Ming Zhao
COWCache: effective flash caching for Copy-on-Write virtual disks. Clust. Comput. 23 (2) (2020)
Vasily Tarasov, Lukas Rupprecht, Dimitris Skourtis, Wenji Li, Raju Rangaswami, Ming Zhao
Evaluating Docker storage performance: from workloads to graph drivers. Clust. Comput. 22 (4) (2019)
Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. OpML (2019)
Ming Zhao, Yiqi Xu
vPFS+: Managing I/O Performance for Diverse HPC Applications. MSST (2019)
George Amvrosiadis, Ali Raza Butt, Vasily Tarasov, Erez Zadok, Ming Zhao
Selected Results of the Workshop on Data Storage Research 2025. login Usenix Mag. 44 (4) (2019)
Yitao Chen, Saman Biookaghazadeh, Ming Zhao
Exploring the capabilities of mobile devices in supporting deep learning. SEC (2019)
Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. HotEdge (2019)
Saman Biookaghazadeh, Ming Zhao, Fengbo Ren
Are FPGAs Suitable for Edge Computing? HotEdge (2018)
Ragini Sharma, Saman Biookaghazadeh, Ming Zhao
Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? HPDC (Posters/Doctoral Consortium) (2018)
Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? EDGE (2018)
Ming Zhao, Jorge Cabrera
RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling. EuroSys (2018)
Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Ming Zhao, Giri Narasimhan
Driving Cache Replacement with ML-based LeCaR. HotStorage (2018)
Yitao Chen, Saman Biookaghazadeh, Ming Zhao
Exploring the Capabilities of Mobile Devices Supporting Deep Learning. HPDC (Posters/Doctoral Consortium) (2018)
Jianyu Fu, Dulcardo Arteaga, Ming Zhao
Locality-driven MRC Construction and Cache Allocation. HPDC (Posters/Doctoral Consortium) (2018)
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
Are FPGAs Suitable for Edge Computing? CoRR (2018)
Ming Zhao, Lixi Wang, Yun Lv, Jing Xu
Cross-Layer Optimization for Virtual Machine Resource Management. IC2E (2018)
Pengfei Zuo, Yu Hua, Ming Zhao, Wen Zhou, Yuncheng Guo
Improving the Performance and Endurance of Encrypted Non-Volatile Main Memory through Deduplicating Writes. MICRO (2018)
Saman Biookaghazadeh, Shujia Zhou, Ming Zhao
Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems. NAS (2017)
Vasily Tarasov, Lukas Rupprecht, Dimitris Skourtis, Amit Warke, Dean Hildebrand, Mohamed Mohamed, NagaPramod Mandagere, Wenji Li, Raju Rangaswami, Ming Zhao
In Search of the Ideal Storage Configuration for Docker Containers. FAS*W@SASO/ICCAC (2017)
Wenji Li, Gregory Jean-Baptise, Juan Riveros, Giri Narasimhan, Tony Zhang, Ming Zhao
CacheDedup: In-line Deduplication for Flash Caching. FAST (2016)
Dulcardo Arteaga, Jorge Cabrera, Jing Xu, Swaminathan Sundararaman, Ming Zhao
CloudCache: On-demand Flash Cache Management for Cloud Computing. FAST (2016)
Hector A. Duran-Limon, Jesus Flores-Contreras, Nikos Parlavantzas, Ming Zhao, Angel Meulenert-Peña
Efficient execution of the WRF model and other HPC applications in the cloud. Earth Sci. Informatics 9 (3) (2016)
Yiqi Xu, Ming Zhao
IBIS: Interposed Big-data I/O Scheduler. HPDC (2016)
Saman Biookaghazadeh, Yiqi Xu, Shujia Zhou, Ming Zhao
Enabling scientific data storage and processing on big-data systems. IEEE BigData (2015)
Sajib Kundu, Raju Rangaswami, Ming Zhao, Ajay Gulati, Kaushik Dutta
Revenue Driven Resource Allocation for Virtualized Data Centers. ICAC (2015)
Lixi Wang, Jing Xu, Hector A. Duran-Limon, Ming Zhao
QoS-Driven Cloud Resource Management through Fuzzy Model Predictive Control. ICAC (2015)
Dulcardo Arteaga, Ming Zhao
Client-side Flash Caching for Cloud Systems. SYSTOR (2014)
Yun Lu, Ming Zhao, Lixi Wang, Naphtali Rishe
v-TerraFly: large scale distributed spatial data visualization with autonomic resource management. J. Big Data 1 (2014)
Michel Angelo Roger, Yiqi Xu, Ming Zhao
BigCache for big-data systems. IEEE BigData (2014)
Yiqi Xu, Adrian Suarez, Ming Zhao
IBIS: interposed big-data I/O scheduler. HPDC (2013)
Yonggang Liu, Renato J. O. Figueiredo, Yiqi Xu, Ming Zhao
On the design and implementation of a simulator for parallel file system research. MSST (2013)
Ricardo Koller, Leonardo Mármol, Raju Rangaswami, Swaminathan Sundararaman, Nisha Talagala, Ming Zhao
Write policies for host-side flash caches. FAST (2013)
Yiqi Xu, Ming Zhao
Two-level Throughput and Latency IO Control for Parallel File Systems. Feedback Computing (2013)
Yun Lu, Ming Zhao, Guangqiang Zhao, Lixi Wang, Naphtali Rishe
Massive GIS Database System with Autonomic Resource Management. ICMLA (2) (2013)
Lixi Wang, Jing Xu, Ming Zhao
Application-aware cross-layer virtual machine resource management. ICAC (2012)
Yiqi Xu, Dulcardo Arteaga, Ming Zhao, Yonggang Liu, Renato J. O. Figueiredo, Seetharami Seelam
vPFS: Bandwidth virtualization of parallel storage systems. MSST (2012)
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zhao, Kaushik Dutta
Modeling virtualized applications using machine learning techniques. VEE (2012)
Hector A. Duran-Limon, Luis A. Silva-Banuelos, Victor H. Tellez-Valdez, Nikos Parlavantzas, Ming Zhao
Using Lightweight Virtual Machines to Run High Performance Computing Applications: The Case of the Weather Research and Forecasting Model. UCC (2011)
Lixi Wang, Jing Xu, Ming Zhao, José A. B. Fortes
Adaptive virtual resource management with fuzzy model predictive control. ICAC (2011)
Lixi Wang, Jing Xu, Ming Zhao, Yicheng Tu, José A. B. Fortes
Fuzzy Modeling Based Resource Management for Virtualized Database Systems. MASCOTS (2011)
Dulcardo Arteaga, Ming Zhao
Towards Scalable Application Checkpointing with Parallel File System Delegation. NAS (2011)
Jason Liu, Raju Rangaswami, Ming Zhao
Model-driven network emulation with virtual time machine. WSC (2010)
Sajib Kundu, Raju Rangaswami, Kaushik Dutta, Ming Zhao
Application performance modeling in a virtualized environment. HPCA (2010)
Jing Xu, Ming Zhao, José A. B. Fortes
Cooperative Autonomic Management in Dynamic Distributed Systems. SSS (2009)
Juan C. Martinez, Lixi Wang, Ming Zhao, S. Masoud Sadjadi
Experimental study of large-scale computing on virtualized resources. VTDC@ICAC (2009)
Jing Xu, Ming Zhao, José A. B. Fortes, Robert Carpenter, Mazin S. Yousif
Autonomic resource management in virtualized data centers using fuzzy logic-based approaches. Clust. Comput. 11 (3) (2008)
Jing Xu, Ming Zhao, José A. B. Fortes, Robert Carpenter, Mazin S. Yousif
On the Use of Fuzzy Modeling in Virtualized Data Center Management. ICAC (2007)
Ming Zhao, Renato J. O. Figueiredo
Experimental study of virtual machine migration in support of reservation of cluster resources. VTDC@SC (2007)
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato J. O. Figueiredo, José A. B. Fortes
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces. International Conference on Computational Science (1) (2007)
Ming Zhao, Renato J. O. Figueiredo
A user-level secure grid file system. SC (2007)
Ming Zhao, Jing Xu, Renato J. O. Figueiredo
Towards Autonomic Grid Data Management with Virtualized Distributed File Systems. ICAC (2006)
Ming Zhao, Jian Zhang, Renato J. O. Figueiredo
Distributed File System Virtualization Techniques Supporting On-Demand Virtual Machine Environments for Grid Computing. Clust. Comput. 9 (1) (2006)
Ming Zhao, Renato J. O. Figueiredo
Application-Tailored Cache Consistency for Wide-Area File Systems. ICDCS (2006)
Andréa M. Matsunaga, Maurício O. Tsugawa, Ming Zhao, Liping Zhu, Vivekananthan Sanjeepan, Sumalatha Adabala, Renato J. O. Figueiredo, Herman Lam, José A. B. Fortes
On the Use of Virtualization and Service Technologies to Enable Grid-Computing. Euro-Par (2005)
Ming Zhao, Vineet Chadha, Renato J. O. Figueiredo
Supporting application-tailored grid file system sessions with WSRF-based services. HPDC (2005)
Sumalatha Adabala, Vineet Chadha, Puneet Chawla, Renato J. O. Figueiredo, José A. B. Fortes, Ivan Krsul, Andréa M. Matsunaga, Maurício O. Tsugawa, Jian Zhang, Ming Zhao, Liping Zhu, Xiaomin Zhu
From virtualized resources to virtual computing grids: the In-VIGO system. Future Gener. Comput. Syst. 21 (6) (2005)
Jithendar Paladugula, Ming Zhao, Renato J. O. Figueiredo
Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of Light Scattering Spectroscopy. CLADE (2004)
Ming Zhao, Jian Zhang, Renato J. O. Figueiredo
Distributed File System Support for Virtual Machines in Grid Computing. HPDC (2004)