CN106101213A - Information-distribution type storage method - Google Patents

Information-distribution type storage method Download PDF

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Publication number
CN106101213A
CN106101213A CN201610404933.6A CN201610404933A CN106101213A CN 106101213 A CN106101213 A CN 106101213A CN 201610404933 A CN201610404933 A CN 201610404933A CN 106101213 A CN106101213 A CN 106101213A
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China
Prior art keywords
node
service
management
server cluster
cloud storage
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Pending
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CN201610404933.6A
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Chinese (zh)
Inventor
张敬华
程映忠
王松
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Sichuan Xinhuanjia Technology Development Co Ltd
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Sichuan Xinhuanjia Technology Development Co Ltd
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Priority to CN201610404933.6A priority Critical patent/CN106101213A/en
Publication of CN106101213A publication Critical patent/CN106101213A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/10Active monitoring, e.g. heartbeat, ping or trace-route
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1044Group management mechanisms 

Abstract

The invention provides a kind of information-distribution type storage method, the method includes: cloud storage platform Distributed Architecture is carried out automated management, including installing, build and monitor, and by the node scheduling optimization in reading and writing data stage server cluster be managed and optimize.The present invention proposes a kind of information-distribution type storage method, simplifies server cluster deployment way, it is to avoid server cluster is directly operated by user, it is ensured that the reasonability of memory node and data stability.

Description

Information-distribution type storage method
Technical field
The present invention relates to cloud storage, particularly to a kind of information-distribution type storage method.
Background technology
Cloud storage have employed the technology such as cloud computing, distributed file system and server cluster, deposits various in network Storage resource is aggregating, common externally offer data storage and Operational Visit function.Current cloud storage is divided into publicly-owned service type Storage, i.e. provides storage service to enterprise or individual;One be privately owned architected cloud storage, i.e. enterprises build based on Storage server cluster and distributed file system, be deployed in the node trustship place of enterprise data center or safety, for enterprise Industry self provides and stores service accordingly.Cloud storage platform confidentiality is higher, and storing process is without too many I/O operation, therefore Using and building private cloud storage system to preserve its data file is best selection.At present, private cloud storage building plan has A variety of: to include key assignments type distributed file system, have employed the mode of packet, server cluster is by one or more groups of structures Become, be the most standby relation with the service node in group.The mode using packet storage can make storage server cluster more flexible, Controllability is the strongest.But, Hadoop, as a distributed storage Computational frame increased income, also has lacking of its own Point.That is exactly system architecture design complexity, and operation maintenance difficulty is bigger.Use to cloud storage platform not only needs many Knowledge accumulation, and also have a lot of technical ability to remove learning and mastering in terms of its operation maintenance, limit cloud storage to a certain extent The industry of platform is promoted and uses.In building information cloud storage platform, also two impacts are disposed and the problem of systematic function: First is in running, and node is susceptible to fault.Once node failure occurs and can not prepare to process in time, Will affect in the storage server cluster build process of multiple node, each node has the operation of a lot of repetition so that take Process of building is the most loaded down with trivial details and easily makes mistakes;Second is because node and is ordinary personal computers, rather than minicomputer or big The private server of type machine etc, therefore data are in use, and by such as CPU, internal memory and magnetic disc i/o etc. affect relatively For seriously.
Summary of the invention
For solving the problem existing for above-mentioned prior art, the present invention proposes a kind of information-distribution type storage method, bag Include:
Cloud storage platform Distributed Architecture is carried out automated management, including installing, builds and monitor, and pass through data Server cluster is managed and optimizes by the node scheduling optimization in read-write stage.
Preferably, described cloud storage platform uses host-guest architecture, comprises a management node and multiple service node;Management Node is used for mutual with service node, the heartbeat request that node of accepting business sends, and completes centralized management watchdog logic, each Service node is responsible for state acquisition and the maintenance work of place node;Manage node deployment at single node as server set The management node of group's deployment framework, the order receiving user's transmission performs request, sends order with rear to service node, uses JSON mode sends order, and wherein JSON data include installation, start, stop the configuration information of service;
Service node is deployed on the node of all server clusters to be added, is used for performing by holding that management node sends Row task requests, performed script be stored in management node on assigned catalogue under, this script by service node receive from The content transformation of the command file of management node is dictionary format, it is simple to the use configured when script realizes disposing, and is disposing During state and behavior transmission all for by manage node be sent to service node, service node receives certain action row For, by behavior perform thread perform correspondence method, and will perform after message by message queue feed back to management save Point;During server cluster is disposed, operator perform different behaviors by the page, and management node will send the behavior To service node, then performed corresponding operation by the behavior execution thread of service node, complete server cluster and dispose;In industry During business node performs, send back to the status information in server cluster manage node, by the finite state of management node Machine judges;
In server cluster node configures, node joins two steps in server cluster, first is that both sides pacify Full certification, second is the configuration of node name;Both sides' safety certification uses Shell script to write, and system performs this script, will pipe The PKI file distributing of reason node is to each service node, to reach the state without password login;Configuration service device cluster service Including selecting service and selecting service place node, when selecting service by reading this JSON data, obtain all of cloud and deposit Storage platform service, optionally installs;After selecting service, by service distribution at corresponding node, before now reading Node listing, then each service is carried out node selection;Servicing the configuration information with node, all oneself after setting completed, leads to Cross execution Shell to be distributed on the node of correspondence by corresponding cloud storage platform service installation kit, and install;All nodes Service profile information synchronize;
In node administration, monitor thread by cloud storage platform service, the cloud storage platform service of management node is entered Road wheel is ask, and monitors the running status of each node on server cluster in real time, realizes increasing node and deleting behaviour simultaneously Make;Node administration uses observer's pattern to realize cloud storage platform service monitor, and wherein node manager is observer, cloud Storage platform service monitor is the person of being observed;Supervision includes monitoring server cluster operation conditions, runs including all nodes Situation, file system service condition;Management includes server cluster node and the unlatching of service, closedown, the increase of node and deleting Remove.
The present invention compared to existing technology, has the advantage that
The present invention proposes a kind of information-distribution type storage method, simplifies server cluster deployment way, it is to avoid user Directly server cluster is operated, it is ensured that the reasonability of memory node and data stability.
Accompanying drawing explanation
Fig. 1 is the flow chart of information-distribution type storage method according to embodiments of the present invention.
Detailed description of the invention
Hereafter provide retouching in detail one or more embodiment of the present invention together with the accompanying drawing of the diagram principle of the invention State.Describe the present invention in conjunction with such embodiment, but the invention is not restricted to any embodiment.The scope of the present invention is only by right Claim limits, and the present invention contains many replacements, amendment and equivalent.Illustrate in the following description many details with Thorough understanding of the present invention is just provided.These details are provided for exemplary purposes, and without in these details Some or all details can also realize the present invention according to claims.
An aspect of of the present present invention provides a kind of information-distribution type storage method.Fig. 1 is letter according to embodiments of the present invention Breath distributed storage method flow chart.
In order to preferably manage server cluster, the present invention whole life to cloud storage platform Distributed Architecture running The life cycle carries out automated management, including installing, builds and monitors, it is provided that visualization interface, improves the efficiency of manager.With Time storage resource control system carry out fault alarm and process.Except the operation maintenance of server cluster is operated, in addition it is also necessary to right The performance of server cluster is optimized.In server cluster after newly-increased node, re-optimization performance of server cluster.For cloud Storage server cluster variety of problems during deployment, operation maintenance and use, the present invention is directed to the server set built Group, utilizes the node scheduling Optimized model in reading and writing data stage, realizes convenient management and the optimization of server cluster.The present invention The aspect of deployment framework, node administration and server Optimized Operation for server cluster is described in detail.
The present invention uses host-guest architecture, comprises a management node and multiple service node.Management node is used for and business Node is mutual, the heartbeat request that node of accepting business sends, and completes centralized management watchdog logic, and each service node is responsible for The state acquisition of place node and maintenance work.Management node deployment is at single node, as server cluster deployment framework Management node, its responsibility be receive user send order performs request, with rear to service node send order, employing JSON Mode sends order, and these JSON data include installation, start, stop the configuration information of service.
Service node is deployed on the node of all server clusters to be added, is used for performing by holding that management node sends Row task requests, performed script be stored in management node on assigned catalogue under, this script by service node receive from The content transformation of the command file of management node is dictionary format, it is simple to the use configured when script realizes disposing.Disposing During state and behavior transmission all for by manage node be sent to service node, service node receives certain action row For, by behavior perform thread perform correspondence method, and will perform after message by message queue feed back to management save Point.
During server cluster is disposed, operator perform different behaviors by the page, and management node is by this row For being sent to service node. performed thread by the behavior of service node again and perform the operation of correspondence, complete server cluster portion Administration.During service node performs, send back to the status information in server cluster manage node, by having of management node Limit state machine judges.
In server cluster node configures, the present invention gives tacit consent to all nodes and the most successfully installs operating system no matter It is physical machine or virtual machine.Node joins two steps in server cluster, first is both sides' safety certifications, and second is The configuration of node name.Both sides' safety certification uses Shell script to write, and system performs this script, by the PKI of management node File distributing is to each service node, to reach the state without password login.
Configuration service device cluster service includes selecting service and selecting service place node.Current information on services writes on In JSON data, when selecting service by reading this JSON data, obtain all of cloud storage platform service, optionally enter Row is installed.After selecting service, to service being distributed at corresponding node, the node listing before at this moment reading, then will Each service carries out node selection.
Service and node configuration information all oneself after setting completed, corresponding cloud can be deposited by system by performing Shell Storage platform service installation kit is distributed on the node of correspondence, and installs.The service profile information of all nodes synchronizes.
After server cluster has been built, server cluster interior joint increases along with the increase of data volume, adding of node Add and the complexity of process of malfunctioning node the most exponentially goes up.The present invention utilizes node administration, by a cloud storage Platform service monitors thread, is polled the cloud storage platform service of management node, monitors in real time on server cluster each The running status of node, realizes increasing node and deletion action simultaneously.
Node administration uses observer's pattern to realize cloud storage platform service monitor, and wherein node manager is observation Person, cloud storage platform service monitor is the person of being observed.Supervision includes monitoring server cluster operation conditions, including all nodes Operation conditions, file system service condition.Management includes server cluster node and the unlatching of service, closedown, the increase of node With deletion etc..
After cloud storage Platform Server is built, management node can start server cluster and monitor, periodically initiates Nodal information obtains server cluster node index.Selected node increase or delete by cloud storage platform nodes manager simultaneously The operation removed.
If there being new node server cluster to be added, then cloud storage platform nodes manager is needed to obtain service to be added The nodal information of device cluster, then send that information to cloud storage platform nodes monitor, by performing relevant Shell order, Judge whether this node can join server cluster, and feedback-related information is to cloud storage platform nodes manager, by cloud Storage platform nodes manager selects the concrete behavior of node.In like manner, knot removal is also required to first save from cloud storage platform In some manager, the nodal information that will delete is sent to cloud storage platform nodes monitor, and monitor judges the shape of this node State, performs node and removes operation.
The server optimization that the present invention proposes includes that node selects and storage scheduling.Node selects to refer to that data are before write Memory node is strategically specified, it is possible to ensure storage load balance, after storage scheduling refers to data write, according to visit by some Ask that frequency or node storage capacity are to redistribute copy memory node so that system can be run more efficiently.
File system is provided with node and selects and dispatch monitor.Its interior joint selection strategy is implemented among namenode, Called when selecting service node by namenode.Dispatch monitor is used for monitoring server cluster operation conditions, including data The access frequency of block and the memory capacity of service node, system is when idle state, and management node is according to data access frequency And power system capacity, dispatch copy deposit position, improve running efficiency of system.
Node selects to specifically include, and before files passe, service node sends write data requests, name byte to namenode Point calls node preference pattern, by dispatch monitor, obtains server cluster operation information, calculates the stored ratio of node, Calculate the stored ratio of each frame node, and according to backup factor number, the node composition that prioritizing selection stored ratio is the highest Node queue, is sent to client, client data to be stored are divided into multiple data block, is stored in different business On node.
Storage scheduling specifically includes, and after All Files has been stored in server cluster, is received by dispatch monitor Collection server cluster operation information, gets data access frequency and the memory capacity of all nodes of all nodes, in service When device cluster is in idle state, management node, according to the data got, carries out storage scheduling.If the access frequency of data surpasses Cross predefined threshold value, then by Replica placement on the minimum node of access frequency;If system spare capacity is less than threshold value, then by pair Originally the node that stored ratio is the highest it is placed on.
Below for server optimization scheduling model, its monitor and optimisation strategy are described.
First, server cluster operation information needs to be measured by cloud storage platform operation information to supervise with display frame Depending on, survey tool is extended by described framework, it is provided that can show in real time and the instrument of historical data, help monitoring for one The task relevant with scheduling cloud storage platform.
Cloud storage scheduling in the present invention is divided into two stages.Wherein first stage is service node during file write Select, be to be realized by optimization node selection strategy.Client selects to be divided into two ways at node: client is at server Selection strategy on clustered node and client selection mode outside server cluster node.Implementation is as follows:
Assume that server cluster has n frame, each frame to have TR platform service node, if number of copies is that r client is at clothes On business device group service node, then
A) client sends write data requests to management node;
B) management node is according to file content and system configuration scenarios, calculates all service nodes of client place frame Stored ratio, process is as follows
If client is i-th frame, initialize selected node set SDN for sky;
The residual capacity of this frame jth node is CLij, the block number of storage is BLij, the storage preferred proportion RS of nodeij =CLij/BLij, storage is preferably put into selected node set than two the highest nodes, i.e. SDN={DNia、DNib};Wherein DNia、DNibRepresent a and the b service node in i-th frame,
C) from remaining the node calculating r-2 storage each frame than maximum, r-2 node of maximum after sequence, is selected Put into selected node set SDN, altogether r node, be used for depositing data block and copy thereof;
D) the node distribution service node during SDN is gathered by management node, to client, is write by client.
When client is not on service node, then the stored ratio of all nodes, choosing in direct calculation server cluster Select front r maximum node, be data memory node.FromIn individual node, according to RSij=CLij/BLijSelect storage R the node that ratio is the highest, puts in SDN list, is the optimum node chosen.
In sum, the present invention proposes a kind of information-distribution type storage method, simplifies server cluster deployment way, User is avoided directly server cluster to be operated, it is ensured that the reasonability of memory node and data stability.
Obviously, it should be appreciated by those skilled in the art, each module of the above-mentioned present invention or each step can be with general Calculating system realize, they can concentrate in single calculating system, or be distributed in multiple calculating system and formed Network on, alternatively, they can realize with the executable program code of calculating system, it is thus possible to by they store Performed by calculating system within the storage system.So, the present invention is not restricted to the combination of any specific hardware and software.
It should be appreciated that the above-mentioned detailed description of the invention of the present invention is used only for exemplary illustration or explains the present invention's Principle, and be not construed as limiting the invention.Therefore, that is done in the case of without departing from the spirit and scope of the present invention is any Amendment, equivalent, improvement etc., should be included within the scope of the present invention.Additionally, claims purport of the present invention Whole within containing the equivalents falling into scope and border or this scope and border change and repair Change example.

Claims (2)

1. an information-distribution type storage method, it is characterised in that including:
Cloud storage platform Distributed Architecture is carried out automated management, including installing, builds and monitor, and pass through reading and writing data Server cluster is managed and optimizes by the node scheduling optimization in stage.
Method the most according to claim 1, it is characterised in that described cloud storage platform uses host-guest architecture, comprises one Management node and multiple service node;Management node is used for mutual with service node, the heartbeat request that node of accepting business sends, Completing centralized management watchdog logic, each service node is responsible for state acquisition and the maintenance work of place node;Management node Being deployed in the single node management node as server cluster deployment framework, the order receiving user's transmission performs request, Sending order with rear to service node, use JSON mode to send order, wherein JSON data include installation, start, stop The only configuration information of service;
Service node is deployed on the node of all server clusters to be added, and the execution being used for performing to be sent by management node is appointed Business request, performed script is stored under the assigned catalogue on management node, and service node is received Self management by this script The content transformation of the command file of node is dictionary format, it is simple to the use configured when script realizes disposing, in the process of deployment In state and behavior transmission all for by management node be sent to service node, service node receives certain operation behavior, lead to Cross behavior perform thread perform correspondence method, and will perform after message feed back to management node by message queue;? During server cluster is disposed, operator perform different behaviors by the page, and management node will be sent to industry the behavior Business node, then the operation of correspondence is performed by the behavior execution thread of service node, complete server cluster and dispose;Save in business During point performs, send back to the status information in server cluster manage node, the finite state machine of management node come Judge;
In server cluster node configures, node joins two steps in server cluster, first is that both sides recognize safely Card, second is the configuration of node name;Both sides' safety certification uses Shell script to write, and system performs this script, management is saved The PKI file distributing of point is to each service node, to reach the state without password login;Configuration service device cluster service includes Select service and select service place node, when selecting service by reading this JSON data, obtaining all of cloud storage and put down Platform services, and optionally installs;After selecting service, by service distribution at corresponding node, the joint before now reading Point list, then carries out node selection by each service;Service and node configuration information all oneself after setting completed, by holding Corresponding cloud storage platform service installation kit is distributed on the node of correspondence by row Shell, and installs;The clothes of all nodes Business configuration information synchronizes;
In node administration, monitor thread by cloud storage platform service, the cloud storage platform service of management node is taken turns Ask, monitor the running status of each node on server cluster in real time, realize node is increased and deletion action simultaneously;Joint Point management uses observer's pattern to realize cloud storage platform service monitor, and wherein node manager is observer, cloud storage Platform service monitor is the person of being observed;Supervision includes monitoring server cluster operation conditions, including all node health, File system service condition;Management includes server cluster node and the unlatching of service, closedown, the increase of node and deletion.
CN201610404933.6A 2016-06-08 2016-06-08 Information-distribution type storage method Pending CN106101213A (en)

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CN106302660A (en) * 2016-08-01 2017-01-04 成都鼎智汇科技有限公司 Medicine information distributed storage method
CN107329982A (en) * 2017-06-01 2017-11-07 华南理工大学 A kind of big data parallel calculating method stored based on distributed column and system
CN108388658A (en) * 2018-03-07 2018-08-10 成都创信特电子技术有限公司 Data file reliable storage method
CN109379425A (en) * 2018-10-16 2019-02-22 浪潮软件集团有限公司 Distributed cluster deployment management method and device
CN110932914A (en) * 2019-12-16 2020-03-27 深信服科技股份有限公司 Deployment method, deployment device, hybrid cloud system architecture and computer storage medium
CN112751926A (en) * 2020-12-29 2021-05-04 北京浪潮数据技术有限公司 Method, system and related device for managing working nodes in cluster
CN113419671A (en) * 2021-05-20 2021-09-21 佛山市禅城区政务服务数据管理局 Personal data space access control method and system
CN113448947A (en) * 2021-07-09 2021-09-28 烽火通信科技股份有限公司 Method and device for distributed deployment, operation and maintenance of mongo database
CN114489995A (en) * 2022-02-15 2022-05-13 北京永信至诚科技股份有限公司 Distributed scheduling processing method and system
CN114844910A (en) * 2022-04-19 2022-08-02 重庆紫光华山智安科技有限公司 Data transmission method, system, device and medium for distributed storage system

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CN106302660A (en) * 2016-08-01 2017-01-04 成都鼎智汇科技有限公司 Medicine information distributed storage method
CN107329982A (en) * 2017-06-01 2017-11-07 华南理工大学 A kind of big data parallel calculating method stored based on distributed column and system
CN108388658A (en) * 2018-03-07 2018-08-10 成都创信特电子技术有限公司 Data file reliable storage method
CN109379425A (en) * 2018-10-16 2019-02-22 浪潮软件集团有限公司 Distributed cluster deployment management method and device
CN110932914A (en) * 2019-12-16 2020-03-27 深信服科技股份有限公司 Deployment method, deployment device, hybrid cloud system architecture and computer storage medium
CN112751926B (en) * 2020-12-29 2023-05-26 北京浪潮数据技术有限公司 Management method, system and related device for working nodes in cluster
CN112751926A (en) * 2020-12-29 2021-05-04 北京浪潮数据技术有限公司 Method, system and related device for managing working nodes in cluster
CN113419671A (en) * 2021-05-20 2021-09-21 佛山市禅城区政务服务数据管理局 Personal data space access control method and system
CN113419671B (en) * 2021-05-20 2022-02-18 佛山市禅城区政务服务数据管理局 Personal data space access control method
CN113448947A (en) * 2021-07-09 2021-09-28 烽火通信科技股份有限公司 Method and device for distributed deployment, operation and maintenance of mongo database
CN113448947B (en) * 2021-07-09 2023-10-27 烽火通信科技股份有限公司 Method and device for distributed deployment operation and maintenance of mongo database
CN114489995A (en) * 2022-02-15 2022-05-13 北京永信至诚科技股份有限公司 Distributed scheduling processing method and system
CN114489995B (en) * 2022-02-15 2022-09-30 北京永信至诚科技股份有限公司 Distributed scheduling processing method and system
CN114844910A (en) * 2022-04-19 2022-08-02 重庆紫光华山智安科技有限公司 Data transmission method, system, device and medium for distributed storage system

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