Case study for running HPC applications in public clouds
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
An efficient broker cloud management system
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers
Future Generation Computer Systems
How a consumer can measure elasticity for cloud platforms
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Software rejuvenation in the cloud
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
A case for dual stack virtualization: consolidating HPC and commodity applications in the cloud
Proceedings of the Third ACM Symposium on Cloud Computing
On a Catalogue of Metrics for Evaluating Commercial Cloud Services
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
A cost effective cloud data centre capacity planning method based on modality cost analysis
International Journal of Communication Networks and Distributed Systems
Learning management systems and cloud file hosting services: A study on students' acceptance
Computers in Human Behavior
Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing
Journal of Intelligent Manufacturing
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Advanced computing on cloud computing infrastructures can only become viable alternative for the enterprise if these infrastructures can provide proper levels of nonfunctional properties (NPFs). A company that focuses on service-oriented architectures (SOA) needs to know what configuration would provide the proper levels for individual services if they are deployed in the cloud. In this paper we present an approach for performance evaluation of cloud computing configurations. While cloud computing providers assure certain service levels, this it typically done for the platform and not for a particular service instance. Our approach focuses on NFPs of individual services and thereby provides a more relevant and granular information. An experimental evaluation in Amazon Elastic Compute Cloud (EC2) verified our approach.