随着Web Geographical Information System(WebGIS)技术的快速发展,人们已不满足目前其基于简单网页技术的表现效果和交互性,而需要寻找更好的技术和方法来解决矢量地图的发布、服务器端和浏览器端更快的响应速度、更加理想的交互性等...随着Web Geographical Information System(WebGIS)技术的快速发展,人们已不满足目前其基于简单网页技术的表现效果和交互性,而需要寻找更好的技术和方法来解决矢量地图的发布、服务器端和浏览器端更快的响应速度、更加理想的交互性等瓶颈性问题,同时对系统伸缩性和开发简洁性也提出了更高的要求。为此,本文以WebGIS为研究对象,针对当前WebGIS空间数据的共享和互操作存在的问题,深入分析基于REST技术架构的GIS WEB服务技术模型,探讨如何将REST技术应用到WebGIS开发和应用中,在提高WebGIS的表现力与交互性的同时降低开发的复杂性,提高系统的可伸缩性,并有效地解决了数据的共享性和可交互性等问题。展开更多
RESTful Web Services是一个轻量级的架构,其中包含的重要概念有资源的可寻址性、连通性、无状态、统一接口等.通过低耦合和其他分布式组件,使其具有良好的交互性和可伸缩性.由于无需引入复杂的SOAP协议,比起RPC风格的Web Services,很...RESTful Web Services是一个轻量级的架构,其中包含的重要概念有资源的可寻址性、连通性、无状态、统一接口等.通过低耦合和其他分布式组件,使其具有良好的交互性和可伸缩性.由于无需引入复杂的SOAP协议,比起RPC风格的Web Services,很容易使用并且获得了广泛的应用.研究了在一个中医药信息系统中如何使用Restlet框架构建RESTful Web Services.展开更多
Resting-state functional magnetic resonance imaging (RS-fMRI)[1,2] provides relatively high spatial and temporal resolution for mapping spontaneous brain activity non-invasively. It has been widely used in cognitive n...Resting-state functional magnetic resonance imaging (RS-fMRI)[1,2] provides relatively high spatial and temporal resolution for mapping spontaneous brain activity non-invasively. It has been widely used in cognitive neuroscience and clinical studies. A number of comprehensive software packages have been developed for RS-fMRI data analysis, among which a MATLAB package named REST (RESing-state fMRI data analysis Toolkit, released in October 2008 at http://www.restfmri.net)[3] is the earliest one dedicated to RS-fMRI analysis. REST focuses on RS-fMRI postprocessing metrics.展开更多
We are entering a new era of computing, characterized by the need to handle over one zettabyte （1021 bytes, or ZB） of data. The world＇s capacities to sense, transmit, store, and process information need to grow thr...We are entering a new era of computing, characterized by the need to handle over one zettabyte （1021 bytes, or ZB） of data. The world＇s capacities to sense, transmit, store, and process information need to grow three orders of magnitude, while maintain an energy consumption level similar to that of the year 2010. In other words, we need to produce thousand-fold improvement in performance per watt. To face this challenge, in 2012 the Chinese Academy of Sciences launched a 10-year strategic priority research initiative called the Next Generation Information and Communication Technology initiative （the NICT initiative）. A research thrust of the NICT program is the Cloud-Sea Computing Systems project. The main idea is to augment conventional cloud computing by cooperation and integration of the cloud-side systems and the sea-side systems, where the ＂sea-side＂ refers to an augmented client side consisting of human facing and physical world facing devices and subsystems. The Cloud-Sea Computing Systems project consists of four research tasks： a new computing model called REST 2.0 which extends the REST （representational state transfer） architectural style of Web computing to cloud-sea computing, a three-tier storage system architecture capable of managing ZB of data, a billion-thread datacenter server with high energy efficiency, and an elastic processor aiming at energy efficiency of one trillion operations per second per watt. This special section contains 12 papers produced by the Cloud-Sea Computing Systems project team, presenting research results relating to sensing and REST 2.0, the elastic processor, the hyperparallel server, and the cloud-sea storage.展开更多
文摘随着Web Geographical Information System(WebGIS)技术的快速发展,人们已不满足目前其基于简单网页技术的表现效果和交互性,而需要寻找更好的技术和方法来解决矢量地图的发布、服务器端和浏览器端更快的响应速度、更加理想的交互性等瓶颈性问题,同时对系统伸缩性和开发简洁性也提出了更高的要求。为此,本文以WebGIS为研究对象,针对当前WebGIS空间数据的共享和互操作存在的问题,深入分析基于REST技术架构的GIS WEB服务技术模型,探讨如何将REST技术应用到WebGIS开发和应用中,在提高WebGIS的表现力与交互性的同时降低开发的复杂性,提高系统的可伸缩性,并有效地解决了数据的共享性和可交互性等问题。
文摘RESTful Web Services是一个轻量级的架构,其中包含的重要概念有资源的可寻址性、连通性、无状态、统一接口等.通过低耦合和其他分布式组件,使其具有良好的交互性和可伸缩性.由于无需引入复杂的SOAP协议,比起RPC风格的Web Services,很容易使用并且获得了广泛的应用.研究了在一个中医药信息系统中如何使用Restlet框架构建RESTful Web Services.
基金supported by Department of Science and Technology, Zhejiang Province (2015C03037)the National Natural Science Foundation of China (81520108016, 81661148045, 61671198, 81671774, 81701776, 81471653)
文摘Resting-state functional magnetic resonance imaging (RS-fMRI)[1,2] provides relatively high spatial and temporal resolution for mapping spontaneous brain activity non-invasively. It has been widely used in cognitive neuroscience and clinical studies. A number of comprehensive software packages have been developed for RS-fMRI data analysis, among which a MATLAB package named REST (RESing-state fMRI data analysis Toolkit, released in October 2008 at http://www.restfmri.net)[3] is the earliest one dedicated to RS-fMRI analysis. REST focuses on RS-fMRI postprocessing metrics.
基金Supported by the Strategic Priority Program of the Chinese Academy of Sciences under Grant No.XDA06010401 the Guangdong Talents Program of China under Grant No.201001D0104726115
文摘We are entering a new era of computing, characterized by the need to handle over one zettabyte （1021 bytes, or ZB） of data. The world＇s capacities to sense, transmit, store, and process information need to grow three orders of magnitude, while maintain an energy consumption level similar to that of the year 2010. In other words, we need to produce thousand-fold improvement in performance per watt. To face this challenge, in 2012 the Chinese Academy of Sciences launched a 10-year strategic priority research initiative called the Next Generation Information and Communication Technology initiative （the NICT initiative）. A research thrust of the NICT program is the Cloud-Sea Computing Systems project. The main idea is to augment conventional cloud computing by cooperation and integration of the cloud-side systems and the sea-side systems, where the ＂sea-side＂ refers to an augmented client side consisting of human facing and physical world facing devices and subsystems. The Cloud-Sea Computing Systems project consists of four research tasks： a new computing model called REST 2.0 which extends the REST （representational state transfer） architectural style of Web computing to cloud-sea computing, a three-tier storage system architecture capable of managing ZB of data, a billion-thread datacenter server with high energy efficiency, and an elastic processor aiming at energy efficiency of one trillion operations per second per watt. This special section contains 12 papers produced by the Cloud-Sea Computing Systems project team, presenting research results relating to sensing and REST 2.0, the elastic processor, the hyperparallel server, and the cloud-sea storage.
