{"title":"实时监控和分配数据库管理系统资源的 RAW-HF 框架","authors":"Mayank Patel , Minal Bhise","doi":"10.1016/j.simpa.2024.100643","DOIUrl":null,"url":null,"abstract":"<div><p>Most websites and applications are hosted on a public or private cloud. In-house deployments also require dealing with system resources. Researchers have started considering resources utilized by application workloads to estimate and reduce application running costs. RAW-HF (Resource Availability & Workload aware Hybrid Framework) framework tries to analyze two types of resource utilization; (1) System Resource Utilization and (2) Resource Utilized by each Query task. The RAW-HF code tries to provide a lightweight solution to monitor & analyze the system and DBMS process resource utilization. It filters the required data in real time to find available resources and allocate query-specific resources based on their complexity by utilizing less than 2% CPU resources.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000319/pdfft?md5=cf5181eea96c0c7d3f6ac66866a6077c&pid=1-s2.0-S2665963824000319-main.pdf","citationCount":"0","resultStr":"{\"title\":\"RAW-HF framework to monitor and allocate resources in real time for database management systems\",\"authors\":\"Mayank Patel , Minal Bhise\",\"doi\":\"10.1016/j.simpa.2024.100643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Most websites and applications are hosted on a public or private cloud. In-house deployments also require dealing with system resources. Researchers have started considering resources utilized by application workloads to estimate and reduce application running costs. RAW-HF (Resource Availability & Workload aware Hybrid Framework) framework tries to analyze two types of resource utilization; (1) System Resource Utilization and (2) Resource Utilized by each Query task. The RAW-HF code tries to provide a lightweight solution to monitor & analyze the system and DBMS process resource utilization. It filters the required data in real time to find available resources and allocate query-specific resources based on their complexity by utilizing less than 2% CPU resources.</p></div>\",\"PeriodicalId\":29771,\"journal\":{\"name\":\"Software Impacts\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2665963824000319/pdfft?md5=cf5181eea96c0c7d3f6ac66866a6077c&pid=1-s2.0-S2665963824000319-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Software Impacts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2665963824000319\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963824000319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
RAW-HF framework to monitor and allocate resources in real time for database management systems
Most websites and applications are hosted on a public or private cloud. In-house deployments also require dealing with system resources. Researchers have started considering resources utilized by application workloads to estimate and reduce application running costs. RAW-HF (Resource Availability & Workload aware Hybrid Framework) framework tries to analyze two types of resource utilization; (1) System Resource Utilization and (2) Resource Utilized by each Query task. The RAW-HF code tries to provide a lightweight solution to monitor & analyze the system and DBMS process resource utilization. It filters the required data in real time to find available resources and allocate query-specific resources based on their complexity by utilizing less than 2% CPU resources.
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