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Feature placement algorithms for high-variability applications in cloud environments

Hendrik Moens UGent, Eddy Truyen, Stefan Walraven, Wouter Joosen, Bart Dhoedt UGent and Filip De Turck UGent (2012) IEEE IFIP Network Operations and Management Symposium. p.17-24
abstract
While the use of cloud computing is on the rise, many obstacles to its adoption remain. One of the weaknesses of current cloud offerings is the difficulty of developing highly customizable applications while retaining the increased scalability and lower cost offered by the multi-tenant nature of cloud applications. In this paper we describe a Software Product Line Engineering (SPLE) approach to the modelling and deployment of customizable Software as a Service (SaaS) applications. Afterwards we define a formal feature placement problem to manage these applications, and compare several heuristic approaches to solve the problem. The scalability and performance of the algorithms is investigated in detail. Our experiments show that the heuristics scale and perform well for systems with a reasonable load.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
IBCN
in
IEEE IFIP Network Operations and Management Symposium
editor
Filip De Turck UGent, Luciano Paschoal Gaspary and Deep Medhi
issue title
2012 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS)
pages
17 - 24
publisher
IEEE
place of publication
New York, NY, USA
conference name
13th IEEE/IFIP Network Operations and Management Symposium (NOMS - 2012)
conference location
Maui, Hawaii
conference start
2012-04-16
conference end
2012-04-20
Web of Science type
Proceedings Paper
Web of Science id
000309517000003
ISSN
1542-1201
ISBN
9781467302685
project
HPC-UGent: the central High Performance Computing infrastructure of Ghent University
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2914389
handle
http://hdl.handle.net/1854/LU-2914389
date created
2012-06-21 11:19:27
date last changed
2013-09-17 10:50:43
@inproceedings{2914389,
  abstract     = {While the use of cloud computing is on the rise, many obstacles to its adoption remain. One of the weaknesses of current cloud offerings is the difficulty of developing highly customizable applications while retaining the increased scalability and lower cost offered by the multi-tenant nature of cloud applications. In this paper we describe a Software Product Line Engineering (SPLE) approach to the modelling and deployment of customizable Software as a Service (SaaS) applications. Afterwards we define a formal feature placement problem to manage these applications, and compare several heuristic approaches to solve the problem. The scalability and performance of the algorithms is investigated in detail. Our experiments show that the heuristics scale and perform well for systems with a reasonable load.},
  author       = {Moens, Hendrik and Truyen, Eddy and Walraven, Stefan and Joosen, Wouter and Dhoedt, Bart and De Turck, Filip},
  booktitle    = {IEEE IFIP Network Operations and Management Symposium},
  editor       = {De Turck, Filip and Paschoal Gaspary, Luciano and Medhi, Deep},
  isbn         = {9781467302685},
  issn         = {1542-1201},
  keyword      = {IBCN},
  language     = {eng},
  location     = {Maui, Hawaii},
  pages        = {17--24},
  publisher    = {IEEE},
  title        = {Feature placement algorithms for high-variability applications in cloud environments},
  year         = {2012},
}

Chicago
Moens, Hendrik, Eddy Truyen, Stefan Walraven, Wouter Joosen, Bart Dhoedt, and Filip De Turck. 2012. “Feature Placement Algorithms for High-variability Applications in Cloud Environments.” In IEEE IFIP Network Operations and Management Symposium, ed. Filip De Turck, Luciano Paschoal Gaspary, and Deep Medhi, 17–24. New York, NY, USA: IEEE.
APA
Moens, H., Truyen, E., Walraven, S., Joosen, W., Dhoedt, B., & De Turck, F. (2012). Feature placement algorithms for high-variability applications in cloud environments. In Filip De Turck, L. Paschoal Gaspary, & D. Medhi (Eds.), IEEE IFIP Network Operations and Management Symposium (pp. 17–24). Presented at the 13th IEEE/IFIP Network Operations and Management Symposium (NOMS - 2012), New York, NY, USA: IEEE.
Vancouver
1.
Moens H, Truyen E, Walraven S, Joosen W, Dhoedt B, De Turck F. Feature placement algorithms for high-variability applications in cloud environments. In: De Turck F, Paschoal Gaspary L, Medhi D, editors. IEEE IFIP Network Operations and Management Symposium. New York, NY, USA: IEEE; 2012. p. 17–24.
MLA
Moens, Hendrik, Eddy Truyen, Stefan Walraven, et al. “Feature Placement Algorithms for High-variability Applications in Cloud Environments.” IEEE IFIP Network Operations and Management Symposium. Ed. Filip De Turck, Luciano Paschoal Gaspary, & Deep Medhi. New York, NY, USA: IEEE, 2012. 17–24. Print.