数据恢复使用基于事务状态的规则，其中事务状态是由协调器和参与者记录的。
Data recovery USES rules based on the state of the transaction as recorded by the coordinator and participants.
后续请求也被同等对待：客户端总是联系中心协调者节点，而协调者节点会从正确的节点检索数据。
Subsequent requests are treated similarly: the clients always contact the central coordinator node, and the coordinator node retrieves the data from the correct node.
众多支持者认为使用磁盘存储在线数据会产生很多问题，无法实现优雅地可伸缩性，而磁盘容量也会不断膨胀——访问延迟与带宽并非协调一致。
Proponents make the case that disk-oriented approaches to online storage are problematic, do not scale gracefully and while disk capacity has exploded — access latency and bandwidth has not kept pace.
通过在本周一WWDC 2011年发布的iCloud，苹果对云的利用是把它作为数据流的协调者而非控制者。
With iCloud, announced on Monday at WWDC 2011, Apple USES the cloud to orchestrate data streams rather than control them.
如果任一数据库有一些已准备的故障类型(不同的场景)，那么数据库响应Rollback而不是Prepared，并且协调器把Rollback广播给所有的参与者。
If either Database had some kind of failure preparing (a different scenario), it would respond Rollback instead of Prepared and the coordinator would broadcast Rollback to all participants.
业务逻辑常常是照本宣科的遵循MVC模式，而以数据为中心的PaaS能令构建系统与众不同，它能够协调业务和参与者之间的活动。
Business logic is often scripted within actions, following an MVC pattern. Data-centric PaaS could make it difficult to build systems that coordinate the activities between business partners.
同行评审协调者应当在存储库中保存这些度量值，并生成阶段性的数据总结报告给实践者和经理们。
The peer review coordinator shall maintain these metrics in a repository and produce periodic reports of summary data for practitioners and managers.
临床研究者、协调员、临床监察员以及数据管理员等临床试验中的各种角色都能通过电子数据采集享受到特有的便利。
Researchers of various roles involved in clinical trials, such as investigators, study coordinators, site monitors and data managers, can enjoy unique benefits offered by EDC.
在本次讲座中，通过对实例的讲解，参与者能够了解到临床数据如何在数据管理者、临床研究协调员、研究者和监察员间传递。
Through an example trial in this speaking series, participants will observe how clinical data flows between data managers, CRCs, investigators and monitors.
在本次讲座中，通过对实例的讲解，参与者能够了解到临床数据如何在数据管理者、临床研究协调员、研究者和监察员间传递。
Through an example trial in this speaking series, participants will observe how clinical data flows between data managers, CRCs, investigators and monitors.
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