Huawei Technologies Co., Limited

University of Toronto

Huawei Cloud Computing Technologies Co., Ltd.

Huawei Technologies Canada Co., Ltd.

Jin Chen

Chong Chen

Lei Guo

Baochun Li

Li Chen

Shuhao Liu

Chen Chen

Xiaodi Ke

Alexandre Depoutovitch

Shu Lin

Jack Ng

Chunsheng Sun

Methods, processing units, and computer-readable media in a cloud-based database are described. Redo log records are applied to a page at a database replica only when an updated version of the page is requested at the database replica. A log cache may be used by a replica node of the database to track recent redo log records applicable to a given page. The recent redo log records stored in the log cache may be applied to update the page on-demand when an updated version of the page is requested. By applying only the redo log records applicable to pages that are currently being requested, processing resources may be used only to generate pages that are currently required. Methods for registering redo log records into the log cache by the master or replica server are also described.

Method, apparatus and medium for data synchronization between cloud database nodes

Methods and apparatuses in a cloud-based database management system are described. Data in a database are stored in a plurality of pages in a page store of the database. A plurality of redo log records are received to be applied to the database. The redo log records within a predefined boundary are parsed to determine, for each given redo log record, a corresponding page to which the given log record is to be applied. The redo log records are reordered by corresponding page. The reordered redo log records are stored to be applied to the page store of the database.

Methods and apparatuses for generating redo records for cloud-based database

A method for managing file system replication can include: collecting event data associated with file system events, each of the file system events indicative of a modification of at least one file at a first file system location; for each of the file system events, generating at least one file system action to apply the modification of the at least one file at the first file system location to at least one corresponding file at a second file system location; storing the at least one generated file system action in an action buffer; identifying dependencies between file system actions in the action buffer; and scheduling the file system actions in the action buffer for execution based on the dependencies.

Systems, devices and methods for managing file system replication

Methods and systems for data communication in a distributed computing environment include: providing a first network node associated with a first data processing location, the first network node providing provide a network interface for a first distributed computing node at the first data processing location; and forwarding task data flow messages from the first distributed computing node to a second distributed computing node at a second data processing location via a second network node associated with the second data processing location.

System and method for inter-datacenter communication

The present disclosure is drawn to methods and systems for resource enforcement in a distributed system. At least one first host of the system has an enforcement agent configured to trigger a master enforcement controller in response to the first host running a task requiring access to a distributed resource. The master enforcement controller obtains identification information regarding the distributed resource and transmits an enforcement command to other hosts of the distributed system involved in providing the distributed resource. The enforcement command is received by enforcement agents on each of the involved hosts and triggers a slave enforcement controller on each of the involved hosts. The slave enforcement controllers locally enforce a resource quota for the distributed resource.

Distributed resource management method and system

Methods and systems for scheduling jobs in a distributed computing environment include: obtaining a set of task identifiers, each task identifier identifying a corresponding data processing task included in one of a plurality of jobs to be scheduled for execution at one of a plurality of data processing locations; and selecting and scheduling a data processing task of the identified job having a longest optimal completion time to the data processing location corresponding to the optimal completion time of the selected data processing task.

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Thornhill, Canada

Jin Chen