Key Summary: Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ... Shinae Woo, KAIST, UC Berkeley Elastic scaling is a central promise of NFV but has been hard to realize in practice.

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Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ... Shinae Woo, KAIST, UC Berkeley Elastic scaling is a central promise of NFV but has been hard to realize in practice.

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  • Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; ...
  • Shinae Woo, KAIST, UC Berkeley Elastic scaling is a central promise of NFV but has been hard to realize in practice.

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Topic Images

NSDI '23 - Disaggregating Stateful Network Functions
NSDI '23 - A High-Speed Stateful Packet Processing Approach for Tbps Programmable Switches
NSDI '19 - Correctness and Performance for Stateful Chained Network Functions
NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions
NSDI '23 - Understanding the impact of host networking elements on traffic bursts
NSDI '23 - Invisinets: Removing Networking from Cloud Networks
NDSI '18 - Elastic Scaling of Stateful Network Functions
NSDI '24 - Empower Programmable Pipeline for Advanced Stateful Packet Processing
NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions
NSDI '22 - Performance Interfaces for Network Functions
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NSDI '23 - Disaggregating Stateful Network Functions

NSDI '23 - Disaggregating Stateful Network Functions

Read more details and related context about NSDI '23 - Disaggregating Stateful Network Functions.

NSDI '23 - A High-Speed Stateful Packet Processing Approach for Tbps Programmable Switches

NSDI '23 - A High-Speed Stateful Packet Processing Approach for Tbps Programmable Switches

Read more details and related context about NSDI '23 - A High-Speed Stateful Packet Processing Approach for Tbps Programmable Switches.

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

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 '23 - Understanding the impact of host networking elements on traffic bursts

NSDI '23 - Understanding the impact of host networking elements on traffic bursts

Read more details and related context about NSDI '23 - Understanding the impact of host networking elements on traffic bursts.

NSDI '23 - Invisinets: Removing Networking from Cloud Networks

NSDI '23 - Invisinets: Removing Networking from Cloud Networks

Read more details and related context about NSDI '23 - Invisinets: Removing Networking from Cloud Networks.

NDSI '18 - Elastic Scaling of Stateful Network Functions

NDSI '18 - Elastic Scaling of Stateful Network Functions

Shinae Woo, KAIST, UC Berkeley Elastic scaling is a central promise of NFV but has been hard to realize in practice. The difficulty ...

NSDI '24 - Empower Programmable Pipeline for Advanced Stateful Packet Processing

NSDI '24 - Empower Programmable Pipeline for Advanced Stateful Packet Processing

Read more details and related context about NSDI '24 - Empower Programmable Pipeline for Advanced Stateful Packet Processing.

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

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

Read more details and related context about NSDI '19 - Alembic: Automated Model Inference for Stateful Network Functions.

NSDI '22 - Performance Interfaces for Network Functions

NSDI '22 - Performance Interfaces for Network Functions

Read more details and related context about NSDI '22 - Performance Interfaces for Network Functions.