Proceedings of the 32nd conference on Winter simulation
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Communications of the ACM
Ant system for service deployment in private and public clouds
Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed systems
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Cost-Optimal Outsourcing of Applications into the Clouds
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Cloud computing - The business perspective
Decision Support Systems
Evolutionary deployment optimization for service-oriented clouds
Software—Practice & Experience
Knowledge Discovery Metamodel-ISO/IEC 19506: A standard to modernize legacy systems
Computer Standards & Interfaces
Opt4J: a modular framework for meta-heuristic optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
CCGRID '11 Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
An Extensible Framework for Improving a Distributed Software System's Deployment Architecture
IEEE Transactions on Software Engineering
Kieker: a framework for application performance monitoring and dynamic software analysis
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
IEEE Transactions on Evolutionary Computation
Composite SaaS Placement and Resource Optimization in Cloud Computing Using Evolutionary Algorithms
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
ESOCC'12 Proceedings of the First European conference on Service-Oriented and Cloud Computing
Iterative test suites refinement for elastic computing systems
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
| Hi-index | 0.00 |
Migrating existing enterprise software to cloud platforms involves the comparison of competing cloud deployment options (CDOs). A CDO comprises a combination of a specific cloud environment, deployment architecture, and runtime reconfiguration rules for dynamic resource scaling. Our simulator CDOSim can evaluate CDOs, e.g., regarding response times and costs. However, the design space to be searched for well-suited solutions is extremely huge. In this paper, we approach this optimization problem with the novel genetic algorithm CDOXplorer. It uses techniques of the search-based software engineering field and CDOSim to assess the fitness of CDOs. An experimental evaluation that employs, among others, the cloud environments Amazon EC2 and Microsoft Windows Azure, shows that CDOXplorer can find solutions that surpass those of other state-of-the-art techniques by up to 60%. Our experiment code and data and an implementation of CDOXplorer are available as open source software.