Arvind Krishnamurthy

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 116

Top Venues

Publications

Jaehong Min, Chenxingyu Zhao, Ming Liu, Arvind Krishnamurthy
eZNS: Elastic Zoned Namespace for Enhanced Performance Isolation and Device Utilization. ACM Trans. Storage 20 (3) (2024)
Xieyang Xu, Yifei Yuan, Zachary Kincaid, Arvind Krishnamurthy, Ratul Mahajan, David Walker, Ennan Zhai
Relational Network Verification. SIGCOMM (2024)
Lloyd Brown, Emily Marx, Dev Bali, Emmanuel Amaro, Debnil Sur, Ezra Kissel, Inder Monga, Ethan Katz-Bassett, Arvind Krishnamurthy, James Murphy McCauley, Tejas Narechania, Aurojit Panda, Scott Shenker
An Architecture For Edge Networking Services. SIGCOMM (2024)
Will Lin, Yizhou Shan, Ryan Kosta, Arvind Krishnamurthy, Yiying Zhang
SuperNIC: An FPGA-Based, Cloud-Oriented SmartNIC. FPGA (2024)
Xieyang Xu, Yifei Yuan, Zachary Kincaid, Arvind Krishnamurthy, Ratul Mahajan, David Walker, Ennan Zhai
Relational Network Verification. CoRR (2024)
Lloyd Brown, Albert Gran Alcoz, Frank Cangialosi, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Eric J. Friedman, Ethan Katz-Bassett, Arvind Krishnamurthy, Michael Schapira, Scott Shenker
Principles for Internet Congestion Management. SIGCOMM (2024)
Tianyi Cui, Chenxingyu Zhao, Wei Zhang, Kaiyuan Zhang, Arvind Krishnamurthy
Laconic: Streamlined Load Balancers for SmartNICs. CoRR (2024)
Midhul Vuppalapati, Saksham Agarwal, Henry Schuh, Baris Kasikci, Arvind Krishnamurthy, Rachit Agarwal
Understanding the Host Network. SIGCOMM (2024)
Liangyu Zhao, Saeed Maleki, Ziyue Yang, Hossein Pourreza, Aashaka Shah, Changho Hwang, Arvind Krishnamurthy
ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics. CoRR (2024)
Henry N. Schuh, Arvind Krishnamurthy, David E. Culler, Henry M. Levy, Luigi Rizzo, Samira Manabi Khan, Brent E. Stephens
CC-NIC: a Cache-Coherent Interface to the NIC. ASPLOS (1) (2024)
Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. MLSys (2024)
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
Punica: Multi-Tenant LoRA Serving. MLSys (2024)
Xiangfeng Zhu, Guozhen She, Bowen Xue, Yu Zhang, Yongsu Zhang, Xuan Kelvin Zou, Xiongchun Duan, Peng He, Arvind Krishnamurthy, Matthew Lentz, Danyang Zhuo, Ratul Mahajan
Dissecting Overheads of Service Mesh Sidecars. SoCC (2023)
Marjory Blumenthal, Ramesh Govindan, Ethan Katz-Bassett, Arvind Krishnamurthy, James Murphy McCauley, Nick Merrill, Tejas Narechania, Aurojit Panda, Scott Shenker
Can We Save the Public Internet? Comput. Commun. Rev. 53 (3) (2023)
Siddharth Pal, Liangyu Zhao, Jason Fantl, Joud Khoury, Arvind Krishnamurthy, Prithwish Basu
Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies. CoRR (2023)
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
Bringing Reconfigurability to the Network Stack. CoRR (2023)
Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving. CoRR (2023)
Saksham Agarwal, Arvind Krishnamurthy, Rachit Agarwal
Host Congestion Control. SIGCOMM (2023)
Chenxingyu Zhao, Yulin Sun, Ying Xiong, Arvind Krishnamurthy
Quark: A High-Performance Secure Container Runtime for Serverless Computing. CoRR (2023)
Xiangfeng Zhu, Weixin Deng, Banruo Liu, Jingrong Chen, Yongji Wu, Thomas Anderson, Arvind Krishnamurthy, Ratul Mahajan, Danyang Zhuo
Application Defined Networks. HotNets (2023)
Liangyu Zhao, Arvind Krishnamurthy
Bandwidth Optimal Pipeline Schedule for Collective Communication. CoRR (2023)
Jaehong Min, Chenxingyu Zhao, Ming Liu, Arvind Krishnamurthy
eZNS: An Elastic Zoned Namespace for Commodity ZNS SSDs. OSDI (2023)
Tapan Chugh, Srikanth Kandula, Arvind Krishnamurthy, Ratul Mahajan, Ishai Menache
Anticipatory Resource Allocation for ML Training. SoCC (2023)
Korakit Seemakhupt, Brent E. Stephens, Samira Manabi Khan, Sihang Liu, Hassan M. G. Wassel, Soheil Hassas Yeganeh, Alex C. Snoeren, Arvind Krishnamurthy, David E. Culler, Henry M. Levy
A Cloud-Scale Characterization of Remote Procedure Calls. SOSP (2023)
Lequn Chen, Weixin Deng, Anirudh Canumalla, Yu Xin, Matthai Philipose, Arvind Krishnamurthy
Symphony: Optimized Model Serving using Centralized Orchestration. CoRR (2023)
Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Songyuan Sui, Khalid Manaa, Omer Shabtai, Yonatan Piasetzky, Matty Kadosh, Arvind Krishnamurthy, T. S. Eugene Ng, Ang Chen
Unleashing SmartNIC Packet Processing Performance in P4. SIGCOMM (2023)
Yulin Sun, Qingming Qu, Chenxingyu Zhao, Arvind Krishnamurthy, Hong Chang, Ying Xiong
TSoR: TCP Socket over RDMA Container Network for Cloud Native Computing. CoRR (2023)
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
Punica: Multi-Tenant LoRA Serving. CoRR (2023)
Lloyd Brown, Yash Kothari, Akshay Narayan, Arvind Krishnamurthy, Aurojit Panda, Justine Sherry, Scott Shenker
How I Learned to Stop Worrying About CCA Contention. HotNets (2023)
Liangyu Zhao, Siddharth Pal, Tapan Chugh, Weiyang Wang, Prithwish Basu, Joud Khoury, Arvind Krishnamurthy
Optimal Direct-Connect Topologies for Collective Communications. CoRR (2022)
Chenxingyu Zhao, Tapan Chugh, Jaehong Min, Ming Liu, Arvind Krishnamurthy
Dremel: Adaptive Configuration Tuning of RocksDB KV-Store. SIGMETRICS (Abstracts) (2022)
Xiangfeng Zhu, Guozhen She, Bowen Xue, Yu Zhang, Yongsu Zhang, Xuan Kelvin Zou, Xiongchun Duan, Peng He, Arvind Krishnamurthy, Matthew Lentz, Danyang Zhuo, Ratul Mahajan
Dissecting Service Mesh Overheads. CoRR (2022)
Jiarong Xing, Kuo-Feng Hsu, Matty Kadosh, Alan Lo, Yonatan Piasetzky, Arvind Krishnamurthy, Ang Chen
Runtime Programmable Switches. NSDI (2022)
Chenxingyu Zhao, Tapan Chugh, Jaehong Min, Ming Liu, Arvind Krishnamurthy
Dremel: Adaptive Configuration Tuning of RocksDB KV-Store. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys (2022)
Henry N. Schuh, Weihao Liang, Ming Liu, Jacob Nelson, Arvind Krishnamurthy
Xenic: SmartNIC-Accelerated Distributed Transactions. SOSP (2021)
Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Hongyi Liu, Matty Kadosh, Alan Lo, Aditya Akella, Thomas Anderson, Arvind Krishnamurthy, T. S. Eugene Ng, Ang Chen
A Vision for Runtime Programmable Networks. HotNets (2021)
Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering. CoRR (2021)
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. ICLR (2021)
Hari Balakrishnan, Sujata Banerjee, Israel Cidon, David E. Culler, Deborah Estrin, Ethan Katz-Bassett, Arvind Krishnamurthy, James Murphy McCauley, Nick McKeown, Aurojit Panda, Sylvia Ratnasamy, Jennifer Rexford, Michael Schapira, Scott Shenker, Ion Stoica, David L. Tennenhouse, Amin Vahdat, Ellen W. Zegura
Revitalizing the public internet by making it extensible. Comput. Commun. Rev. 51 (2) (2021)
Tianyi Cui, Wei Zhang, Kaiyuan Zhang, Arvind Krishnamurthy
Offloading load balancers onto SmartNICs. APSys (2021)
Yizhou Shan, Will Lin, Ryan Kosta, Arvind Krishnamurthy, Yiying Zhang
Disaggregating and Consolidating Network Functionalities with SuperNIC. CoRR (2021)
Jaehong Min, Ming Liu, Tapan Chugh, Chenxingyu Zhao, Andrew Wei, In Hwan Doh, Arvind Krishnamurthy
Gimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFs. SIGCOMM (2021)
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. CoRR (2021)
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI (2021)
Naveen Kr. Sharma, Chenxingyu Zhao, Ming Liu, Pravein G. Kannan, Changhoon Kim, Arvind Krishnamurthy, Anirudh Sivaraman
Programmable Calendar Queues for High-speed Packet Scheduling. NSDI (2020)
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
Bertha: Tunneling through the Network API. HotNets (2020)
Adriana Szekeres, Michael J. Whittaker, Jialin Li, Naveen Kr. Sharma, Arvind Krishnamurthy, Dan R. K. Ports, Irene Zhang
Meerkat: multicore-scalable replicated transactions following the zero-coordination principle. EuroSys (2020)
Raymond Cheng, William Scott, Elisaweta Masserova, Irene Zhang, Vipul Goyal, Thomas E. Anderson, Arvind Krishnamurthy, Bryan Parno
Talek: Private Group Messaging with Hidden Access Patterns. CoRR (2020)
Luke Nelson, James Bornholt, Arvind Krishnamurthy, Emina Torlak, Xi Wang
Noninterference specifications for secure systems. ACM SIGOPS Oper. Syst. Rev. 54 (1) (2020)
Lloyd Brown, Ganesh Ananthanarayanan, Ethan Katz-Bassett, Arvind Krishnamurthy, Sylvia Ratnasamy, Michael Schapira, Scott Shenker
On the Future of Congestion Control for the Public Internet. HotNets (2020)
Kaiyuan Zhang, Danyang Zhuo, Aditya Akella, Arvind Krishnamurthy, Xi Wang
Automated Verification of Customizable Middlebox Properties with Gravel. NSDI (2020)
Niel Lebeck, Arvind Krishnamurthy, Henry M. Levy, Irene Zhang
End the Senseless Killing: Improving Memory Management for Mobile Operating Systems. USENIX Annual Technical Conference (2020)
Kaiyuan Zhang, Danyang Zhuo, Arvind Krishnamurthy
Gallium: Automated Software Middlebox Offloading to Programmable Switches. SIGCOMM (2020)
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze
Srift: Swift and Thrift Cloud-Based Distributed Training. CoRR (2020)
Raymond Cheng, William Scott, Elisaweta Masserova, Irene Zhang, Vipul Goyal, Thomas E. Anderson, Arvind Krishnamurthy, Bryan Parno
Talek: Private Group Messaging with Hidden Access Patterns. IACR Cryptol. ePrint Arch. 2020 (2020)
Raymond Cheng, William Scott, Elisaweta Masserova, Irene Zhang, Vipul Goyal, Thomas E. Anderson, Arvind Krishnamurthy, Bryan Parno
Talek: Private Group Messaging with Hidden Access Patterns. ACSAC (2020)
Emmanuel Amaro, Zhihong Luo, Amy Ousterhout, Arvind Krishnamurthy, Aurojit Panda, Sylvia Ratnasamy, Scott Shenker
Remote Memory Calls. HotNets (2020)
Ming Liu, Arvind Krishnamurthy, Harsha V. Madhyastha, Rishi Bhardwaj, Karan Gupta, Chinmay Kamat, Huapeng Yuan, Aditya Jaltade, Roger Liao, Pavan Konka, Anoop Jawahar
Fine-Grained Replicated State Machines for a Cluster Storage System. NSDI (2020)
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. MLSys (2020)
Adriana Szekeres, Irene Zhang, Katelin Bailey, Isaac Ackerman, Haichen Shen, Franziska Roesner, Dan R. K. Ports, Arvind Krishnamurthy, Henry M. Levy
Making Distributed Mobile Applications SAFE: Enforcing User Privacy Policies on Untrusted Applications with Secure Application Flow Enforcement. CoRR (2020)
Yotam Harchol, Dirk Bergemann, Nick Feamster, Eric J. Friedman, Arvind Krishnamurthy, Aurojit Panda, Sylvia Ratnasamy, Michael Schapira, Scott Shenker
A Public Option for the Core. SIGCOMM (2020)
Justin Chan, Anran Wang, Arvind Krishnamurthy, Shyamnath Gollakota
DeepSense: Enabling Carrier Sense in Low-Power Wide Area Networks Using Deep Learning. CoRR (2019)
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR (2019)
Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram
Nexus: a GPU cluster engine for accelerating DNN-based video analysis. SOSP (2019)
Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
A Hardware-Software Blueprint for Flexible Deep Learning Specialization. IEEE Micro 39 (5) (2019)
Antoine Kaufmann, Tim Stamler, Simon Peter, Naveen Kr. Sharma, Arvind Krishnamurthy, Thomas E. Anderson
TAS: TCP Acceleration as an OS Service. EuroSys (2019)
Danyang Zhuo, Kaiyuan Zhang, Yibo Zhu, Hongqiang Harry Liu, Matthew Rockett, Arvind Krishnamurthy, Thomas E. Anderson
Slim: OS Kernel Support for a Low-Overhead Container Overlay Network. NSDI (2019)
Ming Liu, Tianyi Cui, Henry Schuh, Arvind Krishnamurthy, Simon Peter, Karan Gupta
Offloading distributed applications onto smartNICs using iPipe. SIGCOMM (2019)
Samantha Miller, Kaiyuan Zhang, Danyang Zhuo, Shibin Xu, Arvind Krishnamurthy, Thomas E. Anderson
Practical Safe Linux Kernel Extensibility. HotOS (2019)
Yuchen Jin, Sundararajan Renganathan, Ganesh Ananthanarayanan, Junchen Jiang, Venkata N. Padmanabhan, Manuel Schröder, Matt Calder, Arvind Krishnamurthy
Zooming in on wide-area latencies to a global cloud provider. SIGCOMM (2019)
Ming Liu, Simon Peter, Arvind Krishnamurthy, Phitchaya Mangpo Phothilimthana
E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers. USENIX Annual Technical Conference (2019)
James Murphy McCauley, Aurojit Panda, Arvind Krishnamurthy, Scott Shenker
Thoughts on load distribution and the role of programmable switches. Comput. Commun. Rev. 49 (1) (2019)
Yuchen Jin, Colin Scott, Amogh Dhamdhere, Vasileios Giotsas, Arvind Krishnamurthy, Scott Shenker
Stable and Practical AS Relationship Inference with ProbLink. NSDI (2019)
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
TVM: End-to-End Optimization Stack for Deep Learning. CoRR (2018)
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training. CoRR (2018)
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. CoRR (2018)
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. OSDI (2018)
Ignacio Cano, Lequn Chen, Pedro Fonseca, Tianqi Chen, Chern Cheah, Karan Gupta, Ramesh Chandra, Arvind Krishnamurthy
ADARES: Adaptive Resource Management for Virtual Machines. CoRR (2018)
Qiao Zhang, Guo Yu, Chuanxiong Guo, Yingnong Dang, Nick Swanson, Xinsheng Yang, Randolph Yao, Murali Chintalapati, Arvind Krishnamurthy, Thomas E. Anderson
Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure. NSDI (2018)
Radhika Mittal, Alexander Shpiner, Aurojit Panda, Eitan Zahavi, Arvind Krishnamurthy, Sylvia Ratnasamy, Scott Shenker
Revisiting Network Support for RDMA. CoRR (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. NeurIPS (2018)
Naveen Kr. Sharma, Ming Liu, Kishore Atreya, Arvind Krishnamurthy
Approximating Fair Queueing on Reconfigurable Switches. NSDI (2018)
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. SoCC (2018)
Pedro Fonseca, Xi Wang, Arvind Krishnamurthy
MultiNyx: a multi-level abstraction framework for systematic analysis of hypervisors. EuroSys (2018)
Qiao Zhang, Danyang Zhuo, Vincent Liu, Petr Lapukhov, Simon Peter, Arvind Krishnamurthy, Thomas E. Anderson
Volur: Concurrent Edge/Core Route Control in Data Center Networks. CoRR (2018)
Radhika Mittal, Alexander Shpiner, Aurojit Panda, Eitan Zahavi, Arvind Krishnamurthy, Sylvia Ratnasamy, Scott Shenker
Revisiting network support for RDMA. SIGCOMM (2018)
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. CoRR (2018)
Irene Zhang, Naveen Kr. Sharma, Adriana Szekeres, Arvind Krishnamurthy, Dan R. K. Ports
Building Consistent Transactions with Inconsistent Replication. ACM Trans. Comput. Syst. 35 (4) (2018)
Danyang Zhuo, Monia Ghobadi, Ratul Mahajan, Klaus-Tycho Förster, Arvind Krishnamurthy, Thomas E. Anderson
Understanding and Mitigating Packet Corruption in Data Center Networks. SIGCOMM (2017)
Aurojit Panda, Wenting Zheng, Xiaohe Hu, Arvind Krishnamurthy, Scott Shenker
SCL: Simplifying Distributed SDN Control Planes. NSDI (2017)
Ming Liu, Liang Luo, Jacob Nelson, Luis Ceze, Arvind Krishnamurthy, Kishore Atreya
IncBricks: Toward In-Network Computation with an In-Network Cache. ASPLOS (2017)
Qiao Zhang, Vincent Liu, Hongyi Zeng, Arvind Krishnamurthy
High-resolution measurement of data center microbursts. Internet Measurement Conference (2017)
Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
Fast Video Classification via Adaptive Cascading of Deep Models. CVPR (2017)
Danyang Zhuo, Monia Ghobadi, Ratul Mahajan, Amar Phanishayee, Xuan Kelvin Zou, Hang Guan, Arvind Krishnamurthy, Thomas E. Anderson
RAIL: A Case for Redundant Arrays of Inexpensive Links in Data Center Networks. NSDI (2017)
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy
Towards Geo-Distributed Machine Learning. IEEE Data Eng. Bull. 40 (4) (2017)
Pedro Fonseca, Kaiyuan Zhang, Xi Wang, Arvind Krishnamurthy
An Empirical Study on the Correctness of Formally Verified Distributed Systems. EuroSys (2017)
Ignacio Cano, Srinivas Aiyar, Varun Arora, Manosiz Bhattacharyya, Akhilesh Chaganti, Chern Cheah, Brent N. Chun, Karan Gupta, Vinayak Khot, Arvind Krishnamurthy
Curator: Self-Managing Storage for Enterprise Clusters. NSDI (2017)
Naveen Kr. Sharma, Antoine Kaufmann, Thomas E. Anderson, Arvind Krishnamurthy, Jacob Nelson, Simon Peter
Evaluating the Power of Flexible Packet Processing for Network Resource Allocation. NSDI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arvind Krishnamurthy