Towards virtual machine scheduling research based on multi-decision AHP method in the cloud computing platform.

ABSTRACT: Virtual machine scheduling and resource allocation mechanism in the process of dynamic virtual machine consolidation is a promising access to alleviate the cloud data centers of prominent energy consumption and service level agreement violations with improvement in quality of service (QoS). In this article, we propose an efficient algorithm (AESVMP) based on the Analytic Hierarchy Process (AHP) for the virtual machine scheduling in accordance with the measure. Firstly, we take into consideration three key criteria including the host of power consumption, available resource and resource allocation balance ratio, in which the ratio can be calculated by the balance value between overall three-dimensional resource (CPU, RAM, BW) flat surface and resource allocation flat surface (when new migra

SUBMITTER: Gu H 

PROVIDER: S-EPMC10703023 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature