CN108737573A - A kind of distributed storage cluster and its service response control method, device and equipment - Google Patents
A kind of distributed storage cluster and its service response control method, device and equipment Download PDFInfo
- Publication number
- CN108737573A CN108737573A CN201810689414.8A CN201810689414A CN108737573A CN 108737573 A CN108737573 A CN 108737573A CN 201810689414 A CN201810689414 A CN 201810689414A CN 108737573 A CN108737573 A CN 108737573A
- Authority
- CN
- China
- Prior art keywords
- node
- response
- service
- client
- distributed storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols 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]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1034—Reaction to server failures by a load balancer
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0668—Management of faults, events, alarms or notifications using network fault recovery by dynamic selection of recovery network elements, e.g. replacement by the most appropriate element after failure
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
This application discloses a kind of service response control methods of distributed storage cluster, including:Receive the service request that client is sent;The performance best storage node at current time is determined as to provide the response node of this service response to client;Performance best storage node be distributed storage cluster each memory node in load minimum memory node;Service request is forwarded to response node, and establishes the session connection between response node and client, to provide service response to client by being deployed in the management software on response node from response node.The application, which can effectively avoid, there is the heavier situation of individual memory node loads, effectively increases the harmony of load and performance between entire each memory node of distributed storage cluster.Distributed storage cluster and its service response control device provided herein, equipment and computer readable storage devices equally have above-mentioned advantageous effect.
Description
Technical field
This application involves technical field of distributed memory, more particularly to a kind of distributed storage cluster and its service response control
Method, apparatus, equipment and computer readable storage medium processed.
Background technology
With the development of information age and big data epoch, there is ten hundreds of mass datas to generate daily, it is traditional
Data storage method can no longer meet modern storage and calculate demand, and distributed storage cluster comes into being.
By distributed file system, the storage of mass data such as PB level data no longer becomes problem.Distributed storage
Cluster stores data in the memory node of numerous dispersions, to the resource data in each memory node carry out unified management with
Distribution, and provide access and service interface to the user.Specifically, modern distributed storage cluster is typically to pass through dedicated pipe
Reason software carries out operation and maintenance, it have many advantages, such as it is of low cost, convenient for safeguarding, be easy to extend.Administrator can pass through pipe
Reason software issues task requests etc. to each memory node for deploying management software, reaches the mesh of operation memory node equipment
's.
But distributed storage cluster in the prior art for user service request be typically using master-slave mode into
Row response, i.e., service response is provided a user by preset primary storage node every time.Undoubtedly can constantly it add in this way
The operation load of weight primary storage node, and reduce the balancing performance of entire distributed storage cluster.
As it can be seen that using the service response control method of which kind of distributed storage cluster, to effectively improve each storage section
Balancing performance between point is those skilled in the art's technical problem urgently to be resolved hurrily.
Invention content
The application's is designed to provide a kind of distributed storage cluster and its service response control method, device, equipment
And computer readable storage medium, to effectively improve the balancing performance between each memory node.
In order to solve the above technical problems, the application provides a kind of service response control method of distributed storage cluster, answer
For the service response controller in the distributed storage cluster, including:
Receive the service request that client is sent;
The performance best storage node at current time is determined as to provide the response of this service response to the client
Node;The performance best storage node be the distributed storage cluster each memory node in load minimum storage section
Point;
The service request is forwarded to the response node, and is established between the response node and the client
Session connection, to be provided from the response node to the client by the management software being deployed on the response node
Service response.
Optionally, the determination step of the performance best storage node includes:
Obtain all kinds of running performance index of each memory node;
The integrated operation performance indicator of each memory node is calculated by weighting method;
The best memory node of the integrated operation performance indicator is determined as the performance best storage node.
Optionally, all kinds of running performance index include following arbitrary combination:
CPU usage, memory usage, I/O bandwidth.
Optionally, it is described the service request is forwarded to the response node after, further include:
If the response node failure, the performance best storage node at current time is redefined, and will be updated
The performance best storage node at current time is determined as providing the response node of this service response to the client.
Optionally, the management software in each memory node is given tacit consent to standby.
Optionally, each memory node shares the distributed type assemblies cache module progress of the distributed storage cluster
Data buffer storage.
Present invention also provides a kind of service response control devices of distributed storage cluster, are deposited applied to the distribution
Service response controller in accumulation, including:
Receiving module:Service request for receiving client transmission;
Determining module:For being determined as the performance best storage node at current time to provide this clothes to the client
The response node of business response;The performance best storage node be the distributed storage cluster each memory node in load
Minimum memory node;
Control module:For the service request to be forwarded to the response node, and establish the response node and institute
State the session connection between client, so as to from the response node by be deployed in the management software on the response node to
The client provides service response.
Present invention also provides a kind of distributed storage cluster, including client, service response controller and multiple deposit
Store up node;
The service response controller is used for:
Receive the service request that client is sent;The performance best storage node at current time is determined as to the client
End provides the response node of this service response;The performance best storage node is that each of distributed storage cluster deposits
Minimum memory node is loaded in storage node;The service request is forwarded to the response node, and establishes the response section
Session connection between point and the client, to pass through the management that is deployed on the response node by the response node
Software provides service response to the client.
Present invention also provides a kind of service response control devices of distributed storage cluster, including:
Memory:For storing computer program;
Processor:For executing the computer program to realize the clothes of any distributed storage cluster as described above
The step of business response control mehtod.
Present invention also provides a kind of computer readable storage medium, meter is stored in the computer readable storage medium
Calculation machine program, realizing any distributed storage cluster as described above when the computer program is executed by processor
The step of service response control method.
The service response control method of distributed storage cluster provided herein includes:Receive the clothes that client is sent
Business request;The performance best storage node at current time is determined as to provide the response section of this service response to the client
Point;The performance best storage node be the distributed storage cluster each memory node in load minimum storage section
Point;The service request is forwarded to the response node, and establishes the session between the response node and the client
Connection, to provide service to the client by being deployed in the management software on the response node from the response node
Response.
As it can be seen that compared with the prior art, in the service response control method of distributed storage cluster provided herein,
It is used as by the way that minimum memory node will be loaded in distributed storage cluster and the response node of service response is provided to client, it can
The heavier situation of individual memory node loads is effectively avoided the occurrence of, entire each memory node of distributed storage cluster is effectively increased
Between load and performance harmony.Distributed storage cluster and its service response control device provided herein, equipment and
The service response control method of above-mentioned distributed storage cluster may be implemented in computer readable storage devices, equally has with above-mentioned
Beneficial effect.
Description of the drawings
In order to illustrate more clearly of the technical solution in the prior art and the embodiment of the present application, below will to the prior art and
Attached drawing to be used is needed to make brief introduction in the embodiment of the present application description.Certainly, the attached drawing in relation to the embodiment of the present application below
A part of the embodiment in only the application of description is not paying creativeness to those skilled in the art
Under the premise of labour, other attached drawings can also be obtained according to the attached drawing of offer, the other accompanying drawings obtained also belong to the application
Protection domain.
Fig. 1 is a kind of flow chart of the service response control method of distributed storage cluster provided herein;
Fig. 2 is a kind of structure diagram of the service response control device of distributed storage cluster provided herein;
Fig. 3 is a kind of structure diagram of distributed storage cluster provided herein.
Specific implementation mode
The core of the application is to provide a kind of distributed storage cluster and its service response control method, device, equipment
And computer readable storage medium, to effectively improve the balancing performance between each memory node.
In order to which technical solutions in the embodiments of the present application is more clearly and completely described, below in conjunction with this Shen
Attached drawing that please be in embodiment, technical solutions in the embodiments of the present application are introduced.Obviously, described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Referring to FIG. 1, Fig. 1 is a kind of stream of the service response control method of distributed storage cluster provided herein
Cheng Tu, the service response controller being applied in distributed storage cluster, mainly includes the following steps that:
Step 1:Receive the service request that client is sent.
Specifically, service response control method provided herein is specifically and applies on service response controller.
Service response controller provided herein is deployed in distributed storage cluster, and with it is each in distributed storage cluster
Being established between memory node has communication connection relationship, can be managed to activities such as communication, the O&Ms of each memory node, be client
Communication bridge between end and each memory node.
Step 2:It is determined as the performance best storage node at current time to provide answering for this service response to client
Answer node;Performance best storage node be distributed storage cluster each memory node in load minimum memory node.
Specifically, in service response control method provided herein, when service response controller is received from visitor
After the service request at family end, can determine performance best storage node to carry out response, rather than as in the prior art that
Sample all carries out response by preset primary storage node always.Response node selected every time is all distributed storage in the application
Minimum performance best storage node is loaded in each memory node of cluster, so as to be effectively prevented from distributed storage cluster
Load imbalance the case where, safeguards system stable operation.
It is easily understood that performance best storage node is joined with time correlation, different moments, corresponding performance was best
Memory node is likely to be different.So can just be reaffirmed after often receiving a service request current
The performance best storage node at moment, to obtain performance best storage node the most accurate.Certainly, so to a certain extent
The speed of service response is influenced whether, and hence it is also possible to periodically just update the performance best storage node at current time, example
Such as, it was just updated once at interval of 5 minutes, in this way, when receiving service request, the last update result can be directly invoked
Performance best storage node as current time.Those skilled in the art can voluntarily select according to actual conditions and reality is arranged
Existing, the application is not limited thereto.
Step 3:Service request is forwarded to response node, and establishes the session connection between response node and client,
To provide service response to client by being deployed in the management software on response node from response node.
Specifically, after response node is determined, the session connection between response node and client can be established, by
Response node carries out service response.Usually, it can be all deployed with dedicated management software on each memory node and in client,
After session connection is established, response node can be interacted with user, provide service response.
As it can be seen that in the service response control method of distributed storage cluster provided herein, by the way that distribution is deposited
Minimum memory node is loaded in accumulation as the response node for providing service response to client, can effectively avoid appearance
The heavier situation of other memory node load effectively increases load and performance between entire each memory node of distributed storage cluster
It is harmonious.
The service response control method of distributed storage cluster provided herein, on the basis of the above embodiments:
As a kind of preferred embodiment, the determination step of performance best storage node includes:
Obtain all kinds of running performance index of each memory node;
The integrated operation performance indicator of each memory node is calculated by weighting method;
The best memory node of integrated operation performance indicator is determined as performance best storage node.
Specifically, when updating performance best storage node every time, weighting method can be used, each storage to getting
All kinds of running performance index of node are calculated, and obtain integrated operation performance indicator, and last foundation integrated operation performance refers to
Mark determines performance best storage node.Can voluntarily it be arranged by those skilled in the art as the concrete numerical value of weighting weight and real
It is existing.
Wherein, as a kind of preferred embodiment, all kinds of running performance index include following arbitrary combination:It is CPU usage, interior
Deposit occupancy, I/O bandwidth.Certainly, those skilled in the art can also select other running performance index, the application to this not
It is defined.
Further include after service request is forwarded to response node as a kind of preferred embodiment:
If response node failure, the performance best storage node at current time is redefined, and will be updated current
The performance best storage node at moment is determined as providing the response node of this service response to client.
It specifically,, then can be again when the response node catastrophic failure that script determines in order to ensure the continuity of service
The performance best storage node that current time is redefined out from normally functioning memory node, as updated response section
It puts to continue to provide service response to client.
As a kind of preferred embodiment, the management software in each memory node is given tacit consent to standby.
Specifically, as described above, the former response node that other memory nodes can be ready to take over failure is taken
Business response, and in order to enable the process of taking over be completed with faster speed, the management software in each memory node can be enabled normal
In the case of all give tacit consent to standby, i.e., non-closed state.As a result, once needing to carry out the switching of response node, shape of awaiting orders
The management software of state will start running at once so that by the handoff procedure of former response node to updated response node in user
It is just quickly completed when not yet discovering, improves service response efficiency and user experience.
As a kind of preferred embodiment, each memory node shares the distributed type assemblies cache module of distributed storage cluster
Carry out data buffer storage.
Specifically, in order to ensure the data cached consistency of each memory node, mould is cached using distributed type assemblies
Block carries out data buffer storage to each memory node, that is, each memory node shares a data.Skill is cached for distributed type assemblies
Art passes through the means such as data check, other memory node institutes after a memory node is modified the data of caching
The data read are also the data after being modified.Compared to traditional each memory node, caching respectively counts alone respectively
According to scheme, using distributed type assemblies caching scheme can the data cached accuracy of each memory node of effective guarantee, work as progress
After the update of response node, updated response node can directly transfer data cached offer service, without as traditional scheme
In the data of updated response node are updated again like that.
The service response control device of distributed storage cluster provided herein is introduced below.
Referring to Fig. 2, Fig. 2 is a kind of knot of the service response control device of distributed storage cluster provided herein
Structure block diagram;Applied to the service response controller in distributed storage cluster, including receiving module 21, determining module 22 and control
Module 23;
Receiving module 21 is used to receive the service request of client transmission;
Determining module 22 is for being determined as the performance best storage node at current time to provide this service to client
The response node of response;Performance best storage node be distributed storage cluster each memory node in load minimum storage
Node;
Control module 23 is used to service request being forwarded to response node, and establishes the meeting between response node and client
Words connection, to provide service response to client by being deployed in the management software on response node from response node.
As it can be seen that the service response control device of distributed storage cluster provided herein, by by distributed storage
Minimum memory node is loaded in cluster as the response node for providing service response to client, and it is individual to can effectively avoid appearance
The heavier situation of memory node load effectively increases the equal of load and performance between entire each memory node of distributed storage cluster
Weighing apparatus property.
Referring to FIG. 3, Fig. 3 is a kind of structure diagram of distributed storage cluster provided herein.
Present invention also provides a kind of distributed storage cluster, including client 31, service response controller 32 and more
A memory node 33;
The service response controller 32 is used for:
Receive the service request that client 31 is sent;The performance best storage node at current time is determined as to the visitor
Family end 31 provides the response node of this service response;The performance best storage node is each of the distributed storage cluster
Minimum memory node is loaded in a memory node 33;The service request is forwarded to the response node, and described in foundation
Session connection between response node and the client 31, so as to by the response node by being deployed in the response node
On management software to the client 31 provide service response.
Present invention also provides a kind of service response control devices of distributed storage cluster, including:
Memory:For storing computer program;
Processor:For executing the computer program to realize the clothes of any distributed storage cluster as described above
The step of business response control mehtod.
Present invention also provides a kind of computer readable storage medium, meter is stored in the computer readable storage medium
Calculation machine program, realizing any distributed storage cluster as described above when the computer program is executed by processor
The step of service response control method.
Distributed storage cluster and its service response control device provided herein, equipment and computer-readable storage
The specific implementation mode of medium can correspond ginseng with the service response control method of distributed storage cluster as described above
According to just repeating no more here.
Each embodiment is described by the way of progressive in the application, the highlights of each of the examples are with other realities
Apply the difference of example, just to refer each other for identical similar portion between each embodiment.For system disclosed in embodiment
Speech, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is referring to method part illustration
?.
It should be noted that in present specification, the relational terms of such as " first " and " second " etc are used merely to
One entity is either operated and is distinguished with another entity or operation, without necessarily requiring or implying these entities or
There are any actual relationship or orders between person's operation.In addition, the terms "include", "comprise" or its any other
Variant is intended to non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only
Including those elements, but also include other elements that are not explicitly listed, or further includes for this process, method, object
Product or the intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...",
It is not precluded in the process, method, article or apparatus that includes the element that there is also other identical elements.
Technical solution provided herein is described in detail above.Specific case used herein is to this Shen
Principle and embodiment please is expounded, the explanation of above example is only intended to help understand the present processes and its
Core concept.It should be pointed out that for those skilled in the art, in the premise for not departing from the application principle
Under, can also to the application, some improvement and modification can also be carried out, these improvement and modification also fall into the protection of the application claim
In range.
Claims (10)
1. a kind of service response control method of distributed storage cluster, the service being applied in the distributed storage cluster is rung
Answer controller, which is characterized in that including:
Receive the service request that client is sent;
The performance best storage node at current time is determined as to provide the response node of this service response to the client;
The performance best storage node be the distributed storage cluster each memory node in load minimum memory node;
The service request is forwarded to the response node, and establishes the session between the response node and the client
Connection, to provide service to the client by being deployed in the management software on the response node from the response node
Response.
2. service response control method according to claim 1, which is characterized in that the performance best storage node is really
Determining step includes:
Obtain all kinds of running performance index of each memory node;
The integrated operation performance indicator of each memory node is calculated by weighting method;
The best memory node of the integrated operation performance indicator is determined as the performance best storage node.
3. service response control method according to claim 2, which is characterized in that all kinds of running performance index include
Arbitrary combination below:
CPU usage, memory usage, I/O bandwidth.
4. service response control method according to claim 3, which is characterized in that forward the service request described
After to the response node, further include:
If the response node failure, the performance best storage node at current time is redefined, and will be updated current
The performance best storage node at moment is determined as providing the response node of this service response to the client.
5. service response control method according to any one of claims 1 to 4, which is characterized in that each storage section
Management software in point is given tacit consent to standby.
6. service response control method according to claim 5, which is characterized in that each memory node shares described
The distributed type assemblies cache module of distributed storage cluster carries out data buffer storage.
7. a kind of service response control device of distributed storage cluster, the service being applied in the distributed storage cluster is rung
Answer controller, which is characterized in that including:
Receiving module:Service request for receiving client transmission;
Determining module:For the performance best storage node at current time to be determined as to provide this service sound to the client
The response node answered;The performance best storage node is minimum to be loaded in each memory node of the distributed storage cluster
Memory node;
Control module:For the service request to be forwarded to the response node, and establish the response node and the visitor
Session connection between the end of family, so as to from the response node by being deployed in the management software on the response node to described
Client provides service response.
8. a kind of distributed storage cluster, which is characterized in that saved including client, service response controller and multiple storages
Point;
The service response controller is used for:
Receive the service request that client is sent;The performance best storage node at current time is determined as carrying to the client
For the response node of this service response;The performance best storage node is each storage section of the distributed storage cluster
Minimum memory node is loaded in point;The service request is forwarded to the response node, and establish the response node with
Session connection between the client, to pass through the management software that is deployed on the response node by the response node
Service response is provided to the client.
9. a kind of service response control device of distributed storage cluster, which is characterized in that including:
Memory:For storing computer program;
Processor:For executing the computer program to realize such as claim 1 to 6 any one of them distributed storage collection
The step of service response control method of group.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
Program, realizing such as claim 1 to 6 any one of them distributed storage when the computer program is executed by processor
The step of service response control method of cluster.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810689414.8A CN108737573A (en) | 2018-06-28 | 2018-06-28 | A kind of distributed storage cluster and its service response control method, device and equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810689414.8A CN108737573A (en) | 2018-06-28 | 2018-06-28 | A kind of distributed storage cluster and its service response control method, device and equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108737573A true CN108737573A (en) | 2018-11-02 |
Family
ID=63930978
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810689414.8A Pending CN108737573A (en) | 2018-06-28 | 2018-06-28 | A kind of distributed storage cluster and its service response control method, device and equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108737573A (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109445969A (en) * | 2018-12-04 | 2019-03-08 | 浪潮电子信息产业股份有限公司 | Communication method, device and equipment between distributed tgt nodes |
CN111343254A (en) * | 2020-02-17 | 2020-06-26 | 天津卓朗科技发展有限公司 | Client connection method and device and electronic equipment |
CN111464579A (en) * | 2019-01-22 | 2020-07-28 | 珠海格力电器股份有限公司 | Message processing method and server |
CN111614747A (en) * | 2020-05-18 | 2020-09-01 | 北京奇艺世纪科技有限公司 | Information processing method and device |
CN112000477A (en) * | 2020-08-21 | 2020-11-27 | 北京浪潮数据技术有限公司 | Method, device, equipment and medium for load balancing in pod |
CN112527701A (en) * | 2020-12-11 | 2021-03-19 | 深圳航天智慧城市系统技术研究院有限公司 | Multi-system linkage control method, device, equipment and computer readable storage medium |
CN112905114A (en) * | 2021-02-10 | 2021-06-04 | 山东英信计算机技术有限公司 | Performance adjusting method, system and medium for distributed storage |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2282276A1 (en) * | 2003-01-21 | 2011-02-09 | Dell Products, L.P. | System for client connection distribution according to system load |
CN103036979A (en) * | 2012-12-12 | 2013-04-10 | 广州尚融网络科技有限公司 | Server loading balancing method and loading balancer |
CN103595797A (en) * | 2013-11-18 | 2014-02-19 | 上海爱数软件有限公司 | Caching method for distributed storage system |
CN105162878A (en) * | 2015-09-24 | 2015-12-16 | 网宿科技股份有限公司 | Distributed storage based file distribution system and method |
CN105577756A (en) * | 2015-12-12 | 2016-05-11 | 天津南大通用数据技术股份有限公司 | Distributed database log collection and load regulation system adopting cross backup and method thereof |
-
2018
- 2018-06-28 CN CN201810689414.8A patent/CN108737573A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2282276A1 (en) * | 2003-01-21 | 2011-02-09 | Dell Products, L.P. | System for client connection distribution according to system load |
CN103036979A (en) * | 2012-12-12 | 2013-04-10 | 广州尚融网络科技有限公司 | Server loading balancing method and loading balancer |
CN103595797A (en) * | 2013-11-18 | 2014-02-19 | 上海爱数软件有限公司 | Caching method for distributed storage system |
CN105162878A (en) * | 2015-09-24 | 2015-12-16 | 网宿科技股份有限公司 | Distributed storage based file distribution system and method |
CN105577756A (en) * | 2015-12-12 | 2016-05-11 | 天津南大通用数据技术股份有限公司 | Distributed database log collection and load regulation system adopting cross backup and method thereof |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109445969A (en) * | 2018-12-04 | 2019-03-08 | 浪潮电子信息产业股份有限公司 | Communication method, device and equipment between distributed tgt nodes |
CN111464579A (en) * | 2019-01-22 | 2020-07-28 | 珠海格力电器股份有限公司 | Message processing method and server |
CN111343254A (en) * | 2020-02-17 | 2020-06-26 | 天津卓朗科技发展有限公司 | Client connection method and device and electronic equipment |
CN111343254B (en) * | 2020-02-17 | 2022-11-11 | 天津卓朗科技发展有限公司 | Client connection method and device and electronic equipment |
CN111614747A (en) * | 2020-05-18 | 2020-09-01 | 北京奇艺世纪科技有限公司 | Information processing method and device |
CN111614747B (en) * | 2020-05-18 | 2023-03-10 | 北京奇艺世纪科技有限公司 | Information processing method and device |
CN112000477A (en) * | 2020-08-21 | 2020-11-27 | 北京浪潮数据技术有限公司 | Method, device, equipment and medium for load balancing in pod |
CN112527701A (en) * | 2020-12-11 | 2021-03-19 | 深圳航天智慧城市系统技术研究院有限公司 | Multi-system linkage control method, device, equipment and computer readable storage medium |
CN112527701B (en) * | 2020-12-11 | 2024-10-15 | 深圳航天智慧城市系统技术研究院有限公司 | Multisystem linkage control method, device, equipment and computer readable storage medium |
CN112905114A (en) * | 2021-02-10 | 2021-06-04 | 山东英信计算机技术有限公司 | Performance adjusting method, system and medium for distributed storage |
CN112905114B (en) * | 2021-02-10 | 2022-09-20 | 山东英信计算机技术有限公司 | Performance adjusting method, system and medium for distributed storage |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108737573A (en) | A kind of distributed storage cluster and its service response control method, device and equipment | |
US10623481B2 (en) | Balancing resources in distributed computing environments | |
CN104102543B (en) | The method and apparatus of adjustment of load in a kind of cloud computing environment | |
CN103440160B (en) | Virtual machine restoration methods and virtual machine migration method and device and system | |
US8782215B2 (en) | Performance testing in a cloud environment | |
CN108182105B (en) | Local dynamic migration method and control system based on Docker container technology | |
CN105103506B (en) | For the method and system for the non-homogeneous bandwidth request allocation bandwidth in system for cloud computing | |
US8305911B2 (en) | System and method for identifying and managing service disruptions using network and systems data | |
CN108733509A (en) | Method and system for data to be backed up and restored in group system | |
CN105138679B (en) | A kind of data processing system and processing method based on distributed caching | |
CN103473115B (en) | virtual machine placement method and device | |
CN102037681A (en) | Method and apparatus for managing computing resources of management systems | |
JP2016537705A (en) | Method, apparatus and system for virtual machine migration management | |
CN109783151B (en) | Method and device for rule change | |
CN106656533A (en) | Method and device for monitoring load processing of cluster system | |
WO2019108465A1 (en) | Automated capacity management in distributed computing systems | |
CN109873714A (en) | Cloud computing node configures update method and terminal device | |
CN110019481A (en) | Memory database access method, device, equipment and medium | |
CN109039694B (en) | Global network resource allocation method and device for service | |
WO2020206699A1 (en) | Predicting virtual machine allocation failures on server node clusters | |
CN106020732A (en) | Node disk space determining method and system | |
CN115665263B (en) | Flow allocation method, device, server and storage medium | |
CN115470303B (en) | Database access method, device, system, equipment and readable storage medium | |
CN106776034A (en) | A kind of task batch processing computational methods, master station computer and system | |
CN110109758A (en) | A kind of cloud computing resources distribution method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181102 |