{"title":"探索应用程序迁移到云环境","authors":"Ahmed Kandil, H. El-Deeb","doi":"10.1109/CONFLUENCE.2016.7508097","DOIUrl":null,"url":null,"abstract":"Cloud computing has strongly imposed itself on the area of research for both industry and academics requirements. Cloud providers are moving or planning to move their applications to the cloud environment attaining infrastructures and different cloud service organizations. This task includes a lot of details to be academic selected to tackle such a task raising up a lot of questions which needs to be addressed in a scientific and practical approach. Most researches concerning this issue stressing on the challenges of the migration process to the cloud. But few studies stresses on the life running of practical applications in the cloud environment monitoring some selected performance measures to be compared before and after migration .The objective of this process could assist in taking a critical decision regarding either to keep or modify the practical migrated application. The Objective of this research is to evaluate the performance measures of a real running transaction processing system (TPS) as a selected case study before and after migration to the cloud environment. Plotting and analysis of the conducted results over the Amazon EC2 cloud environment as public cloud and a selected specific private cloud indicates 52% compared to the performance measures before migration which strongly support the usage of cloud computing approach for practical case studies without concerning about any performance degradation. The lower overhead cost for migration to public cloud environments proves the robustness of the proposed approach for this research.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Exploration of application migration to cloud environment\",\"authors\":\"Ahmed Kandil, H. El-Deeb\",\"doi\":\"10.1109/CONFLUENCE.2016.7508097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing has strongly imposed itself on the area of research for both industry and academics requirements. Cloud providers are moving or planning to move their applications to the cloud environment attaining infrastructures and different cloud service organizations. This task includes a lot of details to be academic selected to tackle such a task raising up a lot of questions which needs to be addressed in a scientific and practical approach. Most researches concerning this issue stressing on the challenges of the migration process to the cloud. But few studies stresses on the life running of practical applications in the cloud environment monitoring some selected performance measures to be compared before and after migration .The objective of this process could assist in taking a critical decision regarding either to keep or modify the practical migrated application. The Objective of this research is to evaluate the performance measures of a real running transaction processing system (TPS) as a selected case study before and after migration to the cloud environment. Plotting and analysis of the conducted results over the Amazon EC2 cloud environment as public cloud and a selected specific private cloud indicates 52% compared to the performance measures before migration which strongly support the usage of cloud computing approach for practical case studies without concerning about any performance degradation. The lower overhead cost for migration to public cloud environments proves the robustness of the proposed approach for this research.\",\"PeriodicalId\":299044,\"journal\":{\"name\":\"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONFLUENCE.2016.7508097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2016.7508097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploration of application migration to cloud environment
Cloud computing has strongly imposed itself on the area of research for both industry and academics requirements. Cloud providers are moving or planning to move their applications to the cloud environment attaining infrastructures and different cloud service organizations. This task includes a lot of details to be academic selected to tackle such a task raising up a lot of questions which needs to be addressed in a scientific and practical approach. Most researches concerning this issue stressing on the challenges of the migration process to the cloud. But few studies stresses on the life running of practical applications in the cloud environment monitoring some selected performance measures to be compared before and after migration .The objective of this process could assist in taking a critical decision regarding either to keep or modify the practical migrated application. The Objective of this research is to evaluate the performance measures of a real running transaction processing system (TPS) as a selected case study before and after migration to the cloud environment. Plotting and analysis of the conducted results over the Amazon EC2 cloud environment as public cloud and a selected specific private cloud indicates 52% compared to the performance measures before migration which strongly support the usage of cloud computing approach for practical case studies without concerning about any performance degradation. The lower overhead cost for migration to public cloud environments proves the robustness of the proposed approach for this research.