Feedback for increased robustness of forwarding graphs in the cloud

Victor Millnert; Johan Eker; Enrico Bini

doi:10.1016/j.sysarc.2017.09.005

Feedback for increased robustness of forwarding graphs in the cloud

Victor Millnert, Johan Eker, Enrico Bini

Research output: Contribution to journal › Article › peer-review

Abstract

Cloud computing technology provides the means to share physical resources among multiple users and data center tenants by exposing them as virtual resources. There is a strong industrial drive to use similar technology and concepts to provide timing sensitive services. One such domain is a chain of connected virtual network functions. This allows the capacity of each function to be scaled up and down by adding or removing virtual resources. In this work, we develop a model of such service chain and pose the dynamic allocation of resources as an optimization problem. We design and present a set of strategies to allow virtual network nodes to be controlled in an optimal fashion subject to latency and buffer constraints. Furthermore, we derive a feedback-law for dynamically adjusting the amount of resources given to each functions in order to ensure that the system remains in the desired state even if there are modeling errors or for a stochastic input.

Original language	English
Pages (from-to)	68-76
Journal	Journal of Systems Architecture
Volume	80
Issue number	1383-7621
DOIs	https://doi.org/10.1016/j.sysarc.2017.09.005
Publication status	Published - 2017

Subject classification (UKÄ)

Control Engineering

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10.1016/j.sysarc.2017.09.005

Cite this

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title = "Feedback for increased robustness of forwarding graphs in the cloud",

abstract = "Cloud computing technology provides the means to share physical resources among multiple users and data center tenants by exposing them as virtual resources. There is a strong industrial drive to use similar technology and concepts to provide timing sensitive services. One such domain is a chain of connected virtual network functions. This allows the capacity of each function to be scaled up and down by adding or removing virtual resources. In this work, we develop a model of such service chain and pose the dynamic allocation of resources as an optimization problem. We design and present a set of strategies to allow virtual network nodes to be controlled in an optimal fashion subject to latency and buffer constraints. Furthermore, we derive a feedback-law for dynamically adjusting the amount of resources given to each functions in order to ensure that the system remains in the desired state even if there are modeling errors or for a stochastic input.",

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AU - Bini, Enrico

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AB - Cloud computing technology provides the means to share physical resources among multiple users and data center tenants by exposing them as virtual resources. There is a strong industrial drive to use similar technology and concepts to provide timing sensitive services. One such domain is a chain of connected virtual network functions. This allows the capacity of each function to be scaled up and down by adding or removing virtual resources. In this work, we develop a model of such service chain and pose the dynamic allocation of resources as an optimization problem. We design and present a set of strategies to allow virtual network nodes to be controlled in an optimal fashion subject to latency and buffer constraints. Furthermore, we derive a feedback-law for dynamically adjusting the amount of resources given to each functions in order to ensure that the system remains in the desired state even if there are modeling errors or for a stochastic input.

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EP - 76

JO - Journal of Systems Architecture

JF - Journal of Systems Architecture

IS - 1383-7621

ER -

Feedback for increased robustness of forwarding graphs in the cloud

Abstract

Subject classification (UKÄ)

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Fingerprint

WASP: Autonomous Cloud

Feedback Computing in Cyber-Physical Systems

LCCC

Cite this

Feedback for increased robustness of forwarding graphs in the cloud

Abstract

Subject classification (UKÄ)

Access to Document

Other files and links

Fingerprint

Projects

WASP: Autonomous Cloud

Feedback Computing in Cyber-Physical Systems

LCCC

Cite this