Advanced

Control strategies for predictable brownouts in cloud computing

Maggio, Martina LU ; Klein, Cristian and Årzén, Karl-Erik LU (2014) 19th IFAC World Congress, 2014
Abstract
Cloud computing is an application hosting model providing the illusion of infinite computing power. However, even the largest datacenters have finite computing capacity, thus cloud infrastructures have experienced overload due to overbooking or transient failures.



The topic of this paper is the comparison of different control strategies to mitigate overload for datacenters, that assume that the running cloud applications are cooperative and help the infrastructure in recovering from critical events. Specifically, the paper investigates the behavior of different controllers when they have to keep the average response time of a cloud application below a certain threshold by acting on the probability of serving requests... (More)
Cloud computing is an application hosting model providing the illusion of infinite computing power. However, even the largest datacenters have finite computing capacity, thus cloud infrastructures have experienced overload due to overbooking or transient failures.



The topic of this paper is the comparison of different control strategies to mitigate overload for datacenters, that assume that the running cloud applications are cooperative and help the infrastructure in recovering from critical events. Specifically, the paper investigates the behavior of different controllers when they have to keep the average response time of a cloud application below a certain threshold by acting on the probability of serving requests with optional computations disabled, where the pressure exerted by each request on the infrastructure is diminished, at the expense of user experience. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
in press
subject
conference name
19th IFAC World Congress, 2014
language
English
LU publication?
yes
id
21587335-c44b-45d3-8b40-22381bd5b04d (old id 4465863)
date added to LUP
2014-06-16 12:37:22
date last changed
2016-06-27 12:58:35
@misc{21587335-c44b-45d3-8b40-22381bd5b04d,
  abstract     = {Cloud computing is an application hosting model providing the illusion of infinite computing power. However, even the largest datacenters have finite computing capacity, thus cloud infrastructures have experienced overload due to overbooking or transient failures.<br/><br>
<br/><br>
The topic of this paper is the comparison of different control strategies to mitigate overload for datacenters, that assume that the running cloud applications are cooperative and help the infrastructure in recovering from critical events. Specifically, the paper investigates the behavior of different controllers when they have to keep the average response time of a cloud application below a certain threshold by acting on the probability of serving requests with optional computations disabled, where the pressure exerted by each request on the infrastructure is diminished, at the expense of user experience.},
  author       = {Maggio, Martina and Klein, Cristian and Årzén, Karl-Erik},
  language     = {eng},
  title        = {Control strategies for predictable brownouts in cloud computing},
  year         = {2014},
}