CN103533023A - Cloud service application cluster synchronization system and synchronization method based on cloud service characteristics - Google Patents

Cloud service application cluster synchronization system and synchronization method based on cloud service characteristics Download PDF

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CN103533023A
CN103533023A CN201310315791.2A CN201310315791A CN103533023A CN 103533023 A CN103533023 A CN 103533023A CN 201310315791 A CN201310315791 A CN 201310315791A CN 103533023 A CN103533023 A CN 103533023A
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data
application
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service
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CN103533023B (en
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钟冰
许晓鲁
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上海和辰信息技术有限公司
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Abstract

Provided is a cloud service application cluster synchronization system and method based on cloud service characteristics. The method comprises that: a large-scale distributed type database DBRange management center is provided; as cloud application service centers acting as units, characteristics of cloud application services and data of the center are put together and managed, characteristic information in the units is managed according to behaviors of the cloud application characteristics, and association relations among all cloud application service centers are established; timely updated data information of the cloud application service centers is received, associated other cloud application service center information is found according to the association relations pre-stored in cloud application business management units, and the cloud application service centers or the associated cloud application service centers with updated data are notified; and when the associated cloud application service centers issued by the DBRange management center are received, the related information with updated data is sent to the corresponding cloud application service centers, or when the cloud application service centers which are issued by the DBRange management center and provided with updated data are received, data interaction is established with the cloud application service centers so that the currently updated data are acquired.

Description

基于云服务特征的云服务应用集群同步系统及同步方法 Cloud Services Application Clusters synchronization system and service features of the cloud-based synchronization method

技术领域 FIELD

[0001] 本发明涉及一种云计算领域,特别涉及一种基于云服务特征的云服务应用集群同步系统及同步方法。 [0001] The present invention relates to a cloud, and in particular relates to cloud services application cluster synchronization system and method for synchronizing cloud-based service features.

[0002] [0002]

背景技术 Background technique

[0003] 云存储是在云计算概念上延伸和发展出来的一个新概念。 [0003] Cloud storage is a new concept and extending in the cloud developed concept. 是指通过集群应用、网格技术或分布式文件系统等功能,将网络中大量各种不同类型的存储设备通过应用软件集合起来协同工作,工人同对外提供数据存储和业务访问功能的一个系统。 Refers to clustering applications, grid technology and distributed file systems and other functions, the network in a large variety of different types of storage devices through a collection of software applications to work together, to provide workers with the external data storage and access functions of a business system. 当云计算系统运算和处理的核心是大量数据的存储和管理时,云计算系统中就需要配置在量的存储设备,那么云计算系统就转变成一个云存储系统,所述云存储是一个以数据存储和管理为核心的云计算系统。 When the cloud computing and processing the core system is the large number of data storage and management, the cloud computing system needs to be configured in the amount of a storage device, a cloud computing system is transformed into a cloud storage system to the cloud storage is a data storage and management as the core of the cloud computing system.

[0004] 从云存储的概念及目前应用来看,其本质是向用户提供一种透明的网络存储服务。 [0004] from the current concept of cloud storage and application point of view, its essence is to provide a transparent network storage services to users. 用户服务只要连接进入互联网,即可享受网络存储服务-随时随地的管理其所存储的数据,就如同这些数据存储在本地一样;同时用户可以方便将存储在云存储的数据与其他用户共享。 Just connect the service user access to the Internet, you can enjoy network storage services - its stored data management anytime, anywhere, as if the same data is stored locally; at the same time the user can easily be shared with other user data stored in the cloud storage. 因此如何实现在任意网络接入点方便快捷的读取数据,同时保证数据的保密性、完整性成为云存储技术的关键。 Therefore, how to implement network access point at any convenient read data, while maintaining confidentiality of data, the integrity of the key cloud storage technology.

[0005] 在申请号为201110103409.2、发明名称为云存储分割与备份数据的方法及装置的专利中,公开了云存储分割与备份数据的方法及装置,其设计思路是通过改变以往将数据完整的保存在同一物理存储设备上的做法,而采用将数据分割为若干数据段保存每段的校验信息,再将每一数据段再复制若干副本,将这些数据段副本分别保存在不同的物理存储设备上。 [0005] Application No. 201110103409.2, entitled patent a method and apparatus of the cloud storage segmentation and the backup data, a method and apparatus for cloud storage segmentation and backup data, the design idea is by changing the conventional data complete saving practices on the same physical storage device, while the use of the data segment data into a plurality of parity information stored for each segment, each segment and then again several copies of replication, a copy of these data segments are stored in different physical storage on the device. 即对完整数据进行有限、可控的分割与备份,数据分割片为多少片段、每一片段有多少副本都依据对数据保密性、完整性、可用性的要求高、底来决定。 I.e. on full data limited, controllable dividing backup, how many data segments divided piece, the number of copies of each segment are based on the confidentiality of data, high integrity, availability requirements, the bottom is determined. 合并完整数据时,将通过校验的数据片段副本重新合并即可。 When the complete data merging, can re-combined by a copy of a data segment checksum.

[0006] 这种设计的确能够解决数据分割和存储的一些问题。 [0006] This design can indeed solve some of the problems segmentation and data storage. 但是,大规模云计算应用数据规模的快速增长,从原有的每日GB级数据增长膨胀到TB级,甚至PB级,如何实现大规模用户对大规模数据的实时高效的访问,如何保障云应用服务的连续性、可靠性、稳定性和满足SLA的服务满意度指标,已经成为大规模云计算应用平台面临且迫切需要解决的问题。 However, the rapid growth of large-scale cloud computing applications, data size, expansion from the original daily level data growth to TB GB level, even PB level, how to achieve efficient real-time access to large-scale users to large-scale data, how to protect the cloud continuity of service, reliability, stability, and meet SLA service satisfaction index, has become a large-scale cloud computing and application platform facing the urgent need to address the problem.

[0007] 另外,云服务提供多种不同的应用,我们称之为云应用服务平台或云计算服务平台。 [0007] In addition, cloud services offer a variety of different applications, we call cloud application platform services, or cloud computing services platform. 比如,云邮箱服务平台、移动办公云服务平台等。 For example, cloud mail services platform, mobile office cloud services platform. 目前,各个云应用服务平台或云计算服务平台之间通常不进行数据同步工作的。 Currently, among the various cloud application platform services or cloud services platform for data synchronization generally it does not work. 比如,移动办公云服务平台更改了某些数据(t匕如,联系人的联系电话发生变化),移动办公云服务平台不会主动将更改后的数据发送至云邮箱服务平台,云邮箱服务平台的联系人联系电话还是老的数据,存在同步性差的问题。 For example, the mobile office cloud services platform to change some data (t such as dagger, contact telephone number changes), mobile office cloud services platform will not take the initiative to send the changed data to the cloud mail service platform, cloud services platform mailbox contact telephone or old data synchronization problem of poor exist.

[0008] 在申请号为201210393339.3中公开一种云管理平台和云平台间数据同步的方法,其步骤:云管理平台在启动时向云平台获取全部数据,更新到云管理平台的数据库并存放在内存中的比较数据库;云管理平台每隔时间Y向云平台获取数据存放到内存中;当云管理平台第N次向云平台获取数据时,其中N*Y>X,云管理平台开始同步数据;当内存中的比较数据库与当前获取的数实时据不一致时,将当前获取的实时数据放入更新队列;云管理平台将更新队列中实时数据更新到云管理平台的数据库中,云管理平台将次数N清零,并将当前获取的实时数据存放到内存中。 [0008] Application No. internet cloud management method for inter-platform data synchronization and cloud 201210393339.3 disclosed, comprising the steps: cloud management platform to obtain all data starting at the cloud platform, the database is updated and stored in the cloud management platform Comparative database memory; Y cloud management platform to obtain every time internet cloud data stored in memory; and when the cloud management platform to obtain data of N times the cloud platform, where N * Y> X, the cloud management platform synchronization data starts ; when the number of real-time data inconsistencies in-memory database and compare the currently acquired, the current acquisition of real-time data into the update queue; cloud management platform will be updated in real-time data to update the queue database cloud management platform, the cloud management platform the number N is cleared, stored and current acquiring real-time data into memory. 该法是一种高效可行的方法,能够减少云管理平台的工作量。 This is an efficient and feasible method, capable of reducing the workload of the cloud management platform.

[0009] 这种云管理平台来管理并同步云应用服务平台或云计算服务平台的数据,虽然能达到比较好的同步效果。 [0009] This cloud management platform to manage and synchronize application data cloud service platform or cloud computing services platform, although to achieve a better synchronization effect. 但是,以一个云邮箱服务平台来说,有可能会涉及到邮箱数据、邮件数据是极度庞大的,如果仅同步某一部分数据,则云管理平台可以将该部分数据存储在本端的数据库,然后更新相关其它云应用服务平台或云计算服务平台,但是如果同步该些涉及到的所有或绝大部分数据,对于云管理平台来说,需要一个极其庞大的数据库来存储这些预同步的数据,这就导致了整个同步的成本极其高,而且,数据量越大,同步的效率越低。 However, in order to mail a cloud services platform, there may be related to mailbox data, mail data is extremely huge, if only a certain part of sync data, the cloud management platform may be the end of this part of the data stored in the database, and then update other related cloud application platform services, or cloud computing services platform, but if all or substantially all of these synchronization of the data involved, for cloud management platform, the need for a very large database to store these pre-data synchronization, which It resulted in very high overall cost of synchronization, and the greater the amount of data, the lower the efficiency of synchronization.

[0010] 另外,数据同步需要涉及到各个云应用服务平台或云计算服务平台之间的数据关系,什么数据是相关联的,是怎么样的一个关联关系等。 [0010] In addition, data synchronization needs to relate to various cloud services platform or application data relationships between cloud computing service platform, what data is associated with, is how a relationship and so on. 目前也没有给出一个比较行之有效的处理方式。 Currently it did not give a more effective approach.

[0011] 发明内容 [0011] SUMMARY OF THE INVENTION

本发明的第一目的在于提供一种基于云服务特征的云服务应用集群同步系统,以解决现有同步效率低的技术问题。 The first object of the present invention is to provide a cloud-based service application cluster synchronization system cloud service features to solve the low efficiency of the prior art synchronization problems.

[0012] 基于云服务特征的云服务应用集群同步系统,若干云客户端、若干云应用服务中心和至少一个大规模分布式数据库DBRange管理中心, [0012] cloud-based service features cloud services Application Clusters synchronization system, a number of cloud-client, cloud applications a number of service centers and at least one large-scale distributed database DBRange management center,

大规模分布式数据库DBRange管理中心进一步包括:云应用业务管理单元、云应用特征行为管理单元、实时数据处理平台,其中: DBRange large-scale distributed database management center further includes: cloud applications business unit management, cloud application feature behavior management unit, real-time data processing platform, including:

云应用特征行为管理单元:以云应用服务中心为单元对本中心的云应用服务及数据的特征进行归总管理; Cloud Application characteristic behavior management unit: cloud application service center as the service application unit, and wherein the cloud data center is present the summary management;

云应用业务管理单元:与云应用特征行为管理单元进行连接,根据所述云应用特征行为管理单元中的特征信息,建立各个云应用服务中心之间的关联关系; Cloud application service management unit: cloud application connected to the characteristic behavior management unit, according to characteristic information to the characteristic behavior of cloud application management unit, to establish the association between each cloud application service center;

实时数据处理平台:用于接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心; Real-time data processing platform: a cloud application service center to receive timely updated data, according to the association cloud application service management unit stored in advance to find other cloud application service center associated information, and notify the updated data cloud application services center or associated cloud application service center;

云应用服务中心至少包括应用服务单元、DBRange数据交互单元、集群节点间数据同步单元; Cloud application service center including at least inter-application service unit, data exchange unit dBRANGE cluster node data synchronization unit;

应用服务单元:用于提供面向云客户端服务使用能力; Application Service Element: means for providing for the ability to use services Cloud Client;

DBRange数据交互单元:用于将更新数据信息发送至一个大规模分布式数据库DBRange管理中心,当接收到所述DBRange管理中心下发的相关联的云应用服务中心时,将更新数据的相关信息发送至对应的云应用服务中心,或者当接收到所述DBRange管理中心下发的更新数据的云应用服务中心时与该云应用服务中心建立数据交互获得当前更新的数据。 DBRange data interaction unit: for transmitting data to update a database DBRange large scale distributed management center, when receiving the issued management center associated DBRange cloud application service center, the transmitted data update information to the corresponding cloud application service center, or when receiving the update data issued under the management center DBRange cloud application data exchange with the service center to establish the cloud application service center to get current updated data.

[0013] 较佳地,实时数据处理平台进一步还包括云服务数据智能分割引擎、分布式云服务数据库关系管理单元: 云服务数据智能分割引擎,接收和处理云服务集群实时反馈提交的各种云应用特征数据信息和数据信息,基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,将一个大数据表分割存储在不同的小数据表中; [0013] Preferably, the real-time data processing platform further comprises a further data intelligent segmentation engine cloud services, cloud service distributed database management unit: cloud data intelligent segmentation engine service, cloud service to receive and process real-time feedback cluster submitted various cloud application feature data and data information, user data based on the data characteristics and features of the various applications and services cloud analysis, large tables performance bottlenecks will occur dividing constraints, a large data table stored in a different division of the small data table;

分布式云服务数据库关系管理单元:在记录数据分割关系表中记录云服务数据智能分割引擎进行的数据分割关系和变化情况。 Distributed database cloud service management unit: In recording data in relational tables divided recording data in the cloud services data intelligent segmentation engine division and relationship changes.

[0014] 较佳地,实时数据处理平台还包括: [0014] Preferably, the real-time data processing platform further comprises:

更新单元:直接将更新数据从DBRange管理中心更新至相关联的云应用服务中心。 Update unit: updated data updates directly from DBRange management center associated to a cloud application service center.

[0015] 较佳地,云应用服务中心还包括数据同步日志管理单元,用于提供日志记录行为或命令记录。 [0015] Preferably, the cloud application service center further comprises a data synchronization log management unit, for providing a logging action or command history.

[0016] 本发明还提供了一种基于云服务特征的云服务应用集群同步方法,包括以下步骤: [0016] The present invention further provides a method for synchronizing cloud service cloud-based service application cluster features, comprising the steps of:

提供大规模分布式数据库DBRange管理中心:以云应用服务中心为单元对本中心的云应用服务及数据的特征进行归总管理,并根据所述云应用特征行为管理单元中的特征信息,建立各个云应用服务中心之间的关联关系; Provide large-scale distributed databases DBRange Manager: cloud application service center for the management of the summary, and wherein the application service cloud data center is present as a unit, according to characteristic information and the characteristic behavior of the cloud application management units, each cloud establish relationship between the application service center;

接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心; Receiving cloud application service center to update the data, according to the link cloud application service management unit stored in advance, to find other cloud application service center associated information, and notifies the update data cloud application service center or cloud associated with the application Service Center;

接收到所述DBRange管理中心下发的相关联的云应用服务中心时,将更新数据的相关信息发送至对应的云应用服务中心,或者当接收到所述DBRange管理中心下发的更新数据的云应用服务中心时与该云应用服务中心建立数据交互获得当前更新的数据。 Upon receiving the issued under the management center associated DBRange cloud application service center, the updated information is sent to the data cloud corresponding cloud application service center, or when the update data is sent to the reception management center DBRange establish data exchange to obtain data for the current update of the application service center to the cloud application service center.

[0017] 较佳地,接收云应用服务中心及时接收各种云应用特征数据信息和数据信更新的数据信息,所述DBRange管理中心更新数据表; [0017] Preferably, the cloud application service center receives timely receive various features cloud application data information and the data channel data update information, the update data table DBRange management center;

所述DBRange管理中心基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,将一个大数据表分割存储在不同的小数据表中; The DBRange management center and user data based on data characteristic features of the various applications and services cloud analysis, large tables performance bottlenecks will occur dividing constraints, a large data table stored in a different division of the small data table;

所述DBRange管理中心在记录数据分割关系表中记录云服务数据智能分割引擎进行的数据分割关系和变化情况。 The DBRange management center division record relationship table intelligent cloud services data segmentation engine is data partitioning relationships and changes in the recorded data.

[0018] 较佳地,将出现性能瓶颈约束的大数据表进行分割进一步包括: [0018] Preferably, the performance bottleneck constraints large tables divided further comprising:

预先设定多个云应用或服务的数据库规模或数据表达到一定性能指标阀值; Expression preset multiple cloud service application or database data to a certain size or performance thresholds;

所述DBRange管理中心查找数据分割关系表获得各个数据表信息,再判断数据库规模或数据表达是否达到一定性能指标阀值,若是才进行分割。 The DBRange Manager checks each data partition table obtain the data table information, and then determine the size of the database or whether the expression data reaches a certain performance threshold, if it is divided.

[0019] 并且,所述DBRange管理中心直接将所要更新的数据下发至各个相关联的云应用服务中心。 [0019] Further, the management center under the DBRange directly transmits the data to be updated to the respective associated cloud application service center.

[0020] 与现有技术相比,本发明具有以下的优点: [0020] Compared with the prior art, the present invention has the following advantages:

本发明可以预先对各个云服务的特征点进行划分,并预先保存它们之间的关联关系,当某一些数据发生变化时,可以通过云服务之间的关联关系找到对应相关联的云服务,并将发生变化的数据发送至关联的云服务,以便其及时更新,本发明的方案简单,同步效率闻。 The present invention may be previously feature point cloud each service is divided and stored in advance the relationships between them, when some of the data changes, the associated service can be found in the corresponding cloud by cloud association between the service and the data sent to the changes associated with cloud services, in order to update its program of the present invention is simple, efficient synchronization smell.

[0021] 本发明还可以及时更新云服务的特征点,并更新对应的关联关系,做到当前的关联关系为动态的,实时更新的,以提闻其准确率。 [0021] The features of the present invention can update a cloud service, and updates the corresponding relationship, so that the current relationship is dynamically updated in real time to provide audible its accuracy. [0022] 本发明还可以对数据预先进行分割,这样保存数据非常方便,并且使得数据访问的访问效率一直处于最佳状态,这样,也使得在大规模分布式数据库DBRange管理中心保存大量数据有了可能,当有数据需要进行更新时,DBRange管理中心可以第一时间把数据给至预更新的相关联的云服务,效率高且方便。 [0022] The present invention may also be pre-divided data, the data so stored is very convenient, and makes access to the data access efficiency is always in the best condition, so that also stored in large-scale distributed databases have large amounts of data management center DBRange may, when data needs to be updated, dBRange management center may be the first time to the pre-update data to the cloud associated with the service, efficient and convenient.

附图说明 BRIEF DESCRIPTION

[0023] 图1为本发明基于云服务特征的云服务应用集群同步系统的一实施例的原理示意图; The principles of an embodiment of [0023] FIG 1 cloud service application cluster synchronization system cloud-based service features of the present invention, a schematic diagram;

图2为云应用服务中心的原理结构示意图。 FIG 2 is a schematic view of the principle of application service center of the cloud.

具体实施方式 Detailed ways

[0024] 以下结合附图,具体说明本发明。 [0024] in conjunction with the following drawings, detailed description of the present invention.

[0025] 请参阅图1,本发明基于云服务特征的云服务应用集群同步系统,即基于DBRange的大规模分布式数据库分割平台架构由云客户端4、云应用服务中心、大规模分布式数据库DBRange管理中心I三个层次组成。 [0025] Referring to FIG. 1, the present invention is a cloud-based service features cloud service application cluster synchronization system, i.e., large-scale distributed database based DBRange split platform architecture 4, cloud application service center, large-scale distributed databases by the Cloud Client DBRange management Center I three levels.

[0026] 云客户端4是指使用云应用服务的各种智能终端设备,包括但不限于PC、笔记本、智能手机等,用户通过这些设备来使用云应用服务。 [0026] Cloud Client 4 refers to various devices using a cloud intelligent terminal applications and services, including but not limited to PC, notebook, smart phones, users use the application service cloud through these devices.

[0027] 云应用服务中心,是一组具备提供云客户端使用某种或多种类型云应用服务能力的中心服务器群,这个服务器群组架设有服务于云应用服务的数据库系统和其它系统服务组件,相比常规的云应用服务器群来说,除能提供云客户端的云应用服务能力外,还通过与DBRange管理中心的通讯来进一步优化提供云服务中心节点间的数据同步和服务能力,云应用服务中心将云客户端的应用或数据请求特征数据提交到DBRange管理中心,DBRange管理中心通过对用户历史和当前行为数据分析,将智能决策结果推送到云应用服务节点,云应用服务节点获取决策和授权后与其它云应用服务节点进行必要的数据同步来进一步优化云客户端应用体验。 [0027] Cloud application service center, is provided with a set of cloud clients use some type of cloud or more application service center server cluster capacity, this server has a service group database system set up cloud applications and services, and other system services assembly, compared to conventional cloud applications for server farms, in addition to cloud applications cloud service capabilities can provide clients, but also provides data between cloud node synchronization service centers and service capabilities through the cloud to further optimize communications management center and DBRange application service center cloud client applications or data requested feature data submitted to the dBRange management center, dBRange management center through the user history and current behavior data analysis, smart decision-making result pushed to the cloud application service node, a cloud application service node acquisition decisions and cloud synchronization to further optimize client application experience necessary data with other cloud application service node after authorization. 在本实例中,云应用服务中心给出了云应用服务端A 2和云应用服务端B 3两个中心来举例说明。 In the present example, cloud application service center gives the cloud application server A 2 and B 3 cloud application server illustrate two centers. 但需要说明的是,这仅是举例,并非用来局限本发明。 But it should be noted that this is only by way of example, not intended to limit the invention.

[0028] 基于DBRange的大规模分布式数据库管理中心1,核心依赖于对云应用服务的特征智能分析,在数据库规模或数据表达到一定的性能指标阀值时,将多个云应用或服务的大规模数据按照数据的特征进行分割,常用的特征包含但不限于地理位置、操作时间、用户、云应用或服务间关系,通过分割可以让这些数据表或数据库满足性能阀值约束要求。 [0028] Based on large-scale distributed database management center DBRange 1, the core depends on the characteristics of intelligent cloud applications and services analysis, when expressed to a certain performance thresholds in a database or data scale, multiple cloud applications or services scale data is divided in accordance with the characteristic data, common features include, but are not limited to, inter-location, hours of operation, the user, application or service cloud relationship, so that these data can be obtained by dividing a table or database to meet the performance requirements of the threshold constraint. 特别是对云应用服务端A 2和云应用服务端B 3要进行某些智能控制时,通过实时获取云应用服务端A 2和云应用服务端B 3的更新数据或实时处理数据,进行分析,可方便管理和监控,也可以进一步指导、监控或控制云应用服务端A 2和云应用服务端B 3端的智能服务。 Especially cloud application server A 2 and B 3 cloud application server to perform certain intelligent control, real-time access by the cloud application server A 2 and B a cloud application server 3 updates the data or real-time data processing, analysis , easy management and monitoring, may further guidance, to monitor or control the cloud application server a 2 and B 3 cloud application server end intelligent services. 比如,云应用服务端A 2提供企业邮件服务,则当某一企业邮件的处理数据达到某一阀值时,大规模分布式数据库管理中心可以监控到该种情况,可建议或监控云应用服务端A 2进行邮箱或邮件优化,提升邮件处理的数据。 For example, cloud application server A 2 provides enterprise mail service, then when processing data for a corporate e-mail reaches a certain threshold, large-scale distributed database management center can monitor the case, it may recommend or monitor cloud applications and services a 2 end optimized for mailbox or mail, the mail improve data processing.

[0029] 还请参阅图1,大规模分布式数据库DBRange管理中心主要包括:云应用业务管理管理单元11、云应用特征行为管理单元13、和实时数据处理平台。 [0029] Also see Figure 1, large-scale distributed database DBRange Management Center include: cloud application management unit 11 service management, cloud application feature behavior management unit 13, and real-time data processing platform. 实时数据处理平台进一步包括云服务数据智能分割引擎12、分布式云服务数据库关系管理单元14。 Real-time data processing platform includes a cloud services further segmentation data intelligence engine 12, distributed cloud service database management unit 14. 大规模分布式数据库DBRange管理中心一般还包括一些数据库服务器等,在此就省略不叙述。 DBRange large-scale distributed database management center generally also includes a database server, it is omitted in this description.

[0030] 云应用特征行为管理单元13:定义数据库分割的参照特征约束,包括但不限于地理位置、时间维度、用户属性、企业属性、云应用服务属性等,对各种云应用服务和数据的特征进行集中管理和维护。 [0030] Cloud application feature management unit 13 acts: dividing a reference database features defined constraints, including but not limited to location, time dimension, user attributes, business attributes, service attributes cloud applications, and various data application services cloud feature centralized management and maintenance. 也就是说,对每个云应用服务中心包括云应用服务、涉及数据进行参照特征的分割,并按照分割分的参照特征来进行归总。 That is, for each cloud application service center includes a cloud application services, data directed to the divided reference characteristics, and in accordance with the reference feature points to split the summary. 云应用特征行为管理单元13获得一个云应用服务时,主要以这几个方面进行参照特征的获取:网络和云应用属性的特征提取、云应用服务特征的提取、云应用数据的特征提取。 Application of behavioral characteristics of the cloud management unit 13 obtains a cloud service application, with reference to mainly these features to obtain aspects: characteristics of the network and application attribute extraction cloud, cloud application service feature extraction, feature extraction cloud application data. 网络和云应用属性的特征提取包括地理位置信息、时间维度信息、IP地址信息、云应用涉及到的客户信息、云应用属性等,云应用服务特征的提取进一步可以包括服务特征点的罗列,云应用数据的特征提取包括云应用数据涉及到的共性数据特征点。 Networking features and attributes extracted cloud applications include geographical location information, time dimension information, IP address information, the cloud application related to customer information, application properties like cloud, cloud application service feature extraction may further comprise a list of service feature point clouds wherein the application data includes extracting the common feature point cloud data related to the application data. 云应用特征行为管理单元获得该些数据特征及对应的描述,当一旦云应用服务中心有相关特征进行更改时,可以及时更新。 Cloud application management unit obtains the characteristic behavior of these feature data and the corresponding description, when a cloud application service center once the relevant characteristics change, can be updated in time. 云应用特征行为管理单元可以以表格的形式保存每个云应用服务中心所涉及到的相关所有参照特征。 Cloud Application Management feature behavior unit can store all the relevant reference to the characteristics of each cloud application service center involved in table format. 而且,根据每个云应用服务中心的具体属性可以按照预先设定的规定来进行特征的提取,并保存至对应的表格中。 Further, the attribute can be performed according to each particular application cloud service center in accordance with a predetermined feature extraction, and saved to the corresponding table.

[0031] 云应用业务管理单元11:与云应用特征行为管理单元13进行连接,根据所述云应用特征行为管理单元中的特征信息,建立各个云应用服务中心之间的关联关系。 [0031] The management unit 11 service cloud application: Application of behavioral characteristics and cloud connection management unit 13, the feature information of the feature application cloud behavior management unit, to establish the association between each cloud application service center. 云应用业务管理单元11的关联关系的建立可以分为两部分,一部分是根据每个云应用服务中心表格中对应的字段所表示的含义自动建议关联关系,比如,相同的IP地址等。 Establishing association cloud application service management unit 11 can be divided into two parts, automatic association according to the meaning of each recommended application service center cloud corresponding field in the table indicates, for example, the same IP address. 另一部分是可以通过人工进行二次关联,提高关联率。 Another part may be made by associating the secondary labor, improve the rate of association. 以上仅是举例说明,并非是局限,可是只通过自动匹配的方式来进行关联,也可以仅通过人工匹配的方式来进行关联。 The above is illustrative only and is not a limitation, but only to associate through automatic matching, may be associated with only by way of doing matched.

[0032] 云应用业务管理单元访问云应用特征行为管理单元13保存的每个云应用服务中心所涉及到的相关所有参照特征,比如,某些云应用服务中心都涉及到联系人信息(联系人名称、联系人邮箱、联系人职业、职系人电话等)这几个特征信息,而且该用户的标识信息(用户的身份信息、联系信息等)存在相同或相关,即可以建立该些云应用服务中心针对该用户的联系人信息的关联。 [0032] access cloud applications cloud application service management unit characteristic behavior management unit 13 saved each cloud application service center involved all the relevant reference features, for example, some cloud application service center are related to the contact information (contact ) these feature information name, contact email, contact, occupation, telephone people and other grades, and identification information (user's identity information, contact information, etc.) the presence of the same or related user that can create some of the cloud application associated with the service center for the user's contact information.

[0033] 各个云应用服务中心之间的关联关系可以预先建立,在同步时进行验证,若某些云应用服务中心的关联关系建立出错,则可以反过来取消预先设置的关联关系。 [0033] relationship between the various cloud application service center can be established in advance, validate during synchronization, if the relationship some cloud application service center to establish an error, you can turn disassociate relationship set in advance. 当某些应该建立的关联关系未建立,则同步时某些数据就不能达到及时同步,可通过人工方式更改云应用业务管理单元相关的数据库信息,以建立对应的关联关系。 When some of the relationship should be established not established, some of the data synchronization can not be reached in time synchronization, you can change the relevant database information service cloud application management unit by artificial means, to establish the corresponding relationship. 也就是说,云应用业务管理单元建立的各个云应用服务中心之间的关联关系是动态的,可随着各个云应用服务的数据或设计变化,及时更改的。 That is, the relationship between cloud application service management unit established in each cloud application service center is dynamic and may change as design data or individual cloud applications and services, and timely change.

[0034] 实时数据处理平台:用于接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心。 [0034] The real-time data processing platform: means for receiving the application service center to update a cloud of data information according to the link management unit cloud application services stored in advance to find other cloud applications associated information service center, and notifies the update data cloud application service center or associated cloud application service center.

[0035] 当云应用服务中心某些特征发生改变时,也会通知大规模分布式数据库DBRange管理中心I。 [0035] When a cloud application service center features some changes, will notice a large-scale distributed database management center DBRange I. 云应用业务管理管理单元11和云应用特征行为管理单元13获得某些特征变化后,及时调整特征库或对应的关联关系,以保证当前的云应用业务管理管理单元11和云应用特征行为管理单元13中的特征信息及关联关系是最新的。 After cloud application management service cloud application management unit 11 and management unit 13 obtains feature behavior changes in certain characteristics, to adjust the relationship database or corresponding features to ensure that the current cloud service management application management unit 11 and the characteristic behavior of a cloud application management unit feature information and relationships in the 13 to date.

[0036] 当云应用服务中心的数据信息发生变化时,可以直接将发生变化的数据发送至大规模分布式数据库DBRange管理中心1,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心。 [0036] When the data application service center of the cloud changes, data may be directly transmitted to the large-scale changes in the distributed database occurs DBRange management center 1, according to the link management unit in the service cloud application stored beforehand, to find the associated other cloud application service center information, and notify the updated data center or cloud application service associated with the cloud application service center. 一种方案是云应用服务中心直接进行数据同步交互,另一种方案时,大规模分布式数据库DBRange管理中心I直接将各个相关联云应用服务中心所涉及到的预更新的数据发送到各自相关联的云应用服务中心。 One solution is a cloud application service center directly interact with data synchronization, when another program, large-scale distributed database management center DBRange I directly associated with each cloud application service center sent to the pre-update data related to each involved with cloud application service center.

[0037] 云应用服务中心的数据信息发生变化,且变化的数据量非常庞大时,本发明也可以仅将涉及到的特征点信息发送至大规模分布式数据库DBRange管理中心1,不需要把整个数据发送至大规模分布式数据库DBRange管理中心1,这样就避免大量数据网络的传输,提高了网络传输的效率,也不需要占用过多的网络资源。 [0037] The application service cloud data center is changed, and when the data amount is very large, the present invention may transmit only information related to the feature point to large-scale distributed databases DBRange management center 1, does not require the entire data is sent to large-scale distributed database management center DBRange 1, thus avoiding a large amount of data transmission network and improve the efficiency of the transmission network and does not require excessive network resources. 大规模分布式数据库DBRange管理中心I只需要该些特征点涉及到的各自相关的云应用服务中心信息信息发送至该数据信息发化的云应用服务中心。 Distributed Database Manager DBRange scale only I and the feature point related to the respective associated cloud application service center transmits information to send the data application service center of the cloud. 云应用服务中心即可将特征点涉及到的变化数据信息直接发送到各自对应相关的云应用服务中心。 Cloud application service center to the feature point data related to the change in the corresponding information directly related to the respective application service center cloud.

[0038] 实时数据处理平台除了包括实时数据处理单元之外,还可以包括云服务数据智能分割引擎12、分布式云服务数据库关系管理单元14: [0038] In addition to real-time data processing platform including real-time data processing unit, it can also include intelligent cloud services data segmentation engine 12, distributed cloud service database management unit 14:

实时数据处理单元:用于接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心。 Real-time data processing unit: cloud application service center for receiving a data update information, according to the link management unit cloud application services stored in advance to find other cloud application service center associated information, and notifies the update service cloud application data center or associated cloud application service center.

[0039] 云服务数据智能分割引擎12,接收和处理云服务集群实时反馈提交的各种云应用特征数据信息和数据信息,基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,将一个大数据表分割存储在不同的小数据表中; [0039] intelligent cloud services data segmentation engine 12, features a variety of cloud applications and data receiving and processing data information services cloud cluster real-time feedback submitted, based on the data characteristics and features of the various user data cloud application services analysis, performance will appear the bottleneck of large data table is divided, a large data table stored in a different division of the small data table;

也就是说云服务数据智能分割引擎12接收和处理云服务集群实时反馈提交的各种云应用特征数据信息和数据信息,基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,阀值约束包括但不限于数据表的大小,数据据记录的条数,用户的数量等,将一个大数据表通过智能分割规则分割存储在不同的小数据表中,同时在记录数据分割关系表中记录这种数据分割关系和变化。 That intelligent cloud services data segmentation engine 12 to receive and process real-time feedback clustered cloud services cloud applications submitted by the various data features information and data information, based on the data features and characteristics of user data analysis various cloud application services, there will be a performance bottleneck constraint dividing large tables, the constraint threshold including, but not limited to the size of the data table, according to the number of pieces of data, the number of users record, a large data table is divided by a smart splitting rule stored in different data tables small while dividing the record data recorded in this table and changes the data dividing relationship.

[0040] 分布式云服务数据库关系管理单元14,提供对所有DBRange管理中心管理云服务应用集群节点的集中管理和数据服务控制,通过用户特征数据和应用数据的智能分析,通知云应用服务集群节点进行必要的数据的数据同步操作。 [0040] Cloud services distributed database management unit 14, provides control of the centralized management of all DBRange Manage cloud cluster node service application and data services, through the user characteristic data and the intelligent data analysis application, notify the application service cloud cluster node the necessary data in the data synchronization. 当云应用服务中心的数据信息发生变化,且变化的数据量非常庞大时,本发明涉及到的特征点信息发送至大规模分布式数据库DBRange管理中心,若大规模分布式数据库DBRange管理中心需要进行对应表的数据更新时,先查询分布式云服务数据库关系管理单元14,通过分布式云服务数据库关系管理单元14可以获知该云应用服务中心存储的数据存储的地址、存储的规则(比如,存储在几张表内,每张表是以什么规则划分的)等,即可获知该些对应数据信息应存储的地址,进行存储更新。 When the amount of data information cloud application service center is changed, and the variation is very large, the present invention relates to the feature point information to the management center of mass DBRange distributed database, if the center of mass distributed database management required DBRange when the data corresponding to update the table, the first distributed cloud service queries the database management unit 14, through distributed cloud service database management unit 14 can learn the address data stored in the application service center of the cloud storage, storage rules (for example, storage within a few tables, each table is based on what the rules division), etc., you can learn some correspondence address of the data to be stored, store updates.

[0041] 一般在存储更新之前,本发明的一个比较大的特点是通过云服务数据智能分割引擎12判断当前更新的数据(如表)需不需要进行分割,在云服务数据智能分割引擎12中预先存储分割的规则,比如,数据表的记录不能超过约定的N条,再比如,数据表的存储量不能超过某一范围等等,如果需要分割,对其进行分割,并将分割后的表信息存储至分布式云服务数据库关系管理单元14,云服务数据智能分割引擎12的分割规则可以通过访问云应用特征行为管理单元13来进行制定规则,这种分割更为规则,其不容易出错,能达到云平台的最佳状态。 [0041] Before storing the updated general, a relatively large according to the invention is characterized by the segmentation engine 12 determines the cloud service data intelligent data (Table) or need for updating the current segmentation, the segmentation engine 12 in the cloud service data intelligent division rule stored in advance, for example, the database table can not exceed the N agreed, another example, the amount of stored data table can not exceed a certain range, etc., if necessary split, be divided, and the divided tables information stored in distributed cloud service database management unit 14, cloud service intelligent data segmentation rules engine 12 can access cloud applications feature behavior management unit 13 to rules, the rules of this division is more, it is not easy to make mistakes, You can achieve the best cloud platform.

[0042] 请参阅图2,其为云应用服务中心的一种原理结构示意图。 [0042] Please refer to FIG. 2, which is a structural principle diagram of a cloud application service center. 云应用服务中心主要包括云应用服务21、DBRange数据交互模块22、集群节点间数据同步模块23、数据同步日志管理模块24。 Cloud Application Services include cloud application services 21, 22 between cluster nodes DBRange data exchange module data synchronization module 23, data synchronization log management module 24.

[0043] 云应用服务21,提供面向云客户端服务使用能力,常见的云应用服务有:企业云邮局、IAAS云主机、企业云视频会议等。 [0043] 21 cloud application services, providing cloud-oriented client service ability to use common cloud application services include: Enterprise Cloud Post Office, IAAS cloud hosting, cloud video conferencing.

[0044] DBRange数据交互模块22,提供云应用集群节点与DBRange大规模数据库管理中心的通讯能力,将用户云应用服务的特征数据实时提交到DBRange分割引擎,同时接收DBRange中心的推送与其它云应用集群之间的数据同步命令或要求。 [0044] DBRange data exchange module 22, providing communications capabilities cloud application nodes and large-scale database management center DBRange cluster, will feature real-time data users submit cloud application services to DBRange segmentation engine, and receive push with other cloud-centric applications DBRange synchronizing data between the clusters order or request.

[0045] 集群节点间数据同步模块23,提供与其它云应用集群节点的数据同步和交互能力,实现云应用数据的快速分布式共享与使用。 Between [0045] the cluster node data synchronization module 23, provide cloud application data with other cluster node synchronization and interactivity, with the use of fast distributed shared cloud application data.

[0046] 数据同步日志管理模块24,提供日志记录行为或命令记录。 [0046] Data synchronization log management module 24, providing commands or logging behavior record.

[0047] 一种基于云服务特征的云服务应用集群同步方法,其包括: [0047] A cloud-based service features cloud service application cluster synchronization method, comprising:

步骤一:提供大规模分布式数据库DBRange管理中心:以在应用特征行为管理单元中以云应用服务中心为单元对本中心的云应用服务及数据的特征进行归总管理,并根据所述云应用特征行为管理单元中的特征信息,建立各个云应用服务中心之间的关联关系; Step one: provide large-scale distributed database DBRange Manager: Application of behavioral characteristics for snap application service center to a cloud to a cloud application service unit and wherein the data according to the summary of the management center, and wherein the cloud according to the application feature information behavior management unit, to establish relationships between the various cloud application service center;

步骤二:接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心;对每个云应用服务中心包括云应用服务、涉及数据进行参照特征的分割,并按照分割分的参照特征来进行归总;按照预先设定的参照特征的彼此相互关系,建立各个云应用服务中心之间的关联关系。 Step two: receiving a cloud application service center to update the data, according to the link cloud application service management unit stored in advance, to find other cloud application service center associated information, and notifies the update data cloud application service center or associated cloud application service center; cloud for each application service center includes a cloud service application, relates to reference characteristics data is divided and sub-divided in accordance with the reference characteristics of the summary is performed; each other according to a predetermined reference characteristics of the relationship, establish relationships between the various cloud application service center. 并且,及时更新特征及关联关系步骤三:接收到所述DBRange管理中心下发的相关联的云应用服务中心时,将更新数据的相关信息发送至对应的云应用服务中心,或者当接收到所述DBRange管理中心下发的更新数据的云应用服务中心时与该云应用服务中心建立数据交互获得当前更新的数据。 And, and characterized in association update Step Three: issued when receiving the management center associated DBRange cloud application service center to send information about the update data cloud corresponding to the application service center, or when receiving the issued by the management center said DBRange update data cloud application service center to establish data exchange to obtain the current update data when the cloud application service center.

[0048] 另外,为了提高集中管理的效率,本发明还可以包括: [0048] In order to improve the efficiency of centralized management, the present invention may further comprise:

接收云应用服务中心及时接收各种云应用特征数据信息和数据信更新的数据信息,所述DBRange管理中心更新数据表; Timely receiving cloud application service center receives various features cloud application data information and channel information data updating data, the update data table DBRange management center;

所述DBRange管理中心基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,将一个大数据表分割存储在不同的小数据表中;预先设定多个云应用或服务的数据库规模或数据表达到一定性能指标阀值;所述DBRange管理中心查找数据分割关系表获得各个数据表信息,再判断数据库规模或数据表达是否达到一定性能指标阀值,若是才进行分割。 The DBRange management center and user data based on data characteristic features of the various applications and services cloud analysis, large tables constraint performance bottlenecks will occur dividing, splitting a large data table is stored in the data table of different small; preset expressing a plurality of cloud application or database size or data services to a certain performance thresholds; DBRange Manager checks the data dividing each data table of the table information obtained, and then determines whether the size of the database or data expressing a certain performance thresholds, if it is divided.

[0049] 所述DBRange管理中心在记录数据分割关系表中记录云服务数据智能分割引擎进行的数据分割关系和变化情况。 [0049] The management center DBRange relationship table records the divided data intelligent service cloud data segmentation engine and dividing the change in the relationship between the recording data.

[0050] 所述DBRange管理中心直接将所要更新的数据下发至各个相关联的云应用服务中心。 [0050] The management center DBRange directly at the data to be updated is sent to the respective application associated with a cloud service center.

Claims (8)

1.基于云服务特征的云服务应用集群同步系统,其特征在于,若干云客户端、若干云应用服务中心和至少一个大规模分布式数据库DBRange管理中心, 大规模分布式数据库DBRange管理中心进一步包括:云应用业务管理单元、云应用特征行为管理单元、实时数据处理平台,其中: 云应用特征行为管理单元:以云应用服务中心为单元对本中心的云应用服务及数据的特征进行归总管理; 云应用业务管理单元:与云应用特征行为管理单元进行连接,根据所述云应用特征行为管理单元中的特征信息,建立各个云应用服务中心之间的关联关系; 实时数据处理平台:用于接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心; 云应用 1. The cloud-based service features cloud services Application Clusters synchronization system, comprising a number of cloud-client, cloud applications a number of service centers and at least one large-scale distributed database DBRange management center, large-scale distributed database management center further includes DBRange : cloud application service management unit, cloud application characteristic behavior management unit, real-time data processing platform, wherein: cloud application characteristic behavior management unit: cloud application service center for the summary management feature cloud application services and data according to the center as a unit; cloud application service management unit: cloud application connected to the characteristic behavior management unit, according to characteristic information to the characteristic behavior of cloud application management unit, to establish the association between each cloud application service center; real-time data processing platform: means for receiving cloud application service center to update the data, according to the association cloud application service management unit stored in advance to find other cloud application service center associated information, and notify the updated data cloud application service center or cloud application services associated centers; cloud applications 务中心至少包括应用服务单元、DBRange数据交互单元、集群节点间数据同步单元; 应用服务单元:用于提供面向云客户端服务使用能力; DBRange数据交互单元:用于将更新数据信息发送至一个大规模分布式数据库DBRange管理中心,当接收到所述DBRange管理中心下发的相关联的云应用服务中心时,将更新数据的相关信息发送至对应的云应用服务中心,或者当接收到所述DBRange管理中心下发的更新数据的云应用服务中心时与该云应用服务中心建立数据交互获得当前更新的数据。 Inter-service center comprises a service application unit dBRANGE data interaction unit, cluster nodes at least data synchronization unit; Application Service Element: means for providing for the ability to use services Cloud Client; dBRANGE data interaction unit: means for updating the data information to a large Scalable distributed database DBRange management center, when receiving the DBRange issued by the management center associated cloud application service center, the updated information is transmitted to the data cloud corresponding to the application service center, or when receiving the DBRange issued by the management of the data center cloud application update service center to establish data exchange to obtain the current update data when the cloud application service center.
2.如权利要求1所述的基于云服务特征的云服务应用集群同步系统,其特征在于,实时数据处理平台进一步还包括云服务数据智能分割引擎、分布式云服务数据库关系管理单元:` 云服务数据智能分割引擎,接收和处理云服务集群实时反馈提交的各种云应用特征数据信息和数据信息,基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,将一个大数据表分割存储在不同的小数据表中; 分布式云服务数据库关系管理单元:在记录数据分割关系表中记录云服务数据智能分割引擎进行的数据分割关系和变化情况。 2. The cloud-based service features cloud service application cluster synchronization system according to claim 1, wherein the real-time data processing platform further comprises a further data intelligent segmentation engine cloud services, cloud service distributed database management unit: cloud ' intelligent data segmentation engine service, reception and processing of cloud services cluster real-time feedback submitted by various cloud application feature data information and data information, based on the data features and characteristics of user data analysis various cloud application services, big data performance bottleneck constraints will appear table split, split a large table of data stored in different small data tables; distributed cloud database service management unit: segmentation data in a relational table cloud service record data intelligence engine division split relationships and changes in recording data .
3.如权利要求2所述的基于云服务特征的云服务应用集群同步系统,其特征在于,实时数据处理平台还包括: 更新单元:直接将更新数据从DBRange管理中心更新至相关联的云应用服务中心。 3. The cloud-based service features cloud service application cluster synchronization system according to claim 2, characterized in that the real-time data processing platform further comprises: an update unit: updating the update data directly from the management center to the cloud DBRange associated application Service Center.
4.如权利要求1所述的基于云服务特征的云服务应用集群同步系统,其特征在于,云应用服务中心还包括数据同步日志管理单元,用于提供日志记录行为或命令记录。 4. The cloud-based service features cloud service application cluster synchronization system according to claim 1, characterized in that the service center further comprises a cloud application data synchronization log management unit, for providing a logging action or command history.
5.一种基于云服务特征的云服务应用集群同步方法,包括以下步骤: 提供大规模分布式数据库DBRange管理中心:以云应用服务中心为单元对本中心的云应用服务及数据的特征进行归总管理,并根据所述云应用特征行为管理单元中的特征信息,建立各个云应用服务中心之间的关联关系; 接收云应用服务中心及时更新的数据信息,根据云应用业务管理单元中预先存储的关联关系,找到相关联的其它云应用服务中心信息,并通知更新数据的云应用服务中心或相关联的云应用服务中心;接收到所述DBRange管理中心下发的相关联的云应用服务中心时,将更新数据的相关信息发送至对应的云应用服务中心,或者当接收到所述DBRange管理中心下发的更新数据的云应用服务中心时与该云应用服务中心建立数据交互获得当前更新的数据。 A method for synchronizing cloud service cloud-based service application cluster features, comprising the steps of: providing a mass distributed database DBRange Manager: cloud application service center wherein the summary of the cloud application service center and data units according to the present management, and in accordance with feature information of the feature application cloud behavior management unit, to establish the association between each cloud application service center; cloud application service center receives the update data, a cloud service application previously stored in the management unit upon receiving the issued under the management center associated DBRange cloud application service center; relationship, to find other cloud application service center associated information, and notifies the update data cloud application service center or cloud associated application service center , the update data is sent to the related information corresponding to application service center of the cloud, or when delivered by receiving the update data management center DBRange cloud application data exchange with the service center to establish the cloud application service center to get current updated data .
6.如权利要求5所述的云服务应用集群同步方法,其特征在于,还包括: 接收云应用服务中心及时接收各种云应用特征数据信息和数据信更新的数据信息,所述DBRange管理中心更新数据表; 所述DBRange管理中心基于各种云应用服务的数据特征和用户数据特征分析,将出现性能瓶颈约束的大数据表进行分割,将一个大数据表分割存储在不同的小数据表中; 所述DBRange管理中心在记录数据分割关系表中记录云服务数据智能分割引擎进行的数据分割关系和变化情况。 The cloud DBRange Manager receives timely application service center receives various features cloud application data information and the data channel data update information: Cloud synchronization method as claimed in claim 5 cluster service application, characterized in that, further comprising update the data table; DBRange the management center and user data based on data characteristic features of the various applications and services cloud analysis, large tables constraint performance bottlenecks will occur dividing, splitting a large data table stored in different data tables in the small ; dividing said management center DBRange relationship table records the divided data intelligent service cloud data splitting engine and changes in the relationship between the recording data.
7.如权利要求5所述的云服务应用集群同步方法,其特征在于,将出现性能瓶颈约束的大数据表进行分割进一步包括: 预先设定多个云应用或服务的数据库规模或数据表达到一定性能指标阀值; 所述DBRange管理中心查找数据分割关系表获得各个数据表信息,再判断数据库规模或数据表达是否达到一定性能指标阀值,若是才进行分割。 7. The method of synchronizing cloud service application cluster according to claim 5, characterized in that the performance of the bottleneck large tables will appear divided further comprising: a predetermined data size or more cloud database applications or services to the expression of certain performance thresholds; DBRange Manager checks the data partition table to get each data table information, and then determine the size of the database or whether the expression data reaches a certain performance threshold, if it is divided.
8.如权利要求6所述的云服务应用集群同步方法,其特征在于,所述DBRange管理中心直接将所要更新的数据下发至各个相关联的云应用服务中心。 Cloud service application cluster synchronization method as claimed in claim 6, wherein sent to the respective associated cloud application service center directly under the management center DBRange The data to be updated.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104683731A (en) * 2015-03-20 2015-06-03 苏州科达科技股份有限公司 Method and system for communication between heterogeneous platforms
CN105847363A (en) * 2016-03-28 2016-08-10 乐视控股(北京)有限公司 Method and system used for cross-region file sharing
CN106250494A (en) * 2016-08-02 2016-12-21 极道科技(北京)有限公司 Data management-analysis system based on filesystem

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110258461A1 (en) * 2010-04-16 2011-10-20 Twinstrata, Inc System and method for resource sharing across multi-cloud arrays
CN102387170A (en) * 2010-08-31 2012-03-21 上海萌泰网络科技有限公司 Mobile data synchronizing method based on cloud computing
US20120233117A1 (en) * 2011-03-08 2012-09-13 Rackspace Us, Inc. Higher Efficiency Storage Replication Using Compression
US8291036B2 (en) * 2009-03-16 2012-10-16 Microsoft Corporation Datacenter synchronization
US20130013560A1 (en) * 2011-07-08 2013-01-10 Arnold Goldberg Desktop application for access and interaction with workspaces in a cloud-based content management system and synchronization mechanisms thereof
CN103095833A (en) * 2013-01-15 2013-05-08 中国联合网络通信集团有限公司 Updating method of cloud service system and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8291036B2 (en) * 2009-03-16 2012-10-16 Microsoft Corporation Datacenter synchronization
US20110258461A1 (en) * 2010-04-16 2011-10-20 Twinstrata, Inc System and method for resource sharing across multi-cloud arrays
CN102387170A (en) * 2010-08-31 2012-03-21 上海萌泰网络科技有限公司 Mobile data synchronizing method based on cloud computing
US20120233117A1 (en) * 2011-03-08 2012-09-13 Rackspace Us, Inc. Higher Efficiency Storage Replication Using Compression
US20130013560A1 (en) * 2011-07-08 2013-01-10 Arnold Goldberg Desktop application for access and interaction with workspaces in a cloud-based content management system and synchronization mechanisms thereof
CN103095833A (en) * 2013-01-15 2013-05-08 中国联合网络通信集团有限公司 Updating method of cloud service system and device

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104683731A (en) * 2015-03-20 2015-06-03 苏州科达科技股份有限公司 Method and system for communication between heterogeneous platforms
CN104683731B (en) * 2015-03-20 2019-02-19 苏州科达科技股份有限公司 A kind of method and system for being communicated between heterogeneous platform
CN105847363A (en) * 2016-03-28 2016-08-10 乐视控股(北京)有限公司 Method and system used for cross-region file sharing
WO2017166481A1 (en) * 2016-03-28 2017-10-05 乐视控股(北京)有限公司 Method and system for cross-regional file sharing
CN106250494A (en) * 2016-08-02 2016-12-21 极道科技(北京)有限公司 Data management-analysis system based on filesystem
CN106250494B (en) * 2016-08-02 2019-04-09 极道科技(北京)有限公司 A kind of data management and analysis system based on file system

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