Feature placement algorithms for high-variability applications in cloud environments

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 clo...

Full description

Saved in:
Bibliographic Details
Main Authors: Moens, H., Truyen, E., Walraven, S., Joosen, W., Dhoedt, B., De Turck, F.
Format: Conference Proceeding
Language:English
Subjects:
Clouds
Distributed computing
Equations
Hospitals
Mathematical model
Memory management
Random access memory
Servers
Software
SPLE
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1542-1201
2374-9709
DOI:10.1109/NOMS.2012.6211878