|
|
|
| Development Trends of Cloud Services in Time Dimension |
| Wang Weijun, Bao Liqian, Liu Kai |
| School of Information Management, Central China Normal University, Wuhan 430079, China |
|
|
|
|
Abstract [Objective] Explore the current status and development trends in future with the change of numbers of cloud services. [Methods] Grab entries of cloud service concepts of Google search engine in last 12 years, using time series analysis. [Results] Cloud services can be divided into steep-type, pulse-type and wave-type categories. Steep-type cloud service will continue to grow, but the growth trend will slow down. It is unlikely for pulse-type cloud service to grow.The development trend of pulse-type cloud service is instability. [Limitations] Analyze trends of cloud services only from the time dimension. [Conclusions] From laboratory to market, cloud services may develop in the direction of centralized management services in the future, there will be industry-specific customization of cloud services.
|
|
Received: 29 November 2013
Published: 15 April 2014
|
|
|
| [1] Wikipedia.JohnMcCart [EB/OL].(2013-12-26). [2014-02-18]. http://en.wikipedia.org/wiki/John_McCarthy_(computer_scientist).
[2] Salesforce [EB/OL]. [2014-02-18]. http://www.salesforce. com/company/.
[3] IBM.Google and IBM Announce University Initiative to Address Internet-Scale Computing Challenges [EB/OL]. (2007-10-08). [2014-02-18].http://www-03.ibm.com/press/us/ en/pressrelease/22414.wss.
[4] Gartner.Gartner Says the Personal Cloud will Replace the Personal Computer as the Center of Users'Digital Lives by 2014 [EB/OL].(2012-03-12). [2014-02-18].http://www.gartner. com/newsroom/id/194731.
[5] Burns C.The Cloud Service Explosion [EB/OL].(2012-08- 13). [2014-02-18]. http://www.networkworld.com/supp/2012/ enterprise4/081312-ecs-cloud-services-261195.html.
[6] 黎春兰, 邓仲华.云计算环境下的信息资源共享研究 [J].中国信息界, 2011 (12):66-70.(Li Chunlan, Deng Zhonghua. Sharing of Information Resourses in the Cloud Computing Environment [J].China Information Times, 2011 (12): 66-70.)
[7] Sims K.IBM Introduces Ready-to-Use Cloud Computing [N/OL]. [2014-02-18]. http://www-03.ibm.com/press/us/en/ pressrelease/22613.wss.
[8] Wikipedia.Google App Engine [EB/OL]. (2014-02-11). [2014- 02-18].http://en.wikipedia.org/wiki/Google_App_Engine.
[9] Wikipedia.Windows Azure [EB/OL]. (2014-02-11). [2014-02- 18]. http://en.wikipedia.org/wiki/Windows_Azure
[10] Pring B, Brown R H, Frank A, et al.Forecast:Sizing the Cloud;Understanding the Opportunities in Cloud Services [R/OL]. [2009-03-18]. https://img2.insight.com/graphics/uk/ content/microsites/cloud/forecast_sizing_the_cloud_un_166525.pdf.
[11] Leavitt N.Is Cloud Computing Really Ready for Prime Time [J].IEEE Computer Society, 2009, 42(1):15-20.
[12] Armbrust M, Fox A, Griffith R, et al.A View of Cloud Computing [J].Communications of the ACM, 2010, 53(4): 50-58.
[13] 刘炜.图书馆需要一朵怎样的“云”？ [J].大学图书馆学报, 2009, 27(4):2-6.(Liu Wei. How Libraries Uprising with the Cloud Computing [J].Journal of Academic Libraries, 2009, 27(4): 2-6.)
[14] 冯宇彦, 赵占雪, 陈婉婷.云服务的解决方案探索 [J]. 信息技术与标准化, 2011(9):68-75.(Feng Yuyan, Zhao Zhanxue, Chen Wanting.The Exploration of the Solution for Cloud Service [J]. Information Technology & Standardization, 2011 (9): 68-75.)
[15] 王燕.应用时间序列分析 [M].北京:中国人民大学出版社, 2005.(Wang Yan.Applied Time Series Analysis [M]. Beijing: China Renmin University Press, 2005.)
[16] Box G E P, Jenkins G M, Reinsel G C. Time Series Analysis:Forecasting and Control [M]. Wiley, 2008.
[17] 杜强, 贾丽艳.SPSS统计分析——从入门到精通 [M].北京:人民邮电出版社, 2012. (Du Qiang, Jia Liyan.SPSS Statistical Analysis——From Entry to Master [M].Beijing: Post &Telecom Press, 2012.)
[18] 陈远, 王菲菲.基于时间序列的电子商务市场预测系统研发 [J].情报科学, 2009, 27(12): 1821-1833.(Chen Yuan, Wang Feifei.E-commerce Market Forecast System R&D Based on Time-series [J].Information Science, 2009, 27 (12): 1821- 1833.) |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
