{"title":"一种基于云计算的物理向虚拟机传输的理论解决方案","authors":"Mahmoud Odeh","doi":"10.1109/INFOMAN.2019.8714690","DOIUrl":null,"url":null,"abstract":"With the potential of leadership in information systems, the emerging paradigm of replacing cloud computing technology with physical machines such as servers could drive the information technology fashion in several sectors. Factories are one of such sectors, which could adopt cloud computing technology because of its beneficial features to improve the overall cost and services quality. However, the review of the existing literature shows that there is a limited research effort that illustrates the main steps for the adoption of cloud computing in Jordanian factories. This paper aims to suggest a theoretical solution to replace physical machines into virtual machines using cloud computing technology in Jordanian factories. The study, accordingly, suggests a conceptual framework for such adoption. The new framework was developed and tested in three Jordanian factories. An interpretive paradigm using triangulation methods was applied to collect qualitative data, conducting nine semi-structured interviews, two focus groups, and reviewing annual documents and reports. In addition, the study identifies the main key factors that could influence the decision of cloud technology adoption as well as transferring from traditional technology to virtual machines. Such factors include the availability of proposed solutions for virtualization, costs, current physical resources, professional team availability, and the migration process.","PeriodicalId":186072,"journal":{"name":"2019 5th International Conference on Information Management (ICIM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Proposed Theoretical Solution for Transferring from Physical to Virtual Machines Based on Cloud Computing\",\"authors\":\"Mahmoud Odeh\",\"doi\":\"10.1109/INFOMAN.2019.8714690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the potential of leadership in information systems, the emerging paradigm of replacing cloud computing technology with physical machines such as servers could drive the information technology fashion in several sectors. Factories are one of such sectors, which could adopt cloud computing technology because of its beneficial features to improve the overall cost and services quality. However, the review of the existing literature shows that there is a limited research effort that illustrates the main steps for the adoption of cloud computing in Jordanian factories. This paper aims to suggest a theoretical solution to replace physical machines into virtual machines using cloud computing technology in Jordanian factories. The study, accordingly, suggests a conceptual framework for such adoption. The new framework was developed and tested in three Jordanian factories. An interpretive paradigm using triangulation methods was applied to collect qualitative data, conducting nine semi-structured interviews, two focus groups, and reviewing annual documents and reports. In addition, the study identifies the main key factors that could influence the decision of cloud technology adoption as well as transferring from traditional technology to virtual machines. Such factors include the availability of proposed solutions for virtualization, costs, current physical resources, professional team availability, and the migration process.\",\"PeriodicalId\":186072,\"journal\":{\"name\":\"2019 5th International Conference on Information Management (ICIM)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Information Management (ICIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOMAN.2019.8714690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Information Management (ICIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOMAN.2019.8714690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Proposed Theoretical Solution for Transferring from Physical to Virtual Machines Based on Cloud Computing
With the potential of leadership in information systems, the emerging paradigm of replacing cloud computing technology with physical machines such as servers could drive the information technology fashion in several sectors. Factories are one of such sectors, which could adopt cloud computing technology because of its beneficial features to improve the overall cost and services quality. However, the review of the existing literature shows that there is a limited research effort that illustrates the main steps for the adoption of cloud computing in Jordanian factories. This paper aims to suggest a theoretical solution to replace physical machines into virtual machines using cloud computing technology in Jordanian factories. The study, accordingly, suggests a conceptual framework for such adoption. The new framework was developed and tested in three Jordanian factories. An interpretive paradigm using triangulation methods was applied to collect qualitative data, conducting nine semi-structured interviews, two focus groups, and reviewing annual documents and reports. In addition, the study identifies the main key factors that could influence the decision of cloud technology adoption as well as transferring from traditional technology to virtual machines. Such factors include the availability of proposed solutions for virtualization, costs, current physical resources, professional team availability, and the migration process.