VIRTUAL MACHINE ALLOCATION APPARATUS WITH CONDITIONAL PROBABILITY INFERENCE FOR TRANSPORT INFORMATION SERVICE IN CLOUD ENVIRONMENT AND METHOD THEREOF

摘要

PURPOSE: A virtual machine assigning apparatus and method based on a Naive Bayesian technique are provided to offer traffic information in the cloud computing environment by analyzing components and characteristics for a virtual machine assigning method in order to smoothly offer a traffic information service and increase availability and by assigning resources using a Naive Bayesian method for the condition state of each virtual machine. CONSTITUTION: A software service unit receives a service request for a traffic information service from a user. A platform service unit determines an application program related to the traffic information service according to the service request. An infra service unit determines a virtual machine for providing the traffic information service within a data center having the application program using a Naive Bayesian method which is a conditional probability deduction method. [Reference numerals] (AA) Start; (BB) End; (S610) Require a virtual machine; (S620) Group each virtual machine depending on the result achieved from each virtual machine; (S630) Calculate a conditional probability deduction about the condition of each virtual machine by using a Naive Bayesian method; (S640) Calculate posterior probability by using the Naive Bayesian method according to the calculation result of the conditional probability deduction and the ranking of the virtual machine; (S650) Determine a virtual machine depending on the rankings based on the calculated posterior probability