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Policy- based storage virtualization, resource scheduling system key technology research and implementation

Author: TangXi
Tutor: Zuo
School: University of Electronic Science and Technology
Course: Computer Software and Theory
Keywords: Cloud Computing Virtualization Resource Scheduling Task scheduling
CLC: TP3
Type: Master's thesis
Year: 2011
Downloads: 132
Quote: 0
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Abstract


Cloud computing is an emerging method of shared infrastructure , the system can be a huge resource pool connected together to provide a variety of IT services. \Cloud computing resource scheduling in relatively still in the initial period of development in this area is not much more mature system . Resource scheduling system is implemented on a cloud platform dynamic , high-speed , highly efficient , highly scalable scheduling technology. System implemented this project manager and scheduler using integrated design approach . Management is responsible for managing the cloud platform resources ( physical servers , virtual machines , storage, and network resources, etc. ) and is responsible for allocating virtual resources. The scheduler is responsible for managing the virtual machine is running , according to a balanced distribution strategy of the task assigned to these running quickly on execution. By integrating both the manager scheduler task according to the size of the amount of dynamic allocation and release of virtual machine resources . The specific content of this research are: First, policy- based storage virtualization, resource scheduling and use . There are many scheduling mechanism , the subject of specific conditions depending on the platform , developed a strategy based warehouse resource scheduling mechanism to ensure that the entire platform rapid rational allocation of resources . Second virtualized resource scheduling system implementation , including the main frame , models and technology. Reconstruction and infrastructure virtualization , virtual resources to build a cluster , the scheduling system implementation . These aspects of the project will conduct in-depth study to compare the advantages and disadvantages of existing techniques , and finally build virtualized resource scheduling system.

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