Abstract
In order to unify the management and scheduling of cloud resources, cloud platforms use virtualization technology to re-integrate multiple computing resources in the cloud and build virtual units on physical machines to achieve dynamic provisioning of resources by configuring virtual units of various sizes. Therefore, how to reasonably determine the mapping relationship between virtual units and physical machines is an important research topic for cloud resource scheduling. In this paper, we propose a fair cloud virtual machine resource allocation method of using the stable matching theory. Our allocation method considers the allocation of resources from both user’s demand and cloud computing resource provider’s request. When multiple users apply for resources, firstly select a user by user priority, and then deal with this user’s task. Because the user priority is dynamic, so as to avoid a user’s long-term share of resources. This strategy makes user task scheduling is relatively fair. On the basis of weighing the fair allocation of user resources, the stable matching between physical machines and virtual machines is achieved. Our simulation experiments especially given that the main focus of the paper is not to develop a very novel algorithm, but to demonstrate our virtual machine resource allocation method, which effectively improves the average utilization rate of computing resources and reduces the operating costs of cloud providers.
Highlights
The continuous development of the Internet has led to a rapid increase in the number of netizens, increasingly diversified computing needs, and more and more computing resources
We propose a fair cloud virtual machine resource allocation method of using the stable matching theory
When multiple users apply for resources, firstly select a user by user priority, and deal with this user’s task
Summary
The continuous development of the Internet has led to a rapid increase in the number of netizens, increasingly diversified computing needs, and more and more computing resources. Due to the massive amount of resources, how middleware allocates resources to meet user needs, while reducing supplier costs to the greatest extent, and maximizing the reasonable allocation of resources is still a focus in the field of cloud computing research at home and abroad. As two different entities, the user and the supplier have different pursuit of interests, and the transaction can proceed normally only if their respective interests are guaranteed, otherwise the supplier will refuse to provide resources to the user, and the user will Choose other suppliers that are more beneficial to you In this emerging business service model, the resource allocation method needs to consider the interests of users and suppliers at the same time, so that cloud computing can continue to develop
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