{"title":"实现云计算中恢复的成本和性能优化的程序","authors":"Pham Phuoc Hung, Xuan-Qui Pham, Ga-Won Lee, Bui Tuan-Anh, E. Huh","doi":"10.1109/APNOMS.2015.7275402","DOIUrl":null,"url":null,"abstract":"This research discusses a system architecture that comes up with potentially better resiliency and faster recovery from failures based on the renowned genetic algorithm. Additionally, we aim to achieve a globally optimized performance as well as a service solution that can remain financially and operationally balanced according to customer preferences. The proposed methodology has undergone numerous and severe evaluations to be proclaimed of their effectiveness and efficiency, even when put under tight comparison with other existing work.","PeriodicalId":269263,"journal":{"name":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A procedure to achieve cost and performance optimization for recovery in cloud computing\",\"authors\":\"Pham Phuoc Hung, Xuan-Qui Pham, Ga-Won Lee, Bui Tuan-Anh, E. Huh\",\"doi\":\"10.1109/APNOMS.2015.7275402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research discusses a system architecture that comes up with potentially better resiliency and faster recovery from failures based on the renowned genetic algorithm. Additionally, we aim to achieve a globally optimized performance as well as a service solution that can remain financially and operationally balanced according to customer preferences. The proposed methodology has undergone numerous and severe evaluations to be proclaimed of their effectiveness and efficiency, even when put under tight comparison with other existing work.\",\"PeriodicalId\":269263,\"journal\":{\"name\":\"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APNOMS.2015.7275402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APNOMS.2015.7275402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A procedure to achieve cost and performance optimization for recovery in cloud computing
This research discusses a system architecture that comes up with potentially better resiliency and faster recovery from failures based on the renowned genetic algorithm. Additionally, we aim to achieve a globally optimized performance as well as a service solution that can remain financially and operationally balanced according to customer preferences. The proposed methodology has undergone numerous and severe evaluations to be proclaimed of their effectiveness and efficiency, even when put under tight comparison with other existing work.
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