{"title":"Multicriteria Analysis for IaaS Cloud Providers Selection","authors":"L. R. Rodrigues, G. Koslovski, O. C. A. Junior","doi":"10.1145/3229345.3229361","DOIUrl":null,"url":null,"abstract":"Because of the variety of IaaS cloud providers, the available information to the clients becomes confusing. Likewise, due the lacking uniformity of provided services and data representation, the combination of diversified rate, the complexity of the settings, the uncertainty about settings and necessary resources result on a challenge in target provider selection. To attenuate the problem, on the present project the multicriteria method is used to analyze the hierarchy process, optimizing the decision-making process. From experimental results, based on genuine administrators' opinions, it is noticed that clients have trouble in the selection of the provider, showing a latent necessity of tools that automate and simplify decision-making. Mainly, the proposed mechanism, not only optimizes the providers selection of IaaS clouds, but also makes it easier.","PeriodicalId":284178,"journal":{"name":"Proceedings of the XIV Brazilian Symposium on Information Systems","volume":"348 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XIV Brazilian Symposium on Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3229345.3229361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Because of the variety of IaaS cloud providers, the available information to the clients becomes confusing. Likewise, due the lacking uniformity of provided services and data representation, the combination of diversified rate, the complexity of the settings, the uncertainty about settings and necessary resources result on a challenge in target provider selection. To attenuate the problem, on the present project the multicriteria method is used to analyze the hierarchy process, optimizing the decision-making process. From experimental results, based on genuine administrators' opinions, it is noticed that clients have trouble in the selection of the provider, showing a latent necessity of tools that automate and simplify decision-making. Mainly, the proposed mechanism, not only optimizes the providers selection of IaaS clouds, but also makes it easier.