Projects per year
Abstract
In this paper, we present a novel Multi-Objective Ant Colony System algorithm to optimize Cost, Performance, and Reliability (MOACS-CoPeR) in the cloud. The proposed algorithm provides a metaheuristic-based approach for the multi-objective cloud-based software component deployment problem. MOACS-CoPeR explores the search-space of architecture design alternatives with respect to several architectural degrees of freedom and produces a set of Pareto-optimal deployment configurations. We also present a Java-based implementation of our proposed algorithm and compare its results with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). We evaluate the two algorithms against a cloud-based storage service, which is loosely based on a real system.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | 8th IEEE/ACM International Conference on Utility and Cloud Computing |
| Editors | Omer Rana, Manish Parashar |
| Publisher | ACM |
| Pages | 341–347 |
| ISBN (Print) | 978-1-4503-3890-5 |
| DOIs | |
| Publication status | Published - 2015 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE/ACM International Conference on Utility and Cloud Computing - 8th IEEE/ACM International Conference on Utility and Cloud Computing Duration: 7 Dec 2015 → 10 Dec 2015 |
Conference
| Conference | IEEE/ACM International Conference on Utility and Cloud Computing |
|---|---|
| Period | 07/12/15 → 10/12/15 |
Keywords
- Cloud computing
- Multi-objective optimization
- Software component deployment
- ant colony optimization (ACO)
Projects
- 1 Finished
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N4S: Need for Speed
Porres Paltor, I. (Principal Investigator), Nybom, K. (Co-Investigator), Truscan, D. (Co-Investigator), Ashraf, A. (Co-Investigator), Troubitsyna, E. (Co-Investigator), Byholm, B. (Co-Investigator), Rauf, I. M. (Co-Investigator) & Ahmad, T. (Co-Investigator)
01/01/14 → 31/12/16
Project: Industry/Business Finland