On Pricing Strategy Analysis for Amazon Spot Cloud Service
LI Xue-fei1,LI Zheng2,ZHANG He1,RONG Guo-ping1
1(Institute of Software Engineering,Nanjing University,Nanjing 210046,China)2(Department of Electrical and Information Technology,Lund University,Lund 22363,Sweden)
Abstract：In the rapid development of mobile Internet nowadays,Cloud services provide lots of Cloud resources which are easy to use.In particular,demand for utilizing Cloud services has grown by companies and research institutions,after the concept of “Internet+” in China was brought forward,and a series of policies were implemented to encourage entrepreneurship.Amazon is a competitive provider in the Cloud computing market,and Spot Instances(SIs)of AWS is a competitive option for public Cloud users for a lower price.Therefore,the research on the pricing model can help Cloud service providers to improve their pricing mechanism and obtain more profits,as well as helping Cloud users to choose Instance.This study is built on the Amazon Spot Instance.We mainly clean up the mixed dataset for Amazon Spot Instance,and finish the visualization and data statistics of the spot price.After pre-processing,inputting data to the KNN classifier and k-means clustering algorithm,getting the basic classification result,we compare the two kind of methods and use the Boosting approach to vote for the best answer.In addition,We propose a method to fill the time set,which helps to improve the accuracy of classification in order to find out the most typical price trace.In the future,this study will do statistical analysis,modeling,and extraction of common features of price trade,to speculate pricing mechanism.
2019, Vol. 40 
