Ontology-based resource management for cloud computing
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Program Ultra-Dispatcher for launching applications in a customization manner on cloud computing
Journal of Network and Computer Applications
User-centric infrastructure as a service by Cloud Agency
Multiagent and Grid Systems
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Resource management is one of the main issues in Cloud Computing. In order to improve resource utilization of large Data Centers while delivering services with higher QoS to Cloud Clients, a resource allocation strategy based on market (RAS-M) is proposed. Firstly, the architecture and the market model of RAS-M are constructed, in which a QoS-refection utility function is designed according to different resource requirements of the Cloud Client, the equilibrium state of RAS-M is defined and the proof of its optimality is given. Secondly, GA-based price adjusted algorithm is introduced to deal with the problem of achieving the equilibrium state of RAS-M. Finally, RAS-M is implemented upon Xen to reallocate the VM’s weight. Experiments results obtained by setting different parameters show that RAS-M can achieve the equilibrium state approximately, that is, demand and supply is balanced nearly, which validates RAS-M is effective and practicable, and is capable of achieving its goal.