地理信息服务网络与协同研究进展

doi:10.11947/j.AGCS.2022.20210338

摘要/Abstract

摘要： 互联网与大数据技术的高速发展为地理信息服务的互联共享与广泛应用提供了技术基础。面对资源海量、多源异构的地理信息服务,如何实现服务的有效组织并提供合理高效的服务组合,拓展地理信息服务的应用范围,满足更高层次的应用需求受到研究者的广泛关注。构建地理信息服务网络并通过语义实现服务协同,是一种可能的解决方案。本文分析了当前地理信息服务和地理信息服务网络研究的现状,依据服务网络领域的研究成果,从服务网络的表达和优化、服务协同的构建和优化两个方面探讨了基于网络构建的地理信息服务协同方法的发展潜力,进而提出了地理信息服务网络及协同面临的挑战与研究方向。

关键词: 地理信息服务, 服务网络, 地理信息服务网络, 服务协同

Abstract: The rapid development of the Internet and big data technology provided a technical foundation for the share and widespread use of the geospatial service (or GIService). Facing a large amount of multi-source, heterogeneous and massive geospatial services, it is a big challenge to organize these services and provide service compositions efficiently in order to expand the application scope, which has caught much attention of the scientists. Constructing the geospatial service web (GSW) and realizing semantics-based service collaboration is a potential solution to these issues. This paper analyzed the current development of the geospatial service and the GSW. Based on the achievements of the construction, expression, optimization, and service collaboration in the service network domain, we discussed several potential approaches of the GSW as well as GSW-based service collaboration. Finally, several technical challenges and research directions to construct GWS and service collaboration were proposed.

Key words: geospatial service, service network, geospatial service web, service collaboration

中图分类号:

P208

吴华意, 靳凤营, 梁健源, 张显源, 邢华桥, 桂志鹏, 李锐, 向隆刚. 地理信息服务网络与协同研究进展[J]. 测绘学报, 2022, 51(6): 1050-1061.

WU Huayi, JIN Fengying, LIANG Jianyuan, ZHANG Xianyuan, XING Huaqiao, GUI Zhipeng, LI Rui, XIANG Longgang. Research progress on geospatial service web and gollaboration[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 1050-1061.

参考文献

[1] ZHANG Chen, DI Liping, SUN Ziheng, et al. Exploring cloud-based Web Processing Service:a case study on the implementation of CMAQ as a service[J]. Environmental Modelling and Software, 2019, 113:29-41.
[2] FARNAGHI M, MANSOURIAN A. Multi-agent planning for automatic geospatial web service composition in geoportals[J]. ISPRS International Journal of Geo-Information, 2018, 7(10):404.
[3] CHEN Min, VOINOV A, AMES D P, et al. Position paper:open web-distributed integrated geographic modelling and simulation to enable broader participation and applications[J]. Earth-Science Reviews, 2020, 207:103223.
[4] HOFER B. Geospatial cyberinfrastructure and geoprocessing web-a review of commonalities and differences of Escience approaches[J]. ISPRS International Journal of Geo-Information, 2013, 2(3):749-765.
[5] YUE Songshan, CHEN Min, WEN Yongning, et al. Service-oriented model-encapsulation strategy for sharing and integrating heterogeneous geo-analysis models in an open web environment[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 114:258-273.
[6] LI Zhenlong, YANG Chaowei, HUANG Qunying, et al. Building model as a service to support geosciences[J]. Computers, Environment and Urban Systems, 2017, 61:141-152.
[7] GAO Fan, YUE Peng, ZHANG Chenxiao, et al. Coupling components and services for integrated environmental modelling[J]. Environmental Modelling and Software, 2019, 118:14-22.
[8] 沈平, 桂志鹏, 游兰, 等. 一种主动发现网络地理信息服务的主题爬虫[J]. 地球信息科学学报, 2015, 17(2):185-190. SHEN Ping, GUI Zhipeng, YOU Lan, et al. A topic crawler for discovering geospatial web services[J]. Journal of Geo-Information Science, 2015, 17(2):185-190.
[9] 章汉武, 胡月明, 吴华意. 支持地理空间信息服务质量的OWS框架扩展[J]. 测绘科学, 2011, 36(4):148-150, 130. ZHANG Hanwu, HU Yueming, WU Huayi. QoGIS supported OWS framework extension[J]. Science of Surveying and Mapping, 2011, 36(4):148-150, 130.
[10] 龚健雅, 耿晶, 吴华意, 等. 地理信息资源网络服务技术及其发展[J]. 测绘科学技术学报, 2013, 30(4):353-360. GONG Jianya, GENG Jing, WU Huayi, et al. The technology on geospatial service web and its development[J]. Journal of Geomatics Science and Technology, 2013, 30(4):353-360.
[11] GONG Jianya, WU Huayi, ZHANG Tong, et al. Geospatial service web:towards integrated cyberinfrastructure for GIScience[J]. Geo-Spatial Information Science, 2012, 15(2):73-84.
[12] GONG Jianya, WU Huayi. The geospatial service web:ubiquitous connectivity with geospatial services[J]. Transactions in GIS, 2012, 16(6):741-743.
[13] 苗放, 姚丹丹, 杨文晖. 基于G/S模式的空间信息云服务架构研究[J]. 计算机测量与控制, 2015, 23(5):1728-1730, 1733. MIAO Fang, YAO Dandan, YANG Wenhui. Research on spatial information cloud service architecture based on G/S model[J]. Computer Measurement & Control, 2015, 23(5):1728-1730, 1733.
[14] 杨洁. 服务计算:服务管理与服务组合流程[M]. 北京:清华大学出版社, 2017. YANG Jie. Service computing:service management and service composition processes[M]. Beijing:Tsinghua University Press, 2017.
[15] 张锡哲, 吕天阳, 张斌. 基于服务交互行为的复杂服务协同网络建模[J]. 软件学报, 2016, 27(2):231-246. ZHANG Xizhe, LV Tianyang, ZHANG Bin. Modeling complex collaboration network for service-oriented software based on execution behaviors[J]. Journal of Software, 2016, 27(2):231-246.
[16] LIU Jingnan, ZHAN Jiao, GUO Chi, et al. Data logic structure and key technologies on intelligent high-precision map[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(3):1-17.
[17] 姜明智, 曲建升, 刘红煦, 等. 科学组织范式的演变及其发展趋势研究[J]. 图书与情报, 2018(5):44-49, 140. JIANG Mingzhi, QU Jiansheng, LIU Hongxu, et al. A research on the transformation of scientific organization paradigm and its developing trends[J]. Library & Information, 2018(5):44-49, 140.
[18] 吴华意, 章汉武. 地理信息服务质量(QoGIS):概念和研究框架[J]. 武汉大学学报(信息科学版), 2007, 32(5):385-388. WU Huayi, ZHANG Hanwu. QoGIS:concept and research framework[J]. Geomatics and Information Science of Wuhan University, 2007, 32(5):385-388.
[19] 游兰, 张海兵, 桂志鹏, 等. 一种时区聚类协同过滤的空间信息服务质量预测[J]. 测绘科学, 2015, 40(5):99-105. YOU Lan, ZHANG Haibing, GUI Zhipeng, et al. A timezone clustering based collaborative filtering approach for QoGIS prediction[J]. Science of Surveying and Mapping, 2015, 40(5):99-105.
[20] 刘宵婧, 桂志鹏, 曹军, 等. GWR与STARMA结合的WMS响应时间时空预测模型[J]. 武汉大学学报(信息科学版), 2018, 43(6):951-958. LIU Xiaojing, GUI Zhipeng, CAO Jun, et al. Spatiotemporal-aware hybrid prediction model for response time of web map services by integrating GWR and STARMA[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6):951-958.
[21] HU Kai, GUI Zhipeng, CHENG Xiaoqiang, et al. The concept and technologies of quality of geographic information service:improving user experience of GIServices in a distributed computing environment[J]. ISPRS International Journal of Geo-Information, 2019, 8(3):118.
[22] WU Huayi, LI Zhenlong, ZHANG Hanwu, et al. Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the Internet to support decision making[J]. Computers & Geosciences, 2011, 37(4):485-494.
[23] GUI Zhipeng, YANG Chaowei, XIA Jizhe, et al. A performance, semantic and service quality-enhanced distributed search engine for improving geospatial resource discovery[J]. International Journal of Geographical Information Science, 2013, 27(6):1109-1132.
[24] 宋现锋, 刘军志. QoS支持下的GIS服务链最优化问题研究[J]. 电子科技大学学报, 2010, 39(2):298-301, 315. SONG Xianfeng, LIU Junzhi. Optimization of GIS web service chaining based on QoS[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2):298-301, 315.
[25] 兰波. 基于语义的服务关系挖掘[D]. 天津:天津大学, 2014. LAN Bo. Services relation mining based on semantics[D]. Tianjin:Tianjin University, 2014.
[26] 高双,游兰,桂志鹏, 等. 基于语义扩展的空间信息服务描述模型[J]. 计算机应用, 2015, 35(S1):178-182. GAO Shuang, YOU Lan, GUI Zhipeng, et al. Semantic extension description model of geospatial information service[J]. Journal of Computer Applications, 2015, 35(S1):178-182.
[27] SCHEIDER S, BALLATORE A. Semantic typing of linked geoprocessing workflows[J]. International Journal of Digital Earth, 2018, 11(1):113-138.
[28] 李牧闲, 桂志鹏, 成晓强, 等. 多核学习与用户反馈结合的WMS图层检索方法[J]. 测绘学报, 2019, 48(10):1320-1330. LI Muxian, GUI Zhipeng, CHENG Xiaoqiang, et al. A content-based WMS layer retrieval method combining multiple kernel learning and user feedback[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(10):1320-1330.
[29] 张敏, 桂志鹏, 成晓强, 等. 一种WMS领域主题文本提取及元数据扩展方法[J]. 武汉大学学报(信息科学版), 2019, 44(11):1730-1738. ZHANG Min, GUI Zhipeng, CHENG Xiaoqiang, et al. A text-based WMS domain themes extraction and metadata extension method[J]. Geomatics and Information Science of Wuhan University, 2019, 44(11):1730-1738.
[30] LI Wenwen, WANG Sizhe, BHATIA V. PolarHub:a large-scale web crawling engine for OGC service discovery in cyberinfrastructure[J]. Computers, Environment and Urban Systems, 2016, 59:195-207.
[31] GUI Zhipeng, CAO Jun, LIU Xiaojing, et al. Global-scale resource survey and performance monitoring of public OGC web map services[J]. ISPRS International Journal of Geo-Information, 2016, 5(6):88.
[32] TAN Xicheng, DI Liping, DENG Meixia, et al. Cloud- and agent-based geospatial service chain:a case study of submerged crops analysis during flooding of the Yangtze River Basin[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(3):1359-1370.
[33] YUE Peng, BAUMANN P, BUGBEE K, et al. Towards intelligent GIServices[J]. Earth Science Informatics, 2015, 8(3):463-481.
[34] JACKSON I. OneGeology-making geological map data for the earth accessible[J]. Episodes, 2007, 30(1):60-61.
[35] GOODCHILD M F, FU Pinde, RICH P. Sharing geographic information:an assessment of the geospatial one-stop[J]. Annals of the Association of American Geographers, 2007, 97(2):250-266.
[36] 蒋捷, 吴华意, 黄蔚. 国家地理信息公共服务平台"天地图"的关键技术与工程实践[J]. 测绘学报, 2017, 46(10):1665-1671.DOI:10.11947/j.AGCS.2017.20170357. JIANG Jie, WU Huayi, HUANG Wei. Key techniques and project practice for establishing national geo-information service platform "tianditu"[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1665-1671.DOI:10.11947/j.AGCS.2017.20170357.
[37] EVANGELIDIS K, NTOUROS K, MAKRIDIS S, et al. Geospatial services in the cloud[J]. Computers & Geosciences, 2014, 63:116-122.
[38] LIU Kai, YANG Chaowei, LI Wenwen, et al. The GEOSS clearinghouse high performance search engine[C]//Proceedings of the 19th International Conference on Geoinformatics. Shanghai:IEEE, 2011:1-4.
[39] QIAO Xiaohui, LI Zhiyu, AMES D P, et al. Simplifying the deployment of OGC web processing services (WPS) for environmental modelling-Introducing Tethys WPS Server[J]. Environmental Modelling & Software, 2019, 115:38-50.
[40] LIANG Jianyuan, XIE Yichun, SHA Zongyao, et al. Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)[J]. Computers, Environment and Urban Systems, 2020, 84:101542.
[41] GORELICK N, HANCHER M, DIXON M, et al. Google earth engine:planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment, 2017, 202:18-27.
[42] MAGNO R, DE FILIPPIS T, DI GIUSEPPE E, et al. Semi-automatic operational service for drought monitoring and forecasting in the Tuscany region[J]. Geosciences, 2018, 8(2):49.
[43] GAN Tian, TARBOTON D G, DASH P, et al. Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute hydrologic models[J]. Environmental Modelling & Software, 2020, 130:104731.
[44] LI Wenwen, YANG Chaowei, NEBERT D, et al. Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructure[J]. Computers & Geosciences, 2011, 37(11):1752-1762.
[45] 王艳军, 路立娟. 国土资源管理中典型地理信息服务链应用研究[J]. 测绘通报, 2016(9):38-42. WANG Yanjun, LU Lijuan. Study on the typical GIS service chain application in land resources management[J]. Bulletin of Surveying and Mapping, 2016(9):38-42.
[46] LI Zhenlong, YANG Chaowei, WU Huayi, et al. An optimized framework for seamlessly integrating OGC Web Services to support geospatial sciences[J]. International Journal of Geographical Information Science, 2011, 25(4):595-613.
[47] SHEN Shengyu, ZHANG Tong, WU Huayi, et al. A catalogue service for Internet GIServices supporting active service evaluation and real-time quality monitoring[J]. Transactions in GIS, 2012, 16(6):745-761.
[48] YUE Peng, GUO Xia, ZHANG Mingda, et al. Linked data and SDI:the case on web geoprocessing workflows[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 114:245-257.
[49] CHERIFI C, SANTUCCI J F. A comparative study of web services composition networks[C]//Proceedings of the 8th International Conference on Signal Image Technology and Internet Based Systems. Sorrento, Italy:IEEE, 2012:700-706.
[50] 朱志良, 邱媛源, 李丹程, 等. 一种Web服务复杂网络的构建方法[J]. 小型微型计算机系统, 2012, 33(2):199-205. ZHU Zhiliang, QIU Yuanyuan, LI Dancheng, et al. Approach for building complex network of web service[J]. Journal of Chinese Computer Systems, 2012, 33(2):199-205.
[51] 刘国奇, 王壮, 任介夫, 等. 基于复杂网络的服务链推荐方法[J]. 东北大学学报(自然科学版), 2013, 34(2):195-199. LIU Guoqi, WANG Zhuang, REN Jiefu, et al. Service chain recommending method based on complex network[J]. Journal of Northeastern University (Natural Science), 2013, 34(2):195-199.
[52] PAN Tiejun, ZHENG Leina. Trust network modeling for virtual enterprise cloud manufacturing[J]. International Journal of Digital Content Technology and Its Applications, 2012, 6(5):115-123.
[53] 章振杰. 基于复杂网络的云制造服务组合动态自适应方法研究[D]. 杭州:浙江工业大学, 2019. ZHANG Zhenjie. Dynamic self-adaptation approach of cloud manufacturing service composition based on complex network[D]. Hangzhou:Zhejiang University of Technology, 2019.
[54] 谢芳. 基于异构信息网的Web服务推荐方法研究[D]. 武汉:武汉大学, 2019. XIE Fang. Research on web service recommendation based on heterogeneous information network[D]. Wuhan:Wuhan University, 2019.
[55] 赵焕. 基于异构网络聚类的Web服务推荐系统研究[D]. 重庆:重庆大学, 2015. ZHAO Huan. Research of web service recommendation system based on heterogeneous network clustering[D]. Chongqing:Chongqing University, 2015.
[56] 李腾. 一种考虑服务网络聚类的服务排序算法[J]. 西南师范大学学报(自然科学版), 2016, 41(3):37-44. LI Teng. On a service ranking algorithm in consideration of service network clustering[J]. Journal of Southwest China Normal University (Natural Science Edition), 2016, 41(3):37-44.
[57] 张绍谦. 云计算环境下服务组合及其关键问题研究[D]. 南京:南京大学, 2014. ZHANG Shaoqian. Research on cloud service composition and its key problems[D]. Nanjing:Nanjing University, 2014.
[58] 朱琳萍, 陈彦萍. 基于多层框架的Web服务网络构建及分析[J]. 信息技术, 2017, 41(2):88-92, 96. ZHU Linping, CHEN Yanping. The construction and analysis of Web service network based on multilayer framework[J]. Information Technology, 2017, 41(2):88-92, 96.
[59] 李志明, 唐永中. 基于社交网络和关联数据的服务网络构建方法[J]. 计算机应用, 2017, 37(2):468-472. LI Zhiming, TANG Yongzhong. Constructing method of service network based on social network and linked data[J]. Journal of Computer Applications, 2017, 37(2):468-472.
[60] 王忠杰, 徐飞, 徐晓飞. 支持大规模个性化功能需求的服务网络构建[J]. 软件学报, 2014, 25(6):1180-1195. WANG Zhongjie, XU Fei, XU Xiaofei. Service network planning method for mass personalized functional requirements[J]. Journal of Software, 2014, 25(6):1180-1195.
[61] VILCHES-BLÁZQUEZ L M, SAAVEDRA J. A framework for connecting two interoperability universes:OGC Web Feature Services and Linked Data[J]. Transactions in GIS, 2019, 23(1):22-47.
[62] 王晓磊. 地理空间信息Web服务子片段排序与推荐[D]. 北京:中国地质大学(北京), 2016. WANG Xiaolei. Geospatial web service sub-chain ranking and recommendation[D]. Beijing:China University of Geosciences, 2016.
[63] 杨熹. 服务数据网络的构建与应用[D]. 上海:上海交通大学, 2018. YANG Xi. Service data network construction and application[D]. Shanghai:Shanghai Jiao Tong University, 2018.
[64] 邢红岩. 服务网络的持续生长机制研究[D]. 哈尔滨:哈尔滨工业大学, 2015. XING Hongyan. Continuous growth mechanism of service network[D]. Harbin:Harbin Institute of Technology, 2015.
[65] 徐飞. 面向群体顾客个性化需求的服务网络构建方法[D]. 哈尔滨:哈尔滨工业大学, 2013. XU Fei. A service network construction method for mass customized requirements[D]. Harbin:Harbin Institute of Technology, 2013.
[66] 韩院彬. Web服务网络分析和社区发现研究[D]. 天津:天津大学, 2014. HAN Yuanbin. Analysis and community detection on web services network[D]. Tianjin:Tianjin University, 2014.
[67] 王金传. 基于OGC标准的分布式地理信息服务链构建方法研究[D]. 济南:山东师范大学, 2019. WANG Jinchuan. Research on method of distributed geographic information service chain construction based on OGC standard[D]. Jinan:Shandong Normal University, 2019.
[68] 王艳军,路立娟. 国土资源管理中典型地理信息服务链应用研究[J]. 测绘通报, 2016(9):38-42. WANG Yanjun, LU Lijuan. Study on the typical GIS service chain application in land resources management[J]. Bulletin of Surveying and Mapping, 2016(9):38-42.
[69] QI Kunlun, GUI Zhipeng, LI Zhenqiang, et al. An extension mechanism to verify, constrain and enhance geoprocessing workflows invocation[J]. Transactions in GIS, 2016, 20(2):240-258.
[70] MENG Xiaoliang, XIE Yichun, BIAN Fuling. Distributed geospatial analysis through web processing service:a case study of earthquake disaster assessment[J]. Journal of Software, 2011, 5(6):671-679.
[71] 吴小竹. 地理知识云服务发现与组合技术研究[D]. 福州:福州大学, 2014. WU Xiaozhu. Research on discovery and composition technology of geographical knowledge cloud service[D]. Fuzhou:Fuzhou University, 2014.
[72] 游兰. 云环境下空间信息服务组合的自治愈关键技术研究[D]. 武汉:武汉大学, 2015. YOU Lan. Research on self-healing key technology of geospatial service composition in cloud environment[D]. Wuhan:Wuhan University, 2015.
[73] 雒佳琳. 面向任务驱动的地表覆盖信息动态服务组合机制研究与实现[D]. 徐州:中国矿业大学, 2019. LUO Jialin. Research and implementation of task-driven land cover information dynamic service combination mechanism[D]. Xuzhou:China University of Mining and Technology, 2019.
[74] 薛丹. 基于工作流的空间信息服务组合引擎的设计与实现[D]. 长沙:国防科学技术大学, 2008. XUE Dan. Design and implementation of the composition engine for geospatial web service based on workflow[D]. Changsha:National University of Defense Technology, 2008.
[75] 刘兴万. 基于补偿服务链的地理信息服务聚合技术研究[D]. 北京:中国测绘科学研究院, 2010. LIU Xingwan. Research on the geographic information services aggregation based on compensate service chain[D]. Beijing:Chinese Academy of Surveying and Mapping, 2010.
[76] 刘必欣. 动态Web服务组合关键技术研究[D]. 长沙:国防科学技术大学, 2005. LIU Bixin. The research on key technologies of dynamic web service composition[D]. Changsha:National University of Defense Technology, 2005.
[77] 汤景凡. 动态Web服务组合的关键技术研究[D]. 杭州:浙江大学, 2005. TANG Jingfan. Research on key technologies for dynamic web services composition[D]. Hangzhou:Zhejiang University, 2005.
[78] LUTZ M. Ontology-based descriptions for semantic discovery and composition of geoprocessing services[J]. GeoInformatica, 2007, 11(1):1-36.
[79] 李曼, 王大治, 杜小勇, 等. 基于领域本体的Web服务动态组合[J]. 计算机学报, 2005, 28(4):644-650. LI Man, WANG Dazhi, DU Xiaoyong, et al. Dynamic composition of web services based on domain ontology[J]. Chinese Journal of Computers, 2005, 28(4):644-650.
[80] 邬群勇, 许贤彬, 王钦敏. 一种语义接口匹配的地理信息Web服务动态组合方法[J]. 福州大学学报(自然科学版), 2011, 39(5):699-706. WU Qunyong, XU Xianbin, WANG Qinmin. A dynamic composition method for geographical information Web services based on semantic interface matching[J]. Journal of Fuzhou University (Natural Science Edition), 2011, 39(5):699-706.
[81] 刘婷. 土地资源信息语义服务发现与服务链研究[D]. 杭州:浙江大学, 2010. LIU Ting. Study on semantic service discovery and service chain of land resource information[D]. Hangzhou:Zhejiang University, 2010.
[82] SHANG Jiaxing, LIU Lianchen, WU Cheng. WSCN:web service composition based on complex networks[C]//Proceedings of 2013 International Conference on Service Sciences (ICSS). Shenzhen, China:IEEE, 2013:208-213.
[83] 邢华桥. 面向地表覆盖变化检测的服务关系模型与方法研究[J]. 测绘学报, 2018, 47(9):1291.DOI:10.11947/j.AGCS.2018.20170523. XING Huaqiao. Modeling and methods of service relation for land cover change detection[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(9):1291.DOI:10.11947/j.AGCS.2018.20170523.
[84] ARDAGNA D, PERNICI B. Adaptive service composition in flexible processes[J]. IEEE Transactions on Software Engineering, 2007, 33(6):369-384.
[85] ALRIFAI M, RISSE T. Combining global optimization with local selection for efficient QoS-aware service composition[C]//Proceedings of the 18th international conference on World wide web. Madrid, Spain:ACM, 2009:881-890.
[86] 蒋哲远, 韩江洪, 王钊. 动态的QoS感知Web服务选择和组合优化模型[J]. 计算机学报, 2009, 32(5):1014-1025. JIANG Zheyuan, HAN Jianghong, WANG Zhao. An optimization model for dynamic QoS-aware web services selection and composition[J]. Chinese Journal of Computers, 2009, 32(5):1014-1025.
[87] 刘波. 云制造环境中面向多任务的服务组合与优化技术研究[D]. 重庆:重庆大学, 2012. LIU Bo. Study on multi-task oriented services composition and optimization in cloud manufacturing[D]. Chongqing:Chongqing University, 2012.
[88] 刘莉平. 动态Web服务组合关键技术研究[D]. 长沙:中南大学, 2011. LIU Liping. Research on key technologies of dynamic web service composition[D]. Changsha:Central South University, 2011.
[89] 王尚广, 孙其博, 杨放春. 基于全局QoS约束分解的Web服务动态选择[J]. 软件学报, 2011, 22(7):1426-1439. WANG Shangguang, SUN Qibo, YANG Fangchun. Web service dynamic selection by the decomposition of global QoS constraints[J]. Journal of Software, 2011, 22(7):1426-1439.
[90] 夏亚梅, 程渤, 陈俊亮, 等. 基于改进蚁群算法的服务组合优化[J]. 计算机学报, 2012, 35(2):2270-2281. XIA Yamei, CHENG Bo, CHEN Junliang, et al. Optimizing services composition based on improved ant colony algorithm[J]. Chinese Journal of Computers, 2012, 35(2):2270-2281.
[91] 张严凯. 基于蚁群算法的云制造服务组合优化研究[D]. 南京:南京邮电大学, 2018. ZHANG Yankai. Research on Combination Optimization of Cloud Manufacturing Service Based on Ant Colony Algorithm[D]. Nanjing:Nanjing University of Posts and Telecommunications, 2018.
[92] 李金忠, 夏洁武, 唐卫东, 等. 基于QoS的Web服务选择算法综述[J]. 计算机应用研究, 2010, 27(10):3622-3627, 3638. LI Jinzhong, XIA Jiewu, TANG Weidong, et al. Survey on Web services selection algorithms based on QoS[J]. Application Research of Computers, 2010, 27(10):3622-3627, 3638.
[93] 谭振宇, 乐鹏, 张明达, 等. GeoQoS-QoS感知的空间信息服务组合建模工具[J]. 测绘通报, 2016(4):43-48. TAN Zhenyu, YUE Peng, ZHANG Mingda, et al. GeoQoS-A tool for QoS-aware geospatial information services composition[J]. Bulletin of Surveying and Mapping, 2016(4):43-48.
[94] 吴钊. 保证服务质量的动态Web服务组合及其性能分析研究[D]. 武汉:武汉大学, 2007. WU Zhao. Research on dynamic web service composition and performance analysis with QoS assurences[D]. Wuhan:Wuhan University, 2007.
[95] 江琦, 奚宏生, 殷保群. 事件驱动的的动态服务组合策略在线自适应优化[J]. 控制理论与应用, 2011, 28(8):1049-1055. JIANG Qi, XI Hongsheng, YIN Baoqun. Online adaptive optimization for event-driven dynamic service composition[J]. Control Theory & Applications, 2011, 28(8):1049-1055.
[96] 张康, 高洪皓, 朱永华, 等. 一种基于改进模拟退火算法的QoS动态服务组合方法[J]. 应用科学学报, 2017, 35(5):570-584. ZHANG Kang, GAO Honghao, ZHU Yonghua, et al. QoS dynamic web services composition method based on improved simulated annealing algorithm[J]. Journal of Applied Sciences, 2017, 35(5):570-584.
[97] 易雄鹰, 任应超, 伍胜, 等. 基于ECA规则的GIS服务链异常恢复策略[J]. 计算机工程与设计, 2016, 37(2):396-400. YI Xiongying, REN Yingchao, WU Sheng, et al. Exception recovery strategy for GIS service chain based on ECA rules[J]. Computer Engineering and Design, 2016, 37(2):396-400.