国内外云服务研究现状对比分析
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摘要
[目的/意义]云服务在经济建设、管理决策和社会发展中发挥着重要的作用,为了明确目前国内外云服务研究发展趋势和所存在的问题,对国内外云服务研究进行分析比较。[方法/过程]首先,对国内外云服务研究的发文趋势、演化路径和高频关键词网络进行分析;其次,分析了国内外云服务理论和应用研究,并对国内外云服务理论和应用研究进行了对比分析,归纳存在的问题。[结果/结论]目前国内外云服务研究的理论与应用既有交叉,又各有其侧重,未来云服务在应用方面的发展趋势将更加显著。
[Purpose/Meaning]Cloud services play an important role in economic construction,management decision-making and social development.In order to clarify the current research trends and existing problems of cloud services research at home and abroad,the analysis of cloud service research at home and abroad is carried out.[Methods/Processes]Firstly,the paper analyzed the trends,evolution paths and high-frequency keyword networks of cloud service research at home and abroad.Secondly,it analyzed the theory and application of cloud services at home and abroad,and the theory and application of cloud services at home and abroad.The study conducted a comparative analysis to summarize the existing problems.[Results/Conclusions]At present,the theory and application of cloud service research at home and abroad had both crossovers and their respective focuses.The future development trend of cloud services would be more significant.
[Purpose/Meaning]Cloud services play an important role in economic construction,management decision-making and social development.In order to clarify the current research trends and existing problems of cloud services research at home and abroad,the analysis of cloud service research at home and abroad is carried out.[Methods/Processes]Firstly,the paper analyzed the trends,evolution paths and high-frequency keyword networks of cloud service research at home and abroad.Secondly,it analyzed the theory and application of cloud services at home and abroad,and the theory and application of cloud services at home and abroad.The study conducted a comparative analysis to summarize the existing problems.[Results/Conclusions]At present,the theory and application of cloud service research at home and abroad had both crossovers and their respective focuses.The future development trend of cloud services would be more significant.
引文
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[2]邓仲华,喻越.云环境下的信息服务等级协议研究[J].图书与情报,2009,(4):57-60.
[3]Sherry J.Making Middleboxes Someone Else's Problem:Network Processing as a Cloud Service[J].Acm Sigcomm Computer Communication Review,2012,42(4):13-24.
[4]Yang B.Performance Evaluation of Cloud Service Considering Fault Recovery[J].Applied Intelligence,2013,65(1):426-444.
[5]Gutierrez-Garcia J O.Agent-based Cloud Service Composition[J].Applied Intelligence,2013,38(3):436-464.
[6]Kurdi H.A Combinatorial Optimization Algorithm for Multiple Cloud Service Composition[J].Computers & Electrical Engineering,2015,42(2):107-113.
[7]Sun L.Cloud Service Selection:State-of-the-art and Future Research Directions[J].Journal of Network and Computer Applications,2014,25(10):134-150.
[8]Ghosh N.SelCSP:A Framework to Facilitate Selection of Cloud Service Providers[J].Ieee Transactions on Cloud Computing,2015,3(1):66-79.
[9]程慧平,王建亚.面向个人用户的云服务采纳行为研究述评[J].情报资料工作,2017,(6):68-73.
[10]郑荣,杨冉.基于云服务平台的竞争情报服务联盟构建研究[J].情报理论与实践,2016,39(8):54-59.
[11]张立频.利用云服务理论构建学科知识网络平台的实现策略——以公安学科知识网络云平台为例[J].大学图书馆学报,2014,32(2):39-43.
[12]程慧平,杨伟.基于IPA和因子分析法的个人云服务评价研究[J].现代情报,2017,37(10):28-35.
[13]唐晓应,毛静.大数据环境下高校图书馆社区信息云服务模式探析[J].图书馆,2016(12):108-111.
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[15]程慧平,金玲,程玉清.云服务安全风险研究综述[J].情报杂志,2018,37(4):128-134,200.
[16]谢洪安,刘大福,苏旸,等.基于无干扰理论的云服务行为可信模型[J].计算机应用,2016,36(10):2728-2732.
[17]刘征驰,赖明勇.云服务环境下的互联网市场结构变迁[J].系统工程理论与实践,2017,37(8):2060-2070.
[18]赵广凤,吴继英,黎小兰.统计云服务平台的构建与统计服务能力提升策略[J].统计与决策,2017,(20):39-43.
[19]甯佐斌.基于数字图书馆云服务平台的架构模型设计——以西南民族大学图书馆为例[J].图书馆理论与实践,2016,(9):98-100.
[20]刘钻石,耿秀丽.基于D-S理论的可信云服务评价方法研究[J].计算机工程与应用,2017,53(17):70-76.
[21]Al-Faifi A M.Performance Prediction Model for Cloud Service Selection from Smart Data[J].Future Generation Computer Systems-The International Journal of science,2018,85(8):97-106.
[22]Pal R.Economic Models for Cloud Service Markets:Pricing and Capacity Planning[J].Theoretical Computer Science,2013,496(7):113-124.
[23]Wang S G.Towards an Accurate Evaluation of Quality of Cloud Service in Service-oriented Cloud Computing[J].Journal of Intelligent Manufacturing,2014,25(2):283-291.
[24]Dou W C.HireSome-Ⅱ:Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications[J].Ieee Transactions on Parallel and Distributed Systems,2015,26(2):455-466.
[25]Hegazy T.Industrial Automation as a Cloud Service[J].Ieee Transactions on Parallel and Distributed Systems,2015,26(10):2750-2763.
[26]王宏起,程淑娥,李玥.大数据环境下区域科技资源共享平台云服务模式研究[J].情报理论与实践,2017,40(3):42-47.
[27]杨震,杨甜甜,范科峰,等.基于信任合成的云服务动态组合机制研究[J].电子学报,2018,46(3):614-620.
[28]周鹏,李环,刘佩文,等.基于大数据的教育云服务绩效评价研究[J].中国电化教育,2018,(6):17-23.
[29]金鸿,姚锡凡,杨洲,等.基于教—学算法的制造云服务组合优化[J].计算机集成制造系统,2018,24(1):43-52.
[30]王泽.改进QoS的云服务评价模型[J].现代电子技术,2018,41(1):93-96,100.
[31]余宪泽,赵枫.视频云服务支持的“同课同构”教研模式构建[J].中小学教师培训,2018,(4):34-36.
[32]杜梅,蔡盈芳,周文泓,等.基于云服务的电子文件安全与保密研究[J].档案学研究,2017,(1):28-34.
[33]熊巧巧,魏琴,姚立国,等.云服务的机床供应链全生命周期协同模型研究[J].组合机床与自动化加工技术,2018,(5):173-175,180.
[34]孟煜,张斌,郭军,等.云计算环境下云服务用户并发量的区间预测模型[J].计算机学报,2017,40(2):378-396.
[35]张军,黄毅松.面向云服务的用户体验设计研究及实践[J].包装工程,2017,38(10):31-36.
[36]冯勇,郑尧军.基于云服务的自动变速器虚拟实训软件研究[J].科技通报,2018,34(2):266-268.
[2]邓仲华,喻越.云环境下的信息服务等级协议研究[J].图书与情报,2009,(4):57-60.
[3]Sherry J.Making Middleboxes Someone Else's Problem:Network Processing as a Cloud Service[J].Acm Sigcomm Computer Communication Review,2012,42(4):13-24.
[4]Yang B.Performance Evaluation of Cloud Service Considering Fault Recovery[J].Applied Intelligence,2013,65(1):426-444.
[5]Gutierrez-Garcia J O.Agent-based Cloud Service Composition[J].Applied Intelligence,2013,38(3):436-464.
[6]Kurdi H.A Combinatorial Optimization Algorithm for Multiple Cloud Service Composition[J].Computers & Electrical Engineering,2015,42(2):107-113.
[7]Sun L.Cloud Service Selection:State-of-the-art and Future Research Directions[J].Journal of Network and Computer Applications,2014,25(10):134-150.
[8]Ghosh N.SelCSP:A Framework to Facilitate Selection of Cloud Service Providers[J].Ieee Transactions on Cloud Computing,2015,3(1):66-79.
[9]程慧平,王建亚.面向个人用户的云服务采纳行为研究述评[J].情报资料工作,2017,(6):68-73.
[10]郑荣,杨冉.基于云服务平台的竞争情报服务联盟构建研究[J].情报理论与实践,2016,39(8):54-59.
[11]张立频.利用云服务理论构建学科知识网络平台的实现策略——以公安学科知识网络云平台为例[J].大学图书馆学报,2014,32(2):39-43.
[12]程慧平,杨伟.基于IPA和因子分析法的个人云服务评价研究[J].现代情报,2017,37(10):28-35.
[13]唐晓应,毛静.大数据环境下高校图书馆社区信息云服务模式探析[J].图书馆,2016(12):108-111.
[14]李卫东,贾瑞雪.云服务:云传播时代的媒介变革[J].新闻与写作,2017,(9):41-45.
[15]程慧平,金玲,程玉清.云服务安全风险研究综述[J].情报杂志,2018,37(4):128-134,200.
[16]谢洪安,刘大福,苏旸,等.基于无干扰理论的云服务行为可信模型[J].计算机应用,2016,36(10):2728-2732.
[17]刘征驰,赖明勇.云服务环境下的互联网市场结构变迁[J].系统工程理论与实践,2017,37(8):2060-2070.
[18]赵广凤,吴继英,黎小兰.统计云服务平台的构建与统计服务能力提升策略[J].统计与决策,2017,(20):39-43.
[19]甯佐斌.基于数字图书馆云服务平台的架构模型设计——以西南民族大学图书馆为例[J].图书馆理论与实践,2016,(9):98-100.
[20]刘钻石,耿秀丽.基于D-S理论的可信云服务评价方法研究[J].计算机工程与应用,2017,53(17):70-76.
[21]Al-Faifi A M.Performance Prediction Model for Cloud Service Selection from Smart Data[J].Future Generation Computer Systems-The International Journal of science,2018,85(8):97-106.
[22]Pal R.Economic Models for Cloud Service Markets:Pricing and Capacity Planning[J].Theoretical Computer Science,2013,496(7):113-124.
[23]Wang S G.Towards an Accurate Evaluation of Quality of Cloud Service in Service-oriented Cloud Computing[J].Journal of Intelligent Manufacturing,2014,25(2):283-291.
[24]Dou W C.HireSome-Ⅱ:Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications[J].Ieee Transactions on Parallel and Distributed Systems,2015,26(2):455-466.
[25]Hegazy T.Industrial Automation as a Cloud Service[J].Ieee Transactions on Parallel and Distributed Systems,2015,26(10):2750-2763.
[26]王宏起,程淑娥,李玥.大数据环境下区域科技资源共享平台云服务模式研究[J].情报理论与实践,2017,40(3):42-47.
[27]杨震,杨甜甜,范科峰,等.基于信任合成的云服务动态组合机制研究[J].电子学报,2018,46(3):614-620.
[28]周鹏,李环,刘佩文,等.基于大数据的教育云服务绩效评价研究[J].中国电化教育,2018,(6):17-23.
[29]金鸿,姚锡凡,杨洲,等.基于教—学算法的制造云服务组合优化[J].计算机集成制造系统,2018,24(1):43-52.
[30]王泽.改进QoS的云服务评价模型[J].现代电子技术,2018,41(1):93-96,100.
[31]余宪泽,赵枫.视频云服务支持的“同课同构”教研模式构建[J].中小学教师培训,2018,(4):34-36.
[32]杜梅,蔡盈芳,周文泓,等.基于云服务的电子文件安全与保密研究[J].档案学研究,2017,(1):28-34.
[33]熊巧巧,魏琴,姚立国,等.云服务的机床供应链全生命周期协同模型研究[J].组合机床与自动化加工技术,2018,(5):173-175,180.
[34]孟煜,张斌,郭军,等.云计算环境下云服务用户并发量的区间预测模型[J].计算机学报,2017,40(2):378-396.
[35]张军,黄毅松.面向云服务的用户体验设计研究及实践[J].包装工程,2017,38(10):31-36.
[36]冯勇,郑尧军.基于云服务的自动变速器虚拟实训软件研究[J].科技通报,2018,34(2):266-268.