Virtual machine distributed task scheduling method under cloud calculating platform

Abstract

The invention discloses a virtual machine distributed task scheduling method under a cloud calculating platform. The method comprises the following steps: (1), in case of a downtime event of a physical server, migrating the load on the physical server to a normal physical server; (2), when the load of a certain physical server is quite high, under the condition of uninterrupted application, migrating a relatively high load to a physical server with a relatively low load; and (3), when the load of a certain physical server is quite low, under the condition of the uninterrupted application, migrating the load on the physical server to other physical servers, and performing dormancy or shutdown on idle physical servers. The method provided by the invention realizes diversity and flexibility of a scheduling mode; resource equalization scheduling is generally considered from a virtualization VCPU mapping mechanism so that online migration, high availability and load balancing of a virtual machine are realized; and electricity-saving scheduling is generally considered from the virtualization VCPU mapping mechanism so that the economic operation of the virtual machine is realized, and the energy conservation effect is achieved.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a virtual machine distributed task scheduling method under a cloud computing platform. Background technique [0002] At present, cloud computing, as an emerging business computing model, has become a research hotspot in academia and major IT manufacturers. Cloud computing is currently the most widely researched and applied distributed application system. It distributes computing power on a resource pool composed of a large number of servers, and users can obtain computing, storage and communication services on demand. In view of the singleness of the task model and the low performance of the task scheduling algorithm in the current research on the task scheduling problem of cloud computing virtual machines, and the situation that cannot take into account the QoS (Quality of Service) requirements of cloud computing, how to reasonably allocate Cloud resources, efficient virtual mach...

AI Technical Summary

Problems solved by technology

This scheduling mechanism for power saving has great disadvantages: because the instantaneous peak value and valley value are easy to cause misjudgment, and it takes a long time for the host to start and stop, usually more than ten minutes, frequent start and stop will consume ten times the usual energy consumption, not only does not save energy, but affects business operation

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