请问http://www.wangda.com.cn所提供的软件（网络版）值多少钱

Bonjor 2003-08-20 09:32:11

请问http://www.wangda.com.cn所提供的营养配餐软件（网络版）值多少钱
请问http://www.wangda.com.cn所提供的营养配餐软件（网络版）值多少钱
请问http://www.wangda.com.cn所提供的营养配餐软件（网络版）值多少钱

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waynege 2004-03-08

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单机版128元
网络版建议采用注册方式，提供会员服务，不要单独销售软件

shanxing 2003-08-20

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phonegap-plugin-proximitysensorlocker 一个 phonegap 3.x 插件，用于 Android 的接近传感器锁定和解锁屏幕控制。安装您可以按如下方式使用 phonegap CLI： cordova plugin add https://github.com/wangda8791/proximitysensorlocker.git 使用下面的代码可以放在脚本标签中。 function acquire ( ) { proximitySensorLocker . acquire ( ) ; } function release ( ) { proximitySensorLocker . release ( ) ; }

phonegap-plugin-proximitysensorlocker 一个 phonegap 3.x 插件，用于 Android 的接近传感器锁定和解锁屏幕控制。安装您可以按如下方式使用 phonegap CLI： cordova plugin add https://github.com/wangda8791/proximitysensorlocker.git 使用下面的代码可以放在脚本标签中。 function acquire ( ) { proximitySensorLocker . acquire ( ) ; } function release ( ) { proximitySensorLocker . release ( ) ; }

joomla1.5的plugin，播放flash的插件

joomla1.5 的一个mp3 plugin

Apache Hadoop YARN is the modern distributed operating system for big data applications. It morphed the Hadoop compute layer to be a common resource-management platform that can host a wide variety of applications. Many organizations leverage YARN in building their applications on top of Hadoop without repeatedly worrying about resource management, isolation, multitenancy issues, etc. The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications. It employs a NameNode and DataNode architecture to implement a distributed file system that provides high-performance access to data across highly scalable Hadoop clusters. Wangda Tan and Wei-Chiu Chuang the current status of Apache Hadoop 3.x—how it’s used today in deployments large and small, and they dive into the exciting present and future of Hadoop 3.x—features that further strengthen Hadoop as the primary resource-management platform and the storage system for enterprise data centers. They explore the current status and the future promise of features and initiatives for both YARN and HDFS of Hadoop 3.×. For YARN 3.x, there is powerful container placement, global scheduling, support for machine learning (Spark) and deep learning (TensorFlow) workloads through GPU and field-programmable gate array (FPGA) scheduling and isolation support, extreme scale with YARN federation, containerized apps on YARN, support for long-running services (alongside applications) natively without any changes, seamless application/services upgrades, powerful scheduling features like application priorities, intra-queue preemption across applications, and operational enhancements including insights through Timeline Service v2, a new web UI, better queue management, etc. Also, HDFS 3.0 announced GA for erasure coding, which doubles the storage efficiency of data and thus reduces the cost of storage for enterprise use cases. HDFS added support for multiple standby NameNodes for better availability. For better reliability of metadata and easier operations, Journal nodes have been enhanced to sync the edit log segments to protect against rolling failures. Disk balancing within a DataNode was another important feature added to ensure disks are evenly utilized in a DataNode, which also ensures better aggregate throughput and prevents from lopsided utilization if new disks are added or replaced in a DataNode. The HDFS team is currently driving the Ozone initiative, which lays the foundation of the next generation of storage architecture for HDFS where data blocks are organized in storage containers for higher scale and handling of small objects in HDFS. The Ozone project also includes an object store implementation to support new use cases. And you’ll leave with all the knowledge of how to upgrade painlessly from 2.x to 3.x to get all the benefits.

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