Perspectives on grid computing
Future Generation Computer Systems
Optimizing Resource Consumptions in Clouds
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Developing resource consolidation frameworks for moldable virtual machines in clouds
Future Generation Computer Systems
Data center selection based on neuro-fuzzy inference systems in cloud computing environments
The Journal of Supercomputing
| Hi-index | 0.00 |
In order to be profitable, service providers must be able to undertake complex management tasks such as provisioning, deployment, execution and adaptation in an autonomic way. This paper introduces a framework, the Semantically-Enhanced Resource Allocator (SERA), aimed to facilitate service provider management, reducing costs and at the same time fulfilling the QoS agreed with the customers. The SERA assigns resources depending on the information given by service providers according to its business goals and on the resource requirements of the tasks. Tasks and resources are semantically described and these descriptions are used to infer the resource assignments. Virtualization is used to provide a full-customized and isolated virtual environment for each task. In addition, the system supports fine-grain dynamic resource distribution among these virtual environments based on SLAs. The required adaptation is implemented using agents, guarantying to each task enough resources to meet the agreed performance goals.