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ORCIDMosharaf Chowdhury
N. M. Mosharaf Kabir Chowdhury
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- affiliation: University of Michigan, USA
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2020 – today
- 2024
[j17]Naichen Shi, Fan Lai, Raed Al Kontar
, Mosharaf Chowdhury:
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. 21(3): 2792-2803 (2024)- [j16]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - [j15]Sheng Qi, Chao Jin, Mosharaf Chowdhury, Zhenming Liu, Xuanzhe Liu, Xin Jin:
Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. IEEE Trans. Parallel Distributed Syst. 35(9): 1536-1550 (2024) - [c62]Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai:
FedTrans: Efficient Federated Learning via Multi-Model Transformation. MLSys 2024 - [c61]Yiwen Zhang, Xumiao Zhang, Ganesh Ananthanarayanan, Anand P. Iyer, Yuanchao Shu, Victor Bahl, Z. Morley Mao, Mosharaf Chowdhury:
Vulcan: Automatic Query Planning for Live ML Analytics. NSDI 2024 - [c60]Yuhong Zhong, Daniel S. Berger, Carl A. Waldspurger, Ryan Wee, Ishwar Agarwal, Rajat Agarwal, Frank Hady, Karthik Kumar, Mark D. Hill, Mosharaf Chowdhury, Asaf Cidon:
Managing Memory Tiers with CXL in Virtualized Environments. OSDI 2024: 37-56 - [c59]Jae-Won Chung, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, Mosharaf Chowdhury:
Reducing Energy Bloat in Large Model Training. SOSP 2024: 144-159 - [i32]Jae-Won Chung, Mosharaf Chowdhury:
Toward Cross-Layer Energy Optimizations in Machine Learning Systems. CoRR abs/2404.06675 (2024) - [i31]Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury, Fan Lai:
FedTrans: Efficient Federated Learning via Multi-Model Transformation. CoRR abs/2404.13515 (2024) - [i30]Jiachen Liu, Zhiyu Wu, Jae-Won Chung, Fan Lai, Myungjin Lee, Mosharaf Chowdhury:
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. CoRR abs/2404.16283 (2024) - 2023
- [j14]Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger:
Memtrade: Marketplace for Disaggregated Memory Clouds. Proc. ACM Meas. Anal. Comput. Syst. 7(2): 41:1-41:27 (2023) - [j13]Hasan Al Maruf, Mosharaf Chowdhury:
Memory Disaggregation: Advances and Open Challenges. ACM SIGOPS Oper. Syst. Rev. 57(1): 29-37 (2023) - [c58]Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan:
TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory. ASPLOS (3) 2023: 742-755 - [c57]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC 2023: 125-141 - [c56]Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury:
Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. DistributedML@CoNEXT 2023: 1-10 - [c55]Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury:
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. EuroSys 2023: 851-866 - [c54]Yiming Qiu, Patrick Tser Jern Kon, Jiarong Xing, Yibo Huang, Hongyi Liu, Xinyu Wang, Peng Huang, Mosharaf Chowdhury, Ang Chen:
Simplifying Cloud Management with Cloudless Computing. HotNets 2023: 95-101 - [c53]Ewen Wang, Boyi Chen, Mosharaf Chowdhury, Ajay Kannan, Franco Liang:
FLINT: A Platform for Federated Learning Integration. MLSys 2023 - [c52]Jie You, Jae-Won Chung, Mosharaf Chowdhury:
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. NSDI 2023: 119-139 - [c51]Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury:
ModelKeeper: Accelerating DNN Training via Automated Training Warmup. NSDI 2023: 769-785 - [c50]Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, Zeliang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury:
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models. OSDI 2023: 817-831 - [c49]Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger:
Memtrade: Marketplace for Disaggregated Memory Clouds. SIGMETRICS (Abstracts) 2023: 1-2 - [c48]Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury:
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. SOSP 2023: 382-395 - [i29]Ewen Wang, Ajay Kannan, Yuefeng Liang, Boyi Chen, Mosharaf Chowdhury:
FLINT: A Platform for Federated Learning Integration. CoRR abs/2302.12862 (2023) - [i28]Zhenning Yang, Luoxi Meng, Jae-Won Chung, Mosharaf Chowdhury:
Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training. CoRR abs/2303.02508 (2023) - [i27]Hasan Al Maruf, Mosharaf Chowdhury:
Memory Disaggregation: Advances and Open Challenges. CoRR abs/2305.03943 (2023) - [i26]Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury:
Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates. CoRR abs/2309.08125 (2023) - [i25]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. CoRR abs/2312.03863 (2023) - [i24]Jae-Won Chung, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, Mosharaf Chowdhury:
Perseus: Removing Energy Bloat from Large Model Training. CoRR abs/2312.06902 (2023) - [i23]Jiachen Liu, Fan Lai, Ding Ding, Yiwen Zhang, Mosharaf Chowdhury:
Venn: Resource Management Across Federated Learning Jobs. CoRR abs/2312.08298 (2023) - 2022
- [j12]Prakash C. Das, Shivangi Srivastava, Valentin Moskovich, Anmol Chaturvedi, Anant Mittal, Yongqin Xiao, Mosharaf Chowdhury:
CDI-E: An Elastic Cloud Service for Data Engineering. Proc. VLDB Endow. 15(12): 3319-3331 (2022) - [c47]Youngmoon Lee, Hasan Al Maruf, Mosharaf Chowdhury, Asaf Cidon, Kang G. Shin:
Hydra : Resilient and Highly Available Remote Memory. FAST 2022: 181-198 - [c46]Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML 2022: 11814-11827 - [c45]Yiwen Zhang, Yue Tan, Brent E. Stephens, Mosharaf Chowdhury:
Justitia: Software Multi-Tenancy in Hardware Kernel-Bypass Networks. NSDI 2022: 1307-1326 - [c44]Yiwen Zhang, Gautam Kumar, Nandita Dukkipati, Xian Wu, Priyaranjan Jha, Mosharaf Chowdhury, Amin Vahdat:
Aequitas: admission control for performance-critical RPCs in datacenters. SIGCOMM 2022: 1-18 - [i22]Thomas E. Anderson, Adam Belay, Mosharaf Chowdhury, Asaf Cidon, Irene Zhang:
Treehouse: A Case For Carbon-Aware Datacenter Software. CoRR abs/2201.02120 (2022) - [i21]Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury:
Efficient DNN Training with Knowledge-Guided Layer Freezing. CoRR abs/2201.06227 (2022) - [i20]Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Aditya Akella:
Elastic Model Aggregation with Parameter Service. CoRR abs/2204.03211 (2022) - [i19]Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan:
TPP: Transparent Page Placement for CXL-Enabled Tiered Memory. CoRR abs/2206.02878 (2022) - [i18]Sanjay Sri Vallabh Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury:
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs. CoRR abs/2206.04687 (2022) - [i17]Jie You, Jae-Won Chung, Mosharaf Chowdhury:
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. CoRR abs/2208.06102 (2022) - [i16]Peifeng Yu, Yuqing Qiu, Xin Jin, Mosharaf Chowdhury:
Orloj: Predictably Serving Unpredictable DNNs. CoRR abs/2209.00159 (2022) - [i15]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. CoRR abs/2210.16656 (2022) - [i14]Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang:
Packing Privacy Budget Efficiently. CoRR abs/2212.13228 (2022) - 2021
- [j11]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye:
The Internet of Federated Things (IoFT). IEEE Access 9: 156071-156113 (2021) - [c43]Peifeng Yu, Jiachen Liu, Mosharaf Chowdhury:
Fluid: Resource-aware Hyperparameter Tuning Engine. MLSys 2021 - [c42]Jie You, Jingfeng Wu, Xin Jin, Mosharaf Chowdhury:
Ship Compute or Ship Data? Why Not Both? NSDI 2021: 633-651 - [c41]Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Efficient Federated Learning via Guided Participant Selection. OSDI 2021: 19-35 - [c40]Zhuolong Yu, Chuheng Hu, Jingfeng Wu, Xiao Sun, Vladimir Braverman, Mosharaf Chowdhury, Zhenhua Liu, Xin Jin:
Programmable packet scheduling with a single queue. SIGCOMM 2021: 179-193 - [c39]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. ResilientFL 2021: 1-3 - [i13]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. CoRR abs/2105.11367 (2021) - [i12]Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR abs/2107.10663 (2021) - [i11]Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl A. Waldspurger:
Memtrade: A Disaggregated-Memory Marketplace for Public Clouds. CoRR abs/2108.06893 (2021) - [i10]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye:
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR abs/2111.05326 (2021) - 2020
- [j10]Vibhuti Gupta, Thomas M. Braun, Mosharaf Chowdhury, Muneesh Tewari, Sung Won Choi:
A Systematic Review of Machine Learning Techniques in Hematopoietic Stem Cell Transplantation (HSCT). Sensors 20(21): 6100 (2020) - [c38]Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu:
AlloX: compute allocation in hybrid clusters. EuroSys 2020: 31:1-31:16 - [c37]Peifeng Yu, Mosharaf Chowdhury:
Fine-Grained GPU Sharing Primitives for Deep Learning Applications. MLSys 2020 - [c36]Muhammed Uluyol, Anthony Huang, Ayush Goel, Mosharaf Chowdhury, Harsha V. Madhyastha:
Near-Optimal Latency Versus Cost Tradeoffs in Geo-Distributed Storage. NSDI 2020: 157-180 - [c35]Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Sol: Fast Distributed Computation Over Slow Networks. NSDI 2020: 273-288 - [c34]Zhuolong Yu, Yiwen Zhang, Vladimir Braverman, Mosharaf Chowdhury, Xin Jin:
NetLock: Fast, Centralized Lock Management Using Programmable Switches. SIGCOMM 2020: 126-138 - [c33]Hasan Al Maruf, Mosharaf Chowdhury:
Effectively Prefetching Remote Memory with Leap. USENIX ATC 2020: 843-857 - [i9]Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Informed Participant Selection for Scalable Federated Learning. CoRR abs/2010.06081 (2020)
2010 – 2019
- 2019
- [c32]Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Yibo Zhu, Myeongjae Jeon, Junjie Qian, Hongqiang Harry Liu, Chuanxiong Guo:
Tiresias: A GPU Cluster Manager for Distributed Deep Learning. NSDI 2019: 485-500 - [c31]Mosharaf Chowdhury, Samir Khuller, Manish Purohit, Sheng Yang, Jie You:
Near Optimal Coflow Scheduling in Networks. SPAA 2019: 123-134 - [i8]Peifeng Yu, Mosharaf Chowdhury:
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications. CoRR abs/1902.04610 (2019) - [i7]Jie You, Mosharaf Chowdhury:
Terra: Scalable Cross-Layer GDA Optimizations. CoRR abs/1904.08480 (2019) - [i6]Yiwen Zhang, Yue Tan, Brent E. Stephens, Mosharaf Chowdhury:
RDMA Performance Isolation With Justitia. CoRR abs/1905.04437 (2019) - [i5]Mosharaf Chowdhury, Samir Khuller, Manish Purohit, Sheng Yang, Jie You:
Near Optimal Coflow Scheduling in Networks. CoRR abs/1906.06851 (2019) - [i4]Youngmoon Lee, Hassan Al Maruf, Mosharaf Chowdhury, Kang G. Shin:
Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation. CoRR abs/1910.09727 (2019) - [i3]Hasan Al Maruf, Mosharaf Chowdhury:
Effectively Prefetching Remote Memory with Leap. CoRR abs/1911.09829 (2019) - [i2]Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu:
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters. CoRR abs/1912.03523 (2019) - 2018
- [j9]Xiao Sun, Tan N. Le, Mosharaf Chowdhury, Zhenhua Liu:
Fair Allocation of Heterogeneous and InterchangeableResources. SIGMETRICS Perform. Evaluation Rev. 46(2): 21-23 (2018) - [j8]Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu:
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters. SIGMETRICS Perform. Evaluation Rev. 46(2): 77-78 (2018) - [j7]Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu:
AlloX: Allocation across Computing Resources for Hybrid CPU/GPU clusters. SIGMETRICS Perform. Evaluation Rev. 46(2): 87-88 (2018) - [c30]Hong Zhang, Kai Chen, Mosharaf Chowdhury:
Pas de deux: Shape the Circuits, and Shape the Apps too! APNet 2018: 29-35 - [c29]Anand Padmanabha Iyer, Aurojit Panda, Shivaram Venkataraman, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica:
Bridging the GAP: towards approximate graph analytics. GRADES/NDA@SIGMOD/PODS 2018: 10:1-10:5 - [c28]Anand Padmanabha Iyer, Aurojit Panda, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica:
Monarch: Gaining Command on Geo-Distributed Graph Analytics. HotCloud 2018 - [c27]Fan Lai, Mosharaf Chowdhury, Harsha V. Madhyastha:
To Relay or Not to Relay for Inter-Cloud Transfers? HotCloud 2018 - [c26]Anand Padmanabha Iyer, Li Erran Li, Mosharaf Chowdhury, Ion Stoica:
Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems. MobiCom 2018: 513-528 - [c25]Kshiteej Mahajan, Mosharaf Chowdhury, Aditya Akella, Shuchi Chawla:
Dynamic Query Re-Planning using QOOP. OSDI 2018: 253-267 - [c24]Dong Young Yoon, Mosharaf Chowdhury, Barzan Mozafari:
Distributed Lock Management with RDMA: Decentralization without Starvation. SIGMOD Conference 2018: 1571-1586 - [e1]Mosharaf Chowdhury, Kun Tan:
Proceedings of the 2nd Asia-Pacific Workshop on Networking, APNet 2018, Beijing, China, August 02-03, 2018. ACM 2018, ISBN 978-1-4503-6395-2 [contents] - 2017
- [j6]Juncheng Gu, Youngmoon Lee, Yiwen Zhang, Mosharaf Chowdhury, Kang G. Shin:
Decentralized Memory Disaggregation Over Low-Latency Networks. login Usenix Mag. 42(4) (2017) - [c23]Linh Nguyen, Peifeng Yu, Mosharaf Chowdhury:
No!: Not Another Deep Learning Framework. HotOS 2017: 88-93 - [c22]Juncheng Gu, Youngmoon Lee, Yiwen Zhang, Mosharaf Chowdhury, Kang G. Shin:
Efficient Memory Disaggregation with Infiniswap. NSDI 2017: 649-667 - [c21]Yiwen Zhang, Juncheng Gu, Youngmoon Lee, Mosharaf Chowdhury, Kang G. Shin:
Performance Isolation Anomalies in RDMA. KBNets@SIGCOMM 2017: 43-48 - [c20]Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Mosharaf Chowdhury:
Resilient Datacenter Load Balancing in the Wild. SIGCOMM 2017: 253-266 - 2016
- [c19]Mosharaf Chowdhury, Zhenhua Liu, Ali Ghodsi, Ion Stoica:
HUG: Multi-Resource Fairness for Correlated and Elastic Demands. NSDI 2016: 407-424 - [c18]Robert Grandl, Mosharaf Chowdhury, Aditya Akella, Ganesh Ananthanarayanan:
Altruistic Scheduling in Multi-Resource Clusters. OSDI 2016: 65-80 - [c17]K. V. Rashmi, Mosharaf Chowdhury, Jack Kosaian, Ion Stoica, Kannan Ramchandran:
EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding. OSDI 2016: 401-417 - [c16]Hong Zhang, Li Chen, Bairen Yi, Kai Chen, Mosharaf Chowdhury, Yanhui Geng:
CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark. SIGCOMM 2016: 160-173 - [i1]Anand Padmanabha Iyer, Ion Stoica, Mosharaf Chowdhury, Li Erran Li:
Fast and Accurate Performance Analysis of LTE Radio Access Networks. CoRR abs/1605.04652 (2016) - 2015
- [b1]N. M. Mosharaf Kabir Chowdhury:
Coflow: A Networking Abstraction for Distributed Data-Parallel Applications. University of California, Berkeley, USA, 2015 - [c15]Mosharaf Chowdhury, Ion Stoica:
Efficient Coflow Scheduling Without Prior Knowledge. SIGCOMM 2015: 393-406 - 2014
- [c14]Mosharaf Chowdhury, Yuan Zhong, Ion Stoica:
Efficient coflow scheduling with Varys. SIGCOMM 2014: 443-454 - 2013
- [j5]Fady Samuel, Mosharaf Chowdhury, Raouf Boutaba:
PolyViNE: policy-based virtual network embedding across multiple domains. J. Internet Serv. Appl. 4(1): 6:1-6:23 (2013) - [c13]Mosharaf Chowdhury, Srikanth Kandula, Ion Stoica:
Leveraging endpoint flexibility in data-intensive clusters. SIGCOMM 2013: 231-242 - 2012
- [j4]Mosharaf Chowdhury, Muntasir Raihan Rahman, Raouf Boutaba:
ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping. IEEE/ACM Trans. Netw. 20(1): 206-219 (2012) - [j3]Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, James Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica:
Fast and Interactive Analytics over Hadoop Data with Spark. login Usenix Mag. 37(4) (2012) - [c12]Gautam Kumar, Mosharaf Chowdhury, Sylvia Ratnasamy, Ion Stoica:
A Case for Performance-Centric Network Allocation. HotCloud 2012 - [c11]Mosharaf Chowdhury, Ion Stoica:
Coflow: a networking abstraction for cluster applications. HotNets 2012: 31-36 - [c10]Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael J. Franklin, Scott Shenker, Ion Stoica:
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. NSDI 2012: 15-28 - [c9]Lucian Popa, Gautam Kumar, Mosharaf Chowdhury, Arvind Krishnamurthy, Sylvia Ratnasamy, Ion Stoica:
FairCloud: sharing the network in cloud computing. SIGCOMM 2012: 187-198 - [c8]Peter Bodík, Ishai Menache, Mosharaf Chowdhury, Pradeepkumar Mani, David A. Maltz, Ion Stoica:
Surviving failures in bandwidth-constrained datacenters. SIGCOMM 2012: 431-442 - 2011
- [c7]Mosharaf Chowdhury, Matei Zaharia, Justin Ma, Michael I. Jordan, Ion Stoica:
Managing data transfers in computer clusters with orchestra. SIGCOMM 2011: 98-109 - 2010
- [j2]N. M. Mosharaf Kabir Chowdhury, Raouf Boutaba:
A survey of network virtualization. Comput. Networks 54(5): 862-876 (2010) - [c6]Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica:
Spark: Cluster Computing with Working Sets. HotCloud 2010 - [c5]Nabeel Farooq Butt, N. M. Mosharaf Kabir Chowdhury, Raouf Boutaba:
Topology-Awareness and Reoptimization Mechanism for Virtual Network Embedding. Networking 2010: 27-39 - [c4]Mosharaf Chowdhury, Fady Samuel, Raouf Boutaba:
PolyViNE: policy-based virtual network embedding across multiple domains. VISA@SIGCOMM 2010: 49-56
2000 – 2009
- 2009
- [j1]N. M. Mosharaf Kabir Chowdhury, Raouf Boutaba:
Network virtualization: state of the art and research challenges. IEEE Commun. Mag. 47(7): 20-26 (2009) - [c3]N. M. Mosharaf Kabir Chowdhury, Fida-E. Zaheer, Raouf Boutaba:
iMark: An identity management framework for network virtualization environment. Integrated Network Management 2009: 335-342 - [c2]N. M. Mosharaf Kabir Chowdhury, Muntasir Raihan Rahman, Raouf Boutaba:
Virtual Network Embedding with Coordinated Node and Link Mapping. INFOCOM 2009: 783-791 - 2007
- [c1]N. M. Mosharaf Kabir Chowdhury, Md. Mostofa Akbar, Mohammad Kaykobad:
DiskTrie: An Efficient Data Structure using Flash Memory for Mobile Devices. WALCOM 2007: 76-87
Coauthor Index
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