Distribution and scheduling method and system for virtual resources

Abstract

The invention discloses a distribution and scheduling method and system for virtual resources. The distribution and scheduling method for the virtual resources is applied to multiple cloud environments and comprises the steps that (a) cloud environment parameters of each cloud environment are monitored and acquired; and (b) a resource request is acquired, a distribution and scheduling decision for the virtual resources is formed according to the cloud environment parameters and the resource request, and the resource request is distributed to the cloud environment meeting the resource request. The distribution and scheduling system for the virtual resources comprises a monitoring and data acquisition unit, an analysis and assessment unit and a scheduling management unit. Through the distribution and scheduling method and system, when a certain cloud environment has insufficient resources, a new resource request can be automatically deployed to other cloud environments with sufficient resources, the optimal cloud environment can also be obtained through automatic adaptation according to a resource request of a user, and a virtual product with best cost performance can be provided for the user.

Description

Technical field [0001] The invention relates to a virtualized resource aggregation technology, in particular to a virtualized resource allocation and scheduling method and system. Background technique [0002] In the field of cloud computing, the introduction of virtualization and utility computing has brought more opportunities to the application and development of cloud computing, while also posing more and higher challenges. Due to the diversity and richness of software, hardware, and network applications in cloud computing, the real-time dynamic variability of network application loads, and the limitations of manual management of complex systems, new problems are brought to the control and management of virtualized cloud computing. [0003] However, there is currently no comprehensive performance evaluation mechanism for multiple cloud environments in this field, and it is impossible to uniformly allocate resources to virtual machines (resource instances) among multiple cloud e...

AI Technical Summary

Problems solved by technology

Due to the diversity and richness of software, hardware and network applications in cloud computing, the real-time dynamic changes in the load of network applications, and the limitations of manual management of complex systems, new problems have been brought to the control and management of virtualized cloud computing.

[0003] At present, there is no mechanism for comprehensive performance evaluation of multiple cloud environments in this field, and it is impossible to uniformly allocate resources to virtual machines (resource instances) among multiple cloud environments according to the actual operating performance and resource usage of the cloud environments and scheduling decisions, these have become a major factor restricting the development of computing systems

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