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:
https://lup.lub.lu.se/record/7b57cf1b-1f66-4896-ae9a-a0e01777248f
- author
- Millnert, Victor
LU
; Eker, Johan
LU
and Bini, Enrico
- organization
- publishing date
- 2017
- 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
- project
- Feedback Computing in Cyber-Physical Systems
- WASP: Autonomous Cloud
- language
- English
- LU publication?
- yes
- id
- 7b57cf1b-1f66-4896-ae9a-a0e01777248f
- date added to LUP
- 2017-09-25 12:13:26
- date last changed
- 2024-03-17 21:18:06
@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}},
doi = {{10.1016/j.sysarc.2017.09.005}},
volume = {{80}},
year = {{2017}},
}