{"title":"云负载分析综述","authors":"Shalu Mall, A. Sharma","doi":"10.1109/ICCMC.2018.8487230","DOIUrl":null,"url":null,"abstract":"A frequent research in the area of cloud computing is due to its rapid demand and growth. Visualizing the development, it could be said that the upcoming time of technology is mostly depends on cloud technique. It make available to us \"as a service\" on user request. It could be an IAAS, SAAS or PAAS. The CSP bounding with the customers are highly rely upon how efficiently or smoothly the customers is using the cloud services, which is in succession rely on the powerful cloud managing. Other services, like data mining are more demanding, might worsen the speed due to more traffic on the cloud nodes. This requires the balance of load on cloud server by sharing the job to the suitable cloud cluster on the server. This review paper represents a correlation of existing methods for stack adjusting in distributed computing.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"19 1","pages":"651-653"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analyzing Load on Cloud: A Review\",\"authors\":\"Shalu Mall, A. Sharma\",\"doi\":\"10.1109/ICCMC.2018.8487230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A frequent research in the area of cloud computing is due to its rapid demand and growth. Visualizing the development, it could be said that the upcoming time of technology is mostly depends on cloud technique. It make available to us \\\"as a service\\\" on user request. It could be an IAAS, SAAS or PAAS. The CSP bounding with the customers are highly rely upon how efficiently or smoothly the customers is using the cloud services, which is in succession rely on the powerful cloud managing. Other services, like data mining are more demanding, might worsen the speed due to more traffic on the cloud nodes. This requires the balance of load on cloud server by sharing the job to the suitable cloud cluster on the server. This review paper represents a correlation of existing methods for stack adjusting in distributed computing.\",\"PeriodicalId\":6604,\"journal\":{\"name\":\"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"19 1\",\"pages\":\"651-653\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC.2018.8487230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8487230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A frequent research in the area of cloud computing is due to its rapid demand and growth. Visualizing the development, it could be said that the upcoming time of technology is mostly depends on cloud technique. It make available to us "as a service" on user request. It could be an IAAS, SAAS or PAAS. The CSP bounding with the customers are highly rely upon how efficiently or smoothly the customers is using the cloud services, which is in succession rely on the powerful cloud managing. Other services, like data mining are more demanding, might worsen the speed due to more traffic on the cloud nodes. This requires the balance of load on cloud server by sharing the job to the suitable cloud cluster on the server. This review paper represents a correlation of existing methods for stack adjusting in distributed computing.