A cost-minimizing resource allocation method for cloud systems based on deadlines

Abstract

The invention discloses a resource allocation method with minimized cloud system cost based on expiration date drive. The resource allocation method comprises the following steps of collecting an available resource of each physical node in a cloud system by a cloud server; collecting a task request of a user; finally allocating a virtual resource in the cloud system by adopting a harmony search method, i.e. initializing parameters of the harmony search method by the cloud server, generating a new solution of the harmony search method by the cloud server, determining an objective function value of the new solution, updating a solution vector in a harmony memory library, determining a solution with minimized cost in the harmony memory library and a cloud system cost value corresponding to the explanation with the minimized cost, repeatedly iterating to maximum iteration times and outputting an optimal harmony solution vector. According to the resource allocation method disclosed by the invention, the available resources in the cloud system are fully excavated; the resources are dynamically allocated from CPU (Central Processing Unit) resources, magnetic disk read-write speed resources and network wideband resources in a plurality of dimensionalities by using a virtual machine diversification technology; the technical support is provided for efficiently utilizing the resources in the cloud system and guaranteeing that tasks are finished within expiration dates.

Description

technical field [0001] The invention belongs to the technical field of computer networks, in particular to a resource allocation method based on deadline-driven cloud system cost minimization. Background technique [0002] Cloud computing has become an attractive technology in order to facilitate the use of virtual environment scheduling methods on the Internet. The typical feature of cloud computing is that it has a virtual resource pool, which includes hardware resources, platform resources, and service resources. All resources provided by the system should be under the payment model. The purpose of this is to prevent users from excessive demand for resources that they really need and to use resources reasonably. [0003] In the cloud system, the workload of each task of the user is multi-dimensional; the computing resources required by each task of the user are also multi-attributed, including CPU, disk read and write speed, and network bandwidth; therefore, the computin...

AI Technical Summary

Problems solved by technology

However, the above two methods do not consider the deadline for the completion of each task of the user, which cannot meet the user's demand for resource usage on time

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