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ORCIDAli Anwar 0001
Person information
- affiliation: University of Minnesota-Twin Cities, Minneapolis, MN, USA
- affiliation: IBM Research - Almaden: San Jose, CA, US
Other persons with the same name
- Ali Anwar 0002
![[0000-0002-5523-0634]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5523-0634")
— University of Antwerp, Belgium (and 1 more) - Ali Anwar 0003 — Montgomery Blair High School, Silver Spring, MD, USA
- Ali Anwar 0004 — Wilfrid Laurier University, Lazaridis School of Business and Economics, Canada
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2020 – today
- 2024
[j8]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)- [j7]Nannan Zhao, Muhui Lin, Hadeel Albahar, Arnab K. Paul, Zhijie Huan, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Ali Anwar, Ali Raza Butt:
An End-to-end High-performance Deduplication Scheme for Docker Registries and Docker Container Storage Systems. ACM Trans. Storage 20(3): 18 (2024) - [c47]Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar:
FLOAT: Federated Learning Optimizations with Automated Tuning. EuroSys 2024: 200-218 - [i30]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) - [i29]Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ali Anwar, Muhammad Ali Gulzar:
Privacy-Aware Semantic Cache for Large Language Models. CoRR abs/2403.02694 (2024) - [i28]Enmao Diao, Qi Le, Suya Wu, Xinran Wang, Ali Anwar, Jie Ding, Vahid Tarokh:
ColA: Collaborative Adaptation with Gradient Learning. CoRR abs/2404.13844 (2024) - [i27]Qi Le, Enmao Diao, Xinran Wang, Vahid Tarokh, Jie Ding, Ali Anwar:
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. CoRR abs/2409.04986 (2024) - [i26]Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar:
Personalized Federated Learning Techniques: Empirical Analysis. CoRR abs/2409.06805 (2024) - [i25]Jiaxang Tang, Zeshan Fayyaz, Mohammad A. Salahuddin, Raouf Boutaba, Zhi-Li Zhang, Ali Anwar:
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning. CoRR abs/2409.07631 (2024) - [i24]Connor Howe, Mohsin Aziz, Ali Anwar:
Towards Scalable Quantum Networks. CoRR abs/2409.08416 (2024) - 2023
- [j6]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) - [c46]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 - [c45]Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan:
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid 2023: 311-321 - [c44]Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid 2023: 322-330 - [c43]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDebug: Systematic Debugging for Federated Learning Applications. ICSE 2023: 512-523 - [c42]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDefender: Backdoor Attack Defense in Federated Learning. SE4SafeML@SIGSOFT FSE 2023: 6-9 - [c41]Alex Merenstein, Vasily Tarasov, Ali Anwar, Scott Guthridge, Erez Zadok:
F3: Serving Files Efficiently in Serverless Computing. SYSTOR 2023: 8-21 - [e2]Ali Anwar, Ningfang Mi, Vasily Tarasov, Yiying Zhang:
Proceedings of the 15th ACM/USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage 2023, Boston, MA, USA, 9 July 2023. ACM 2023 [contents] - [i23]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDebug: Systematic Debugging for Federated Learning Applications. CoRR abs/2301.03553 (2023) - [i22]Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Raza Butt, Ali Anwar:
PI-FL: Personalized and Incentivized Federated Learning. CoRR abs/2304.07514 (2023) - [i21]Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar:
A Framework for Incentivized Collaborative Learning. CoRR abs/2305.17052 (2023) - [i20]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDefender: Backdoor Attack Defense in Federated Learning. CoRR abs/2307.08672 (2023) - [i19]Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning. CoRR abs/2312.13632 (2023) - 2022
- [c40]Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt:
TIFF: Tokenized Incentive for Federated Learning. CLOUD 2022: 407-416 - [c39]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig:
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CLOUD 2022: 417-426 - [c38]Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding:
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. IEEECONF 2022: 1157-1163 - [c37]Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt:
Heterogeneity-Aware Adaptive Federated Learning Scheduling. IEEE Big Data 2022: 911-920 - [c36]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC 2022: 36:1-36:14 - [p6]Syed Zawad, Feng Yan, Ali Anwar:
Introduction to Federated Learning Systems. Federated Learning 2022: 195-212 - [p5]Syed Zawad, Feng Yan, Ali Anwar:
Local Training and Scalability of Federated Learning Systems. Federated Learning 2022: 213-233 - [p4]Syed Zawad, Feng Yan, Ali Anwar:
Straggler Management. Federated Learning 2022: 235-258 - [p3]Syed Zawad, Feng Yan, Ali Anwar:
Systems Bias in Federated Learning. Federated Learning 2022: 259-278 - [p2]Yi Zhou, Nathalie Baracaldo, Ali Anwar, Kamala Varma:
Dealing with Byzantine Threats to Neural Networks. Federated Learning 2022: 391-414 - [p1]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Annie Abay, Ali Anwar:
Privacy-Preserving Vertical Federated Learning. Federated Learning 2022: 417-438 - [e1]Ali Anwar, Dimitris Skourtis, Sudarsun Kannan, Xiaosong Ma:
HotStorage '22: 14th ACM Workshop on Hot Topics in Storage and File Systems, Virtual Event, June 27 - 28, 2022. ACM 2022, ISBN 978-1-4503-9399-7 [contents] - [i18]Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger:
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. CoRR abs/2202.12443 (2022) - [i17]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) - [i16]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig:
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. CoRR abs/2207.07779 (2022) - [i15]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) - [i14]Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding:
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. CoRR abs/2212.08779 (2022) - 2021
- [j5]Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Arnab Kumar Paul, Keren Chen, Ali Raza Butt:
Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems. IEEE Trans. Parallel Distributed Syst. 32(4): 918-930 (2021) - [c35]Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar:
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CLOUD 2021: 272-277 - [c34]Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI 2021: 10807-10814 - [c33]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig:
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. AISec@CCS 2021: 181-192 - [c32]Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri:
Accountable Federated Machine Learning in Government: Engineering and Management Insights. ePart 2021: 125-138 - [c31]Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Julie Lee, Lukas Rupprecht, Dimitris Skourtis, Yang Yang, Erez Zadok:
CNSBench: A Cloud Native Storage Benchmark. FAST 2021: 263-276 - [c30]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 - [i13]Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR abs/2102.00655 (2021) - [i12]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig:
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. CoRR abs/2103.03918 (2021) - [i11]Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari:
Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR abs/2106.06921 (2021) - [i10]Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar:
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. CoRR abs/2107.12490 (2021) - [i9]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR abs/2111.14345 (2021) - 2020
- [j4]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) - [c29]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 - [c28]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 - [c27]Pranav Bhandari, Avani Wildani, Dimitris Skourtis, Vasily Tarasov, Deepavali Bhagwat, Lukas Rupprecht, Ali Anwar:
Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management? HotStorage 2020 - [c26]Alex Merenstein, Vasily Tarasov, Ali Anwar, Deepavali Bhagwat, Lukas Rupprecht, Dimitris Skourtis, Erez Zadok:
The Case for Benchmarking Control Operations in Cloud Native Storage. HotStorage 2020 - [c25]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 - [c24]Nannan Zhao, Hadeel Albahar, Subil Abraham, Keren Chen, Vasily Tarasov, Dimitrios Skourtis, Lukas Rupprecht, Ali Anwar, Ali Raza Butt:
DupHunter: Flexible High-Performance Deduplication for Docker Registries. USENIX ATC 2020: 769-783 - [i8]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) - [i7]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) - [i6]Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay:
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR abs/2007.10987 (2020) - [i5]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
- 2019
- [j3]Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou:
A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract). Inform. Spektrum 42(5): 356-357 (2019) - [j2]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) - [j1]Ali Anwar, Lukas Rupprecht, Dimitris Skourtis, Vasily Tarasov:
Challenges in Storing Docker Images. login Usenix Mag. 44(3) (2019) - [c23]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 - [c22]Nannan Zhao, Vasily Tarasov, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit Warke, Mohamed Mohamed, Ali Raza Butt:
Slimmer: Weight Loss Secrets for Docker Registries. CLOUD 2019: 517-519 - [c21]Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou:
A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS 2019: 1-11 - [c20]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig:
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. AISec@CCS 2019: 13-23 - [c19]Nannan Zhao, Vasily Tarasov, Hadeel Albahar, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Amit S. Warke, Mohamed Mohamed, Ali Raza Butt:
Large-Scale Analysis of the Docker Hub Dataset. CLUSTER 2019: 1-10 - [c18]Tim D'Hondt, Anna Wilbik, Paul Grefen, Heiko Ludwig, Nathalie Baracaldo, Ali Anwar:
Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios. IOT 2019: 19:1-19:8 - [c17]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 - [i4]Toyotaro Suzumura, Yi Zhou, Nathalie Barcardo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran:
Towards Federated Graph Learning for Collaborative Financial Crimes Detection. CoRR abs/1909.12946 (2019) - [i3]Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig:
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. CoRR abs/1912.05897 (2019) - 2018
- [c16]Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. APSys 2018: 12:1-12:3 - [c15]Yue Cheng, Ali Anwar, Xuejing Duan:
Analyzing Alibaba's Co-located Datacenter Workloads. IEEE BigData 2018: 292-297 - [c14]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 - [c13]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 - [c12]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 - [i2]Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. CoRR abs/1808.02919 (2018) - [i1]Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang:
A Hybrid Approach to Privacy-Preserving Federated Learning. CoRR abs/1812.03224 (2018) - 2016
- [c11]Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt:
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. HotStorage 2016 - [c10]Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt:
MOS: Workload-aware Elasticity for Cloud Object Stores. HPDC 2016: 177-188 - [c9]Ali Anwar, Yue Cheng, Ali Raza Butt:
Towards Managing Variability in the Cloud. IPDPS Workshops 2016: 1081-1084 - 2015
- [c8]Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O. Schulz, Alla Segal, Ali Raza Butt:
Cost-Aware Cloud Metering with Scalable Service Management Infrastructure. CLOUD 2015: 285-292 - [c7]Ali Anwar, Anca Sailer, Andrzej Kochut, Ali Raza Butt:
Anatomy of Cloud Monitoring and Metering: A case study and open problems. APSys 2015: 6:1-6:7 - [c6]Ali Anwar, Anca Sailer, Andrzej Kochut, Charles O. Schulz, Alla Segal, Ali Raza Butt:
Scalable Metering for an Affordable IT Cloud Service Management. IC2E 2015: 207-212 - [c5]Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt:
Taming the cloud object storage with MOS. PDSW@SC 2015: 7-12 - [c4]Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan:
AnalyzeThis: an analysis workflow-aware storage system. SC 2015: 20:1-20:12 - 2014
- [c3]Krish K. R., Ali Anwar, Ali Raza Butt:
hatS: A Heterogeneity-Aware Tiered Storage for Hadoop. CCGRID 2014: 502-511 - [c2]Ali Anwar, Krish K. R., Ali Raza Butt:
On the use of microservers in supporting hadoop applications. CLUSTER 2014: 66-74 - [c1]Krish K. R., Ali Anwar, Ali Raza Butt:
[phi]Sched: A Heterogeneity-Aware Hadoop Workflow Scheduler. MASCOTS 2014: 255-264
Coauthor Index
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