Brownout: Building More Robust Cloud Applications
Klein, Cristian ; Maggio, Martina LU ; Årzén, Karl-Erik LU
and Hernández-Rodriguez, Francisco
(2014)
36th International Conference on Software Engineering (ICSE)
- Abstract
- Self-adaptation is a first class concern for cloud applications, which should be able to withstand diverse runtime changes. Variations are simultaneously happening both at the cloud infrastructure level - for example hardware failures - and at the user workload level - flash crowds. However, robustly withstanding extreme variability, requires costly hardware over-provisioning.
In this paper, we introduce a self-adaptation programming paradigm called brownout. Using this paradigm, applications can be designed to robustly withstand unpredictable runtime variations, without over-provisioning. The paradigm is based on optional code that can be dynamically deactivated through decisions based on control theory.
... (More) - Self-adaptation is a first class concern for cloud applications, which should be able to withstand diverse runtime changes. Variations are simultaneously happening both at the cloud infrastructure level - for example hardware failures - and at the user workload level - flash crowds. However, robustly withstanding extreme variability, requires costly hardware over-provisioning.
In this paper, we introduce a self-adaptation programming paradigm called brownout. Using this paradigm, applications can be designed to robustly withstand unpredictable runtime variations, without over-provisioning. The paradigm is based on optional code that can be dynamically deactivated through decisions based on control theory.
We modified two popular web application prototypes - RUBiS and RUBBoS - with less than 170 lines of code, to make them brownout-compliant. Experiments show that brownout self-adaptation dramatically improves the ability to withstand flash-crowds and hardware failures. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4249333
- author
- Klein, Cristian
; Maggio, Martina
LU
; Årzén, Karl-Erik
LU
and Hernández-Rodriguez, Francisco
- organization
- publishing date
- 2014
- type
- Contribution to conference
- publication status
- in press
- subject
- conference name
- 36th International Conference on Software Engineering (ICSE)
- conference location
- Hyderabad, India
- conference dates
- 2014-05-31
- language
- English
- LU publication?
- yes
- additional info
- Accepted for publication at ICSE 2014.
- id
- 4163b4d5-60e1-4dea-8716-7aefc992b895 (old id 4249333)
- date added to LUP
- 2016-04-04 14:18:13
- date last changed
- 2019-04-30 11:16:23
@misc{4163b4d5-60e1-4dea-8716-7aefc992b895,
abstract = {{Self-adaptation is a first class concern for cloud applications, which should be able to withstand diverse runtime changes. Variations are simultaneously happening both at the cloud infrastructure level - for example hardware failures - and at the user workload level - flash crowds. However, robustly withstanding extreme variability, requires costly hardware over-provisioning.<br/><br>
<br/><br>
In this paper, we introduce a self-adaptation programming paradigm called brownout. Using this paradigm, applications can be designed to robustly withstand unpredictable runtime variations, without over-provisioning. The paradigm is based on optional code that can be dynamically deactivated through decisions based on control theory.<br/><br>
<br/><br>
We modified two popular web application prototypes - RUBiS and RUBBoS - with less than 170 lines of code, to make them brownout-compliant. Experiments show that brownout self-adaptation dramatically improves the ability to withstand flash-crowds and hardware failures.}},
author = {{Klein, Cristian and Maggio, Martina and Årzén, Karl-Erik and Hernández-Rodriguez, Francisco}},
language = {{eng}},
title = {{Brownout: Building More Robust Cloud Applications}},
year = {{2014}},
}