Media Summary: Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations Wei ... Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dong-Jin Shin, and Byung-Gon Chun, Seoul National University ... Junaid Khalid and Aditya Akella, University of Wisconsin - Madison Network functions virtualization (NFV) allows operators to ...

Nsdi 19 Preview Sessions - Detailed Analysis & Overview

Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations Wei ... Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dong-Jin Shin, and Byung-Gon Chun, Seoul National University ... Junaid Khalid and Aditya Akella, University of Wisconsin - Madison Network functions virtualization (NFV) allows operators to ... Seo Jin Park and John Ousterhout, Stanford University Traditional approaches to replication require client requests to be ordered ... Carlo Curino, Microsoft Microsoft's internal data lake processes exabytes of data over millions of cores daily on behalf of ... Qifan Pu, UC Berkeley; Shivaram Venkataraman, University of Wisconsin, Madison; Ion Stoica, UC Berkeley Serverless ...

Noa Zilberman, University of Cambridge; Gabi Bracha and Golan Schzukin, Broadcom Building scalable data centers, and ... Shizhen Zhao, Google, Inc. Clos topologies have been widely adopted for large-scale data center networks (DCNs), but it has ... Da Yu, Brown University Distributed, in-network packet capture is still the last resort for diagnosing network problems. Despite ... Brent Stephens, UIC; Aditya Akella and Michael Swift, UW-Madison In multi-tenant cloud data centers, operators need to ensure ... Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ... Soo-Jin Moon, Carnegie Mellon University Network operators today deploy a wide range of complex stateful network functions ...

Jiaping Wang, ICT/CAS, Sinovation Ventures; Hao Wang, Ohio State University Cryptocurrencies have provided a promising ... Thomas Holterbach, Edgar Costa Molero, and Maria Apostolaki, ETH Zurich; Alberto Dainotti, CAIDA / UC San Diego; Stefano ... Anurag Khandelwal, UC Berkeley; Rachit Agarwal, Cornell University; Ion Stoica, UC Berkeley Confluo is an end-host stack that ... Rishabh Iyer, Luis Pedrosa, Arseniy Zaostrovnykh, Solal Pirelli, Katerina Argyraki, and George Candea, EPFL Software network ... Mehrdad Hessar, Ali Najafi, and Shyamnath Gollakota, University of Washington We present the first wireless protocol that scales ...

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NSDI '19 - Preview Sessions
NSDI '19 - Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World...
NSDI '19 - JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative
NSDI '19 - Correctness and Performance for Stateful Chained Network Functions
NSDI '19 - Exploiting Commutativity For Practical Fast Replication
NSDI '19 - Hydra: a federated resource manager for data-center scale analytics
NSDI '19 - Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure
NSDI '19 - Stardust: Divide and Conquer in the Data Center Network
NSDI '19 - Minimal Rewiring: Efficient Live Expansion for Clos Data Center Networks
NSDI '19 - dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network
NSDI '19 - Loom: Flexible and Efficient NIC Packet Scheduling
NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions
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NSDI '19 - Preview Sessions

NSDI '19 - Preview Sessions

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NSDI '19 - Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World...

NSDI '19 - Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World...

Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations Wei ...

NSDI '19 - JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative

NSDI '19 - JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative

Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dong-Jin Shin, and Byung-Gon Chun, Seoul National University ...

NSDI '19 - Correctness and Performance for Stateful Chained Network Functions

NSDI '19 - Correctness and Performance for Stateful Chained Network Functions

Junaid Khalid and Aditya Akella, University of Wisconsin - Madison Network functions virtualization (NFV) allows operators to ...

NSDI '19 - Exploiting Commutativity For Practical Fast Replication

NSDI '19 - Exploiting Commutativity For Practical Fast Replication

Seo Jin Park and John Ousterhout, Stanford University Traditional approaches to replication require client requests to be ordered ...

NSDI '19 - Hydra: a federated resource manager for data-center scale analytics

NSDI '19 - Hydra: a federated resource manager for data-center scale analytics

Carlo Curino, Microsoft Microsoft's internal data lake processes exabytes of data over millions of cores daily on behalf of ...

NSDI '19 - Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure

NSDI '19 - Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure

Qifan Pu, UC Berkeley; Shivaram Venkataraman, University of Wisconsin, Madison; Ion Stoica, UC Berkeley Serverless ...

NSDI '19 - Stardust: Divide and Conquer in the Data Center Network

NSDI '19 - Stardust: Divide and Conquer in the Data Center Network

Noa Zilberman, University of Cambridge; Gabi Bracha and Golan Schzukin, Broadcom Building scalable data centers, and ...

NSDI '19 - Minimal Rewiring: Efficient Live Expansion for Clos Data Center Networks

NSDI '19 - Minimal Rewiring: Efficient Live Expansion for Clos Data Center Networks

Shizhen Zhao, Google, Inc. Clos topologies have been widely adopted for large-scale data center networks (DCNs), but it has ...

NSDI '19 - dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network

NSDI '19 - dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network

Da Yu, Brown University Distributed, in-network packet capture is still the last resort for diagnosing network problems. Despite ...

NSDI '19 - Loom: Flexible and Efficient NIC Packet Scheduling

NSDI '19 - Loom: Flexible and Efficient NIC Packet Scheduling

Brent Stephens, UIC; Aditya Akella and Michael Swift, UW-Madison In multi-tenant cloud data centers, operators need to ensure ...

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ...

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions

Soo-Jin Moon, Carnegie Mellon University Network operators today deploy a wide range of complex stateful network functions ...

NSDI '19 - Monoxide: Scale out Blockchains with Asynchronous Consensus Zones

NSDI '19 - Monoxide: Scale out Blockchains with Asynchronous Consensus Zones

Jiaping Wang, ICT/CAS, Sinovation Ventures; Hao Wang, Ohio State University Cryptocurrencies have provided a promising ...

NSDI '19 - Blink: Fast Connectivity Recovery Entirely in the Data Plane

NSDI '19 - Blink: Fast Connectivity Recovery Entirely in the Data Plane

Thomas Holterbach, Edgar Costa Molero, and Maria Apostolaki, ETH Zurich; Alberto Dainotti, CAIDA / UC San Diego; Stefano ...

NSDI '19 - Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks

NSDI '19 - Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks

Anurag Khandelwal, UC Berkeley; Rachit Agarwal, Cornell University; Ion Stoica, UC Berkeley Confluo is an end-host stack that ...

NSDI '22 - Performance Interfaces for Network Functions

NSDI '22 - Performance Interfaces for Network Functions

NSDI

NSDI '19 - Performance Contracts for Software Network Functions

NSDI '19 - Performance Contracts for Software Network Functions

Rishabh Iyer, Luis Pedrosa, Arseniy Zaostrovnykh, Solal Pirelli, Katerina Argyraki, and George Candea, EPFL Software network ...

NSDI '19 - NetScatter: Enabling Large-Scale Backscatter Networks

NSDI '19 - NetScatter: Enabling Large-Scale Backscatter Networks

Mehrdad Hessar, Ali Najafi, and Shyamnath Gollakota, University of Washington We present the first wireless protocol that scales ...