Scheduling method and device for batched virtual machines

Abstract

The embodiment of the invention discloses a scheduling method and a device for batched virtual machines. The method comprises the steps that the number of to-be-deployed batched virtual machines submitted by a user is obtained, and a configuration file of the batched virtual machines is obtained; the configuration file of the batched virtual machines includes the memory and hard-drive size required by each virtual machine; the configuration file of the batched virtual machines is used as the filtering condition, physical servers which do not accord with the filtering condition are filtered out from a physical server pool, and a candidate server set is obtained accordingly; the initial scheduling overhead values of the candidate physical servers are computed according to the virtual machine scheduling parameters of the candidate physical servers in the candidate physical server set; and the scheduling of the virtual machines is realized according to the initial scheduling overhead values. With the embodiment of the invention, the deployment time efficiency on the scheduling of the virtual machines is improved.

Description

technical field [0001] The present application relates to the field of cloud computing, and in particular to a method and device for scheduling batches of virtual machines in a cloud computing system. Background technique [0002] Cloud computing is the growth, usage, and delivery model of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized resources over the Internet. In the cloud computing system, the dispatching system distributes the requests for batch deployment of virtual machines to the corresponding physical servers. A large number of idle server resources; secondly, combined with specific user needs and application scenarios, for example, high-intensity computing type virtual machines should be deployed on physical servers with relatively low CPU usage; finally, it should be ensured that batches of virtual machines are deployed in parallel High reliability, so that the deployment tasks are distributed to di...

AI Technical Summary

Problems solved by technology

If M virtual machines need to be deployed, and there are N servers in the server pool, the minimum time complexity of scheduling at this time is O(M*N), which is a relatively large time complexity when the number of physical servers in the physical server pool is large. time overhead

In the second stage, although the load of the server pool can be dynamically balanced through hot migration, and the user will not be affected by the drift of the underlying virtual machine during the use of the virtual machine, the disadvantage of the hot migration is that during the migration process, a large number of Occupies bandwidth and affects the network transmission of other applications for a period of time

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