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Feedback for increased robustness of forwarding graphs in the cloud

Millnert, Victor LU ; Eker, Johan LU and Bini, Enrico (2017) In Journal of Systems Architecture 80(1383-7621). p.68-76
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Systems Architecture
volume
80
issue
1383-7621
pages
68 - 76
publisher
Elsevier
external identifiers
  • scopus:85030834824
  • wos:000413883100006
ISSN
1383-7621
DOI
10.1016/j.sysarc.2017.09.005
language
English
LU publication?
yes
id
7b57cf1b-1f66-4896-ae9a-a0e01777248f
date added to LUP
2017-09-25 12:13:26
date last changed
2018-01-16 13:26:17
@article{7b57cf1b-1f66-4896-ae9a-a0e01777248f,
  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.},
  author       = {Millnert, Victor and Eker, Johan and Bini, Enrico},
  issn         = {1383-7621},
  language     = {eng},
  number       = {1383-7621},
  pages        = {68--76},
  publisher    = {Elsevier},
  series       = {Journal of Systems Architecture},
  title        = {Feedback for increased robustness of forwarding graphs in the cloud},
  url          = {http://dx.doi.org/10.1016/j.sysarc.2017.09.005},
  volume       = {80},
  year         = {2017},
}