Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMarco Canini
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c93]Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini:
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. APSys 2024: 88-94- [c92]Banruo Liu
, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini:
Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. NAIC 2024: 1-3 - [c91]Achref Rebai, Mubarak Adetunji Ojewale, Anees Ullah, Marco Canini, Suhaib A. Fahmy:
SqueezeNIC: Low-Latency In-NIC Compression for Distributed Deep Learning. NAIC 2024: 61-68 - [c90]Tongzhou Gu, Jiawei Fei, Marco Canini:
OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs. NAIC 2024: 75-83 - [i33]Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth:
Flashback: Understanding and Mitigating Forgetting in Federated Learning. CoRR abs/2402.05558 (2024) - [i32]Norah Alballa, Marco Canini:
Practical Insights into Knowledge Distillation for Pre-Trained Models. CoRR abs/2402.14922 (2024) - [i31]Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini:
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. CoRR abs/2405.02969 (2024) - [i30]Salma Kharrat, Marco Canini, Samuel Horváth:
Decentralized Personalized Federated Learning. CoRR abs/2406.06520 (2024) - [i29]Janez Bozic, Amândio Faustino, Boris Radovic, Marco Canini, Veljko Pejovic:
Where is the Testbed for my Federated Learning Research? CoRR abs/2407.14154 (2024) - 2023
- [j15]Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini:
A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet Things J. 10(16): 14071-14083 (2023) - [c89]Shuo Liu, Qiaoling Wang, Junyi Zhang, Wenfei Wu, Qinliang Lin, Yao Liu, Meng Xu, Marco Canini, Ray C. C. Cheung, Jianfei He:
In-Network Aggregation with Transport Transparency for Distributed Training. ASPLOS (3) 2023: 376-391 - [c88]Alessandro Cornacchia, Theophilus A. Benson, Muhammad Bilal, Marco Canini:
MicroView: Cloud-Native Observability with Temporal Precision. StudentWorkshop@CoNEXT 2023: 7-8 - [c87]Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik:
Kimad: Adaptive Gradient Compression with Bandwidth Awareness. DistributedML@CoNEXT 2023: 35-48 - [c86]Norah Alballa, Marco Canini:
A First Look at the Impact of Distillation Hyper-Parameters in Federated Knowledge Distillation. EuroMLSys@EuroSys 2023: 123-130 - [c85]Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
REFL: Resource-Efficient Federated Learning. EuroSys 2023: 215-232 - [c84]Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues:
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. EuroSys 2023: 381-397 - [c83]Matteo Ruggeri, Alice Dethise, Marco Canini:
On Detecting Biased Predictions with Post-hoc Explanation Methods. SAFE@CoNEXT 2023: 17-23 - [c82]Congcong Miao, Yunming Xiao, Marco Canini, Ruiqiang Dai, Shengli Zheng, Jilong Wang, Jiwu Bu, Aleksandar Kuzmanovic, Yachen Wang:
TENSOR: Lightweight BGP Non-Stop Routing. SIGCOMM 2023: 108-121 - [c81]Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig:
SAGE: Software-based Attestation for GPU Execution. USENIX ATC 2023: 485-499 - [i28]Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini:
FilFL: Accelerating Federated Learning via Client Filtering. CoRR abs/2302.06599 (2023) - [i27]Jihao Xin, Marco Canini, Peter Richtárik, Samuel Horváth:
Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees. CoRR abs/2305.18627 (2023) - [i26]Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik:
Kimad: Adaptive Gradient Compression with Bandwidth Awareness. CoRR abs/2312.08053 (2023) - 2022
- [j14]Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik:
Direct nonlinear acceleration. EURO J. Comput. Optim. 10: 100047 (2022) - [j13]Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid:
Renaissance: A self-stabilizing distributed SDN control plane using in-band communications. J. Comput. Syst. Sci. 127: 91-121 (2022) - [c80]Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini:
Empirical analysis of federated learning in heterogeneous environments. EuroMLSys@EuroSys 2022: 1-9 - [c79]Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik:
Natural Compression for Distributed Deep Learning. MSML 2022: 129-141 - [c78]Waleed Reda, Marco Canini, Dejan Kostic, Simon Peter:
RDMA is Turing complete, we just did not know it yet! NSDI 2022: 71-85 - [c77]Yifan Yuan, Omar Alama, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Amedeo Sapio, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. NSDI 2022: 683-700 - [i25]Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig:
SAGE: Software-based Attestation for GPU Execution. CoRR abs/2209.03125 (2022) - 2021
- [c76]Ahmed M. Abdelmoniem, Marco Canini:
Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. EuroMLSys@EuroSys 2021: 96-103 - [c75]Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis:
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS 2021: 561-572 - [c74]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 - [c73]Ahmed M. Abdelmoniem, Marco Canini:
DC2: Delay-aware Compression Control for Distributed Machine Learning. INFOCOM 2021: 1-10 - [c72]Arnaud Dethise, Marco Canini, Nina Narodytska:
Analyzing Learning-Based Networked Systems with Formal Verification. INFOCOM 2021: 1-10 - [c71]Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini:
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. MLSys 2021 - [c70]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. NeurIPS 2021: 8133-8146 - [c69]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: 785-808 - [c68]Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio:
Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM 2021: 676-691 - [c67]Jongyul Kim, Insu Jang, Waleed Reda, Jaeseong Im, Marco Canini, Dejan Kostic, Youngjin Kwon, Simon Peter, Emmett Witchel:
LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism. SOSP 2021: 756-771 - [c66]Zhenyu Zhou, Theophilus A. Benson, Marco Canini, Balakrishnan Chandrasekaran:
Tardis: A Fault-Tolerant Design for Network Control Planes. SOSR 2021: 108-121 - [i24]Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini:
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. CoRR abs/2101.10761 (2021) - [i23]Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini:
On the Impact of Device and Behavioral Heterogeneity in Federated Learning. CoRR abs/2102.07500 (2021) - [i22]Waleed Reda, Marco Canini, Dejan Kostic, Simon Peter:
RDMA is Turing complete, we just did not know it yet! CoRR abs/2103.13351 (2021) - [i21]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 abs/2105.10762 (2021) - [i20]Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues:
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. CoRR abs/2105.14845 (2021) - [i19]Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis:
Rethinking gradient sparsification as total error minimization. CoRR abs/2108.00951 (2021) - [i18]Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy:
Resource-Efficient Federated Learning. CoRR abs/2111.01108 (2021) - [i17]Yifan Yuan, Omar Alama, Amedeo Sapio, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. CoRR abs/2112.06095 (2021) - 2020
- [j12]Pedro de B. Marcos, Marco Chiesa, Christoph Dietzel, Marco Canini, Marinho P. Barcellos:
A survey on the current internet interconnection practices. Comput. Commun. Rev. 50(1): 10-17 (2020) - [j11]Muhammad Bilal, Marco Serafini, Marco Canini, Rodrigo Rodrigues:
Do the Best Cloud Configurations Grow on Trees? An Experimental Evaluation of Black Box Algorithms for Optimizing Cloud Workloads Sub. Proc. VLDB Endow. 13(11): 2563-2575 (2020) - [j10]Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann:
Toward Consistent SDNs: A Case for Network State Fuzzing. IEEE Trans. Netw. Serv. Manag. 17(2): 668-681 (2020) - [j9]Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé:
P4xos: Consensus as a Network Service. IEEE/ACM Trans. Netw. 28(4): 1726-1738 (2020) - [c65]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI 2020: 3817-3824 - [c64]Muhammad Bilal, Marco Canini, Rodrigo Rodrigues:
Finding the right cloud configuration for analytics clusters. SoCC 2020: 208-222 - [c63]Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis:
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT 2020: 21-27 - [c62]Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel:
Assise: Performance and Availability via Client-local NVM in a Distributed File System. OSDI 2020: 1011-1027
2010 – 2019
- 2019
- [c61]Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini, Balachander Krishnamurthy:
Measurements As First-class Artifacts. INFOCOM 2019: 415-423 - [c60]Arnaud Dethise, Marco Canini, Srikanth Kandula:
Cracking Open the Black Box: What Observations Can Tell Us About Reinforcement Learning Agents. NetAI@SIGCOMM 2019: 29-36 - [i16]Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini, Balachander Krishnamurthy:
Measurements As First-class Artifacts. CoRR abs/1901.05279 (2019) - [i15]Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé:
Partitioned Paxos via the Network Data Plane. CoRR abs/1901.08806 (2019) - [i14]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 abs/1903.06701 (2019) - [i13]Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann:
Consistent SDNs through Network State Fuzzing. CoRR abs/1904.08977 (2019) - [i12]Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik:
Natural Compression for Distributed Deep Learning. CoRR abs/1905.10988 (2019) - [i11]Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik:
Direct Nonlinear Acceleration. CoRR abs/1905.11692 (2019) - [i10]Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel:
Assise: Performance and Availability via NVM Colocation in a Distributed File System. CoRR abs/1910.05106 (2019) - [i9]Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis:
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR abs/1911.08250 (2019) - 2018
- [j8]Maciej Kuzniar, Peter Peresíni, Dejan Kostic, Marco Canini:
Methodology, measurement and analysis of flow table update characteristics in hardware openflow switches. Comput. Networks 136: 22-36 (2018) - [c59]Yousef Alowayed, Marco Canini, Pedro de B. Marcos, Marco Chiesa, Marinho P. Barcellos:
Picking a Partner: A Fair Blockchain Based Scoring Protocol for Autonomous Systems. ANRW 2018: 33-39 - [c58]Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos:
Dynam-IX: a Dynamic Interconnection exchange. ANRW 2018: 94 - [c57]Arnaud Dethise, Marco Chiesa, Marco Canini:
Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks. APNet 2018: 50-56 - [c56]Kirill Bogdanov, Waleed Reda, Gerald Q. Maguire Jr., Dejan Kostic, Marco Canini:
Fast and Accurate Load Balancing for Geo-Distributed Storage Systems. SoCC 2018: 386-400 - [c55]Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos:
Dynam-IX: a dynamic interconnection eXchange. CoNEXT 2018: 228-240 - [c54]Muhammad Bilal, Hassan Alsibyani, Marco Canini:
Mitigating Network Side Channel Leakage for Stream Processing Systems in Trusted Execution Environments. DEBS 2018: 16-27 - [c53]Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid:
Renaissance: A Self-Stabilizing Distributed SDN Control Plane. ICDCS 2018: 233-243 - [c52]Pradeeban Kathiravelu, Marco Chiesa, Pedro de B. Marcos, Marco Canini, Luís Veiga:
Moving Bits with a Fleet of Shared Virtual Routers. Networking 2018: 352-360 - [c51]Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos:
Dynam-IX: a Dynamic Interconnection eXchange. SIGCOMM Posters and Demos 2018: 12-14 - [c50]Arpit Gupta, Rob Harrison, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger:
Sonata: query-driven streaming network telemetry. SIGCOMM 2018: 357-371 - [i8]Arnaud Dethise, Marco Chiesa, Marco Canini:
Prelude: Ensuring Inter-Domain Loop-Freedom in~SDN-Enabled Networks. CoRR abs/1806.09566 (2018) - 2017
- [j7]Nikolaj S. Bjørner, Marco Canini, Nik Sultana:
Report on Networking and Programming Languages 2017. Comput. Commun. Rev. 47(5): 39-41 (2017) - [j6]Gianni Antichi, Ignacio Castro, Marco Chiesa, Eder Leão Fernandes, Remy Lapeyrade, Daniel Kopp, Jong Hun Han, Marc Bruyere, Christoph Dietzel, Mitchell Gusat, Andrew W. Moore, Philippe Owezarski, Steve Uhlig, Marco Canini:
ENDEAVOUR: A Scalable SDN Architecture For Real-World IXPs. IEEE J. Sel. Areas Commun. 35(11): 2553-2562 (2017) - [c49]Muhammad Bilal, Marco Canini:
Towards automatic parameter tuning of stream processing systems. SoCC 2017: 189-200 - [c48]Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini, Florin Ciucu:
Distributed resource management across process boundaries. SoCC 2017: 611-623 - [c47]Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis:
DAIET: a system for data aggregation inside the network. SoCC 2017: 626 - [c46]Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider:
SIXPACK: Securing Internet eXchange Points Against Curious onlooKers. CoNEXT 2017: 120-133 - [c45]Waleed Reda, Marco Canini, P. Lalith Suresh, Dejan Kostic, Sean Braithwaite:
Rein: Taming Tail Latency in Key-Value Stores via Multiget Scheduling. EuroSys 2017: 95-110 - [c44]Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis:
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets 2017: 150-156 - [c43]Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid:
A Self-Organizing Distributed and In-Band SDN Control Plane. ICDCS 2017: 2656-2657 - [c42]Leonid Ryzhyk, Nikolaj S. Bjørner, Marco Canini, Jean-Baptiste Jeannin, Cole Schlesinger, Douglas B. Terry, George Varghese:
Correct by Construction Networks Using Stepwise Refinement. NSDI 2017: 683-698 - [c41]Arnaud Dethise, Marco Chiesa, Marco Canini:
Privacy-Preserving Detection of Inter-Domain SDN Rules Overlaps. SIGCOMM Posters and Demos 2017: 6-8 - [c40]Marco Canini, Jon Crowcroft:
Learning Reproducibility with a Yearly Networking Contest. Reproducibility@SIGCOMM 2017: 9-13 - [c39]Thanh Dang Nguyen, Marco Chiesa, Marco Canini:
Decentralized Consistent Updates in SDN. SOSR 2017: 21-33 - [c38]Zhenyu Zhou, Theophilus Benson, Marco Canini, Balakrishnan Chandrasekaran:
Delorean: Using Time Travel to Avoid Bugs and Failures in SDN Applications. SOSR 2017: 199-200 - [i7]Thanh Dang Nguyen, Marco Chiesa, Marco Canini:
Decentralized Consistent Network Updates in SDN with ez-Segway. CoRR abs/1703.02149 (2017) - [i6]Arpit Gupta, Rob Harrison, Ankita Pawar, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger:
Sonata: Query-Driven Network Telemetry. CoRR abs/1705.01049 (2017) - [i5]Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid:
Renaissance: Self-Stabilizing Distributed SDN Control Plane. CoRR abs/1712.07697 (2017) - 2016
- [j5]Huynh Tu Dang, Marco Canini, Fernando Pedone, Robert Soulé:
Paxos Made Switch-y. Comput. Commun. Rev. 46(2): 18-24 (2016) - [j4]Marco Chiesa, Christoph Dietzel, Gianni Antichi, Marc Bruyere, Ignacio Castro, Mitch Gusat, Thomas King, Andrew W. Moore, Thanh Dang Nguyen, Philippe Owezarski, Steve Uhlig, Marco Canini:
Inter-domain networking innovation on steroids: empowering ixps with SDN capabilities. IEEE Commun. Mag. 54(10): 102-108 (2016) - [c37]Thanh Dang Nguyen, Marco Chiesa, Marco Canini:
Towards Decentralized Fast Consistent Updates. ANRW 2016: 19-25 - [c36]Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider:
Towards Securing Internet eXchange Points Against Curious onlooKers. ANRW 2016: 32-34 - [c35]Liron Schiff, Stefan Schmid, Marco Canini:
Ground Control to Major Faults: Towards a Fault Tolerant and Adaptive SDN Control Network. DSN Workshops 2016: 90-96 - [c34]Arpit Gupta, Rüdiger Birkner, Marco Canini, Nick Feamster, Chris Mac-Stoker, Walter Willinger:
Network Monitoring as a Streaming Analytics Problem. HotNets 2016: 106-112 - [c33]Yujie Liu, Yong Li, Marco Canini, Yue Wang, Jian Yuan:
Scheduling multi-flow network updates in Software-Defined NFV systems. INFOCOM Workshops 2016: 548-553 - [c32]Arpit Gupta, Robert MacDavid, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Laurent Vanbever:
An Industrial-Scale Software Defined Internet Exchange Point. NSDI 2016: 1-14 - [c31]Arpit Gupta, Robert MacDavid, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Laurent Vanbever:
An Industrial-Scale Software Defined Internet Exchange Point. USENIX ATC 2016 - [i4]Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé:
Network Hardware-Accelerated Consensus. CoRR abs/1605.05619 (2016) - 2015
- [j3]Peter Peresíni, Maciej Kuzniar, Marco Canini, Daniele Venzano, Dejan Kostic, Jennifer Rexford:
Systematically testing OpenFlow controller applications. Comput. Networks 92: 270-286 (2015) - [c30]Marco Canini, Petr Kuznetsov, Dan Levin, Stefan Schmid:
A distributed and robust SDN control plane for transactional network updates. INFOCOM 2015: 190-198 - [c29]P. Lalith Suresh, Marco Canini, Stefan Schmid, Anja Feldmann:
C3: Cutting Tail Latency in Cloud Data Stores via Adaptive Replica Selection. NSDI 2015: 513-527 - [c28]Waleed Reda, P. Lalith Suresh, Marco Canini, Sean Braithwaite:
BRB: BetteR Batch Scheduling to Reduce Tail Latencies in Cloud Data Stores. SIGCOMM 2015: 607-608 - [c27]Huynh Tu Dang, Daniele Sciascia, Marco Canini, Fernando Pedone, Robert Soulé:
NetPaxos: consensus at network speed. SOSR 2015: 5:1-5:7 - [i3]Huynh Tu Dang, Marco Canini, Fernando Pedone, Robert Soulé:
Paxos Made Switch-y. CoRR abs/1511.04985 (2015) - 2014
- [j2]Marco Canini, Anja Feldmann, Dan Levin, Fabian Schaffert, Stefan Schmid:
Software-Defined Networks: Incremental Deployment with Panopticon. Computer 47(11): 56-60 (2014) - [c26]