{"title":"CloudAdvisor for Sustainable and Data Residency Compliant Data Placement in Multi-Cloud","authors":"Pankaj Sahu, Shubhro Roy, M. Gharote","doi":"10.1109/COMSNETS59351.2024.10427201","DOIUrl":null,"url":null,"abstract":"Enterprises must make multiple decisions at various stages of Cloud adoption. These decisions could be strategic, such as selecting Cloud Service Providers (CSPs), and tactical, such as choosing the location for storage and processing users' data, or operational decisions regarding virtual machine selection and workload scheduling. While addressing these decision problems, enterprises need to comply with varied data regulations, aim for lower carbon footprint, and provide better quality of service to globally distributed customers with minimal operational cost. The proposed Cloud Advisor tool assists enterprises in making effective cloud resource management decisions. The tool helps enterprises achieve sustainable and compliant data placement decisions.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"336 7","pages":"285-287"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSNETS59351.2024.10427201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Enterprises must make multiple decisions at various stages of Cloud adoption. These decisions could be strategic, such as selecting Cloud Service Providers (CSPs), and tactical, such as choosing the location for storage and processing users' data, or operational decisions regarding virtual machine selection and workload scheduling. While addressing these decision problems, enterprises need to comply with varied data regulations, aim for lower carbon footprint, and provide better quality of service to globally distributed customers with minimal operational cost. The proposed Cloud Advisor tool assists enterprises in making effective cloud resource management decisions. The tool helps enterprises achieve sustainable and compliant data placement decisions.