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    • 2. 发明授权
    • Deterministic sharing of data among concurrent tasks using pre-defined deterministic conflict resolution policies
    • 使用预定义的确定性冲突解决策略在并发任务之间确定性地共享数据
    • US09009726B2
    • 2015-04-14
    • US12965070
    • 2010-12-10
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenAlexandro Baldassin
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenAlexandro Baldassin
    • G06F9/46G06F9/54G06F17/30G06F9/48
    • G06F9/544G06F9/466G06F9/485G06F17/30168
    • A “Concurrent Sharing Model” provides a programming model based on revisions and isolation types for concurrent revisions of states, data, or variables shared between two or more concurrent tasks or programs. This model enables revisions of shared states, data, or variables to maintain determinacy despite nondeterministic scheduling between concurrent tasks or programs. More specifically, the Concurrent Sharing Model provides various techniques wherein shared states, data, or variables are conceptually replicated on forks, and only copied or written if necessary, then deterministically merged on joins such that concurrent tasks or programs can work with independent local copies of the shared states, data, or variables while ensuring automated conflict resolution. This model is applicable to a wide variety of system architectures, including applications that execute tasks on a CPU or GPU, applications that run, in full or in part, on multi-core processors without full shared-memory guarantees, and applications that run within cloud computing environments.
    • “并发共享模型”提供了基于修订和隔离类型的编程模型,用于在两个或多个并发任务或程序之间共享的状态,数据或变量的并发修订。 尽管在并发任务或程序之间进行了非确定性调度,但该模型可以修改共享状态,数据或变量来保持确定性。 更具体地说,并发共享模型提供了各种技术,其中共享状态,数据或变量在概念上被复制到叉上,并且仅在必要时被复制或写入,然后确定地合并在联接上,使得并发任务或程序可以与独立的本地副本 共享状态,数据或变量,同时确保自动解决冲突。 该模型适用于各种系统架构,包括在CPU或GPU上执行任务的应用程序,全部或部分运行在不具有完全共享内存保证的多核处理器上的应用程序,以及运行在 云计算环境。
    • 3. 发明申请
    • EVENTUALLY CONSISTENT STORAGE AND TRANSACTIONS
    • 事件一致存储和交易
    • US20120265742A1
    • 2012-10-18
    • US13530661
    • 2012-06-22
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenManuel A. FahndrichBenjamin Paul Wood
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenManuel A. FahndrichBenjamin Paul Wood
    • G06F17/30
    • G06F9/466G06F17/30212G06F17/30371G06F17/30575Y10S707/99938Y10S707/99954
    • An “Eventually Consistent Sharing Model” provides various techniques for using “revision diagrams” to determine both arbitration and visibility of changes or updates to shared data (e.g., data, databases, lists, etc.) without requiring a causally consistent partial order for visibility, and without requiring change or update timestamps for arbitration. In particular, the Eventually Consistent Sharing Model provides fork-join automata based on revision diagrams to track the forking and joining of data versions, thereby tracking updates made to replicas of that data by one or more sources. “Cloud types” are used to define a structure of the shared data that enables fully automatic conflict resolution when updating the shared data. These concepts enable mobile devices (or other computing devices that may periodically go “offline”) to share structured data in cloud-based environments in a manner that provides local data replicas for offline operation while guaranteeing eventually consistent convergence of the data replicas.
    • 最终一致的共享模型提供了各种使用修订图的技术来确定对共享数据(例如数据,数据库,列表等)的更改或更新的仲裁和可见性,而不需要因果一致的可见度的部分顺序,并且不需要 更改或更新仲裁时间戳。 特别地,最终一致共享模型基于修订图提供叉连接自动机,以跟踪数据版本的分支和加入,从而跟踪由一个或多个源对该数据的副本的更新。 云类型用于定义共享数据的结构,可在更新共享数据时实现全自动冲突解决。 这些概念使移动设备(或其他可能定期脱机的计算设备)能够以提供本地数据副本进行脱机操作的方式在基于云的环境中共享结构化数据,同时保证数据副本最终保持一致的收敛。
    • 5. 发明授权
    • Eventually consistent storage and transactions in cloud based environment
    • 最终在云环境中存储和交易一致
    • US09436502B2
    • 2016-09-06
    • US13530661
    • 2012-06-22
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenManuel A. FahndrichBenjamin Paul Wood
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenManuel A. FahndrichBenjamin Paul Wood
    • G06F9/46G06F17/30
    • G06F9/466G06F17/30212G06F17/30371G06F17/30575Y10S707/99938Y10S707/99954
    • An “Eventually Consistent Sharing Model” provides various techniques for using “revision diagrams” to determine both arbitration and visibility of changes or updates to shared data (e.g., data, databases, lists, etc.) without requiring a causally consistent partial order for visibility, and without requiring change or update timestamps for arbitration. In particular, the Eventually Consistent Sharing Model provides fork-join automata based on revision diagrams to track the forking and joining of data versions, thereby tracking updates made to replicas of that data by one or more sources. “Cloud types” are used to define a structure of the shared data that enables fully automatic conflict resolution when updating the shared data. These concepts enable mobile devices (or other computing devices that may periodically go “offline”) to share structured data in cloud-based environments in a manner that provides local data replicas for offline operation while guaranteeing eventually consistent convergence of the data replicas.
    • “最终一致共享模型”提供了各种使用“修订图”来确定对共享数据(例如数据,数据库,列表等)进行更改或更新的仲裁和可见性的各种技术,而不需要因果关系一致的部分可见度 ,而不需要更改或更新仲裁的时间戳。 特别地,最终一致共享模型基于修订图提供叉连接自动机,以跟踪数据版本的分支和加入,从而跟踪由一个或多个源对该数据的副本的更新。 “云类型”用于定义共享数据的结构,以便在更新共享数据时实现全自动冲突解决。 这些概念使移动设备(或其他可能定期“离线”的计算设备)能够以提供本地数据副本进行脱机操作的方式在基于云的环境中共享结构化数据,同时保证数据副本最终保持一致的收敛。
    • 7. 发明申请
    • SHARING DATA AMONG CONCURRENT TASKS
    • 在同期任务中共享数据
    • US20120151495A1
    • 2012-06-14
    • US12965070
    • 2010-12-10
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenAlexandro Baldassin
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenAlexandro Baldassin
    • G06F9/46
    • G06F9/544G06F9/466G06F9/485G06F17/30168
    • A “Concurrent Sharing Model” provides a programming model based on revisions and isolation types for concurrent revisions of states, data, or variables shared between two or more concurrent tasks or programs. This model enables revisions of shared states, data, or variables to maintain determinacy despite nondeterministic scheduling between concurrent tasks or programs. More specifically, the Concurrent Sharing Model provides various techniques wherein shared states, data, or variables are conceptually replicated on forks, and only copied or written if necessary, then deterministically merged on joins such that concurrent tasks or programs can work with independent local copies of the shared states, data, or variables while ensuring automated conflict resolution. This model is applicable to a wide variety of system architectures, including applications that execute tasks on a CPU or GPU, applications that run, in full or in part, on multi-core processors without full shared-memory guarantees, and applications that run within cloud computing environments.
    • “并发共享模型”提供了基于修订和隔离类型的编程模型,用于在两个或多个并发任务或程序之间共享的状态,数据或变量的并发修订。 尽管在并发任务或程序之间进行了非确定性调度,但该模型可以修改共享状态,数据或变量来保持确定性。 更具体地说,并发共享模型提供了各种技术,其中共享状态,数据或变量在概念上被复制到叉上,并且仅在必要时被复制或写入,然后确定地合并在联接上,使得并发任务或程序可以与独立的本地副本 共享状态,数据或变量,同时确保自动解决冲突。 该模型适用于各种系统架构,包括在CPU或GPU上执行任务的应用程序,全部或部分运行在不具有完全共享内存保证的多核处理器上的应用程序,以及运行在 云计算环境。