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    • 2. 发明申请
    • Cloud Reference Model Framework
    • 云参考模型框架
    • US20160041835A1
    • 2016-02-11
    • US14800497
    • 2015-07-15
    • Accenture Global Services Limited
    • Teresa S. TungOwen RichterJoseph F. TobolskiKishore S. Swaminathan
    • G06F9/455G06F9/50
    • G06F9/45533G06F9/5072
    • A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.
    • 在一个实施例中,计算设备实现的方法可以包括用于为计算平台转换内容的云变换模块。 另外,该方法可以包括从云变换模块接收内容的云控制模块。 该方法还可以包括配置虚拟机设备以形成计算平台的云控制模块。 此外,该方法可以包括执行云控制模块的供应的云实例模块。 此外,该方法还可以包括将虚拟机添加中间件以创建虚拟机设备的云设备模块。 此外,该方法可以包括产生计算平台的虚拟化表示的云虚拟化模块。
    • 4. 发明申请
    • DISTRIBUTED COMPUTING BACKUP AND RECOVERY SYSTEM
    • 分布式计算备份和恢复系统
    • US20150127982A1
    • 2015-05-07
    • US14553266
    • 2014-11-25
    • Accenture Global Services Limited
    • Teresa TungSameer FarooquiOwen Richter
    • G06F11/14
    • G06F17/30575G06F11/1451G06F11/1464G06F11/1469
    • The distributed computing backup and recovery (DCBR) system and method provide backup and recovery for distributed computing models (e.g., NoSQL) The DCBR system extends the protections from server node-level failure and introduces persistence in time so that the evolving data set may be stored and recovered to a past point in time. The DCBR system, instead of performing backup and recovery for an entire dataset, may be configured to apply to a subset of data. Instead of keeping or recovering snapshots of the entire dataset which requires the entire cluster, the DCBR system identifies the particular nodes and/or archive files where the dataset resides so that backup or recovery may be done with a much smaller number of nodes.
    • 分布式计算备份和恢复(DCBR)系统和方法为分布式计算模型(例如NoSQL)提供备份和恢复DCBR系统将保护从服务器节点级别故障中扩展,并且及时引入持久性,以便不断发展的数据集可能 储存和恢复到过去的时间点。 DCBR系统可以配置为应用于数据子集,而不是为整个数据集执行备份和恢复。 DCBR系统不需要保留或恢复需要整个集群的整个数据集的快照,而是识别数据集所在的特定节点和/或归档文件,以便备份或恢复可以用少得多的节点完成。