{"title":"复杂服务质量生命周期评估方法","authors":"R. Maule","doi":"10.1109/BigDataCongress.2016.71","DOIUrl":null,"url":null,"abstract":"Large-scale systems engineering projects involving hundreds of independent systems with complex systems integration requirements and high levels of security necessitate specialized analytics methodology to ensure systems readiness across their operational lifecycle. This includes assessment of systems, components, processes and services over time, and in the range of technical, operational and environmental contexts in which the service will operate. This paper presents a quality of service audit method for assessment of complex integrated services.","PeriodicalId":407471,"journal":{"name":"2016 IEEE International Congress on Big Data (BigData Congress)","volume":"38 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Complex Quality of Service Lifecycle Assessment Methodology\",\"authors\":\"R. Maule\",\"doi\":\"10.1109/BigDataCongress.2016.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large-scale systems engineering projects involving hundreds of independent systems with complex systems integration requirements and high levels of security necessitate specialized analytics methodology to ensure systems readiness across their operational lifecycle. This includes assessment of systems, components, processes and services over time, and in the range of technical, operational and environmental contexts in which the service will operate. This paper presents a quality of service audit method for assessment of complex integrated services.\",\"PeriodicalId\":407471,\"journal\":{\"name\":\"2016 IEEE International Congress on Big Data (BigData Congress)\",\"volume\":\"38 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Congress on Big Data (BigData Congress)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BigDataCongress.2016.71\",\"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 IEEE International Congress on Big Data (BigData Congress)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BigDataCongress.2016.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Complex Quality of Service Lifecycle Assessment Methodology
Large-scale systems engineering projects involving hundreds of independent systems with complex systems integration requirements and high levels of security necessitate specialized analytics methodology to ensure systems readiness across their operational lifecycle. This includes assessment of systems, components, processes and services over time, and in the range of technical, operational and environmental contexts in which the service will operate. This paper presents a quality of service audit method for assessment of complex integrated services.
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