CN106375427A - Link redundancy optimization method for distributed SAN (Storage Area Network) storage system - Google Patents

Link redundancy optimization method for distributed SAN (Storage Area Network) storage system Download PDF

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Publication number
CN106375427A
CN106375427A CN201610791093.3A CN201610791093A CN106375427A CN 106375427 A CN106375427 A CN 106375427A CN 201610791093 A CN201610791093 A CN 201610791093A CN 106375427 A CN106375427 A CN 106375427A
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China
Prior art keywords
memory node
client
san
high availabitity
configuration
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CN201610791093.3A
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Chinese (zh)
Inventor
冯龙
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Inspur Beijing Electronic Information Industry Co Ltd
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Inspur Beijing Electronic Information Industry Co Ltd
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Priority to CN201610791093.3A priority Critical patent/CN106375427A/en
Publication of CN106375427A publication Critical patent/CN106375427A/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
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/22Arrangements for detecting or preventing errors in the information received using redundant apparatus to increase reliability
    • 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

Abstract

The invention discloses a link redundancy optimization method for a distributed SAN storage system. The method comprises the steps of configuring an SAN service on each storage node; adding high-available configuration to each storage node; randomly allocating multiple connection requests to the storage nodes through utilization of the high-available configuration when the multiple connection requests are received, thereby finishing the butt joint between a client and the storage nodes; and providing a new connection link for the client through adoption of the high-available configuration when a fault occurs at a storage node. According to the method, the high-available configuration is added to original multipath link redundancy, the reliability of the SAN is ensured, network loads of the storage nodes are balanced, and a bandwidth utilization rate of a storage cluster is improved.

Description

A kind of distributed san storage system link redundancy optimization method
Technical field
The present invention relates to memory system technologies field, more particularly to a kind of distributed san storage system link redundancy is excellent Change method.
Background technology
At present, existing distributed memory system has very high requirement to reliability and handling capacity.When storage system is gathered around When having a large amount of memory node, the probability that memory node breaks down can greatly increase, and after memory node breaks down, still protects The card client reading and writing data lasting to storage system is most important.When there being a large amount of client hosts to access storage system, deposit Storage system needs to provide sufficiently large bandwidth for user rs host, makes full use of the bandwidth of each memory node, thus improving whole The bandwidth availability ratio of storage system is extremely important.San (storage area network, storage area network) adopts netted logical Road technology, connects storage array server main frame by fc switch, sets up the Local Area Network being exclusively used in data storage.
General san design of memory systems scheme is as service providing end using a few node, joins in client Put multipath strategy, but under large-scale distributed san storage system scene, the link redundancy that traditional multipath strategy provides Limited, redundant link is less, and two service nodes are not enough to support the bandwidth of whole distributed storage cluster simultaneously, and bandwidth uses Unbalanced, so distributed san storage system link reliability is relatively low, and storage cluster bandwidth availability ratio is relatively low.
Content of the invention
It is an object of the invention to provide a kind of distributed san storage system link redundancy optimization method, divided with realizing improving Cloth san storage system link reliability, lifts storage cluster bandwidth availability ratio.
For solving above-mentioned technical problem, the present invention provides a kind of distributed san storage system link redundancy optimization method, bag Include:
Configuration san service on each memory node;
Each memory node is added with High Availabitity configuration;
When receiving multiple connection request, using High Availabitity configuration, the plurality of connection request is randomly assigned to respectively depositing Storage node, completes docking of client and memory node;
When a memory node breaks down, being configured to client using High Availabitity provides new connecting link.
Preferably, described san services the connection request for processing client;Described High Availabitity configuration includes High Availabitity machine System and High Availabitity allocation strategy.
Preferably, after described configuration san service on each memory node, also include: will be initial for each memory node Change to same state.
Preferably, described configuration san service on each memory node, comprising:
San memory interface towards client layer is set in each memory node.
Preferably, described when receiving multiple connection request, using High Availabitity configuration by the plurality of connection request with Machine distributes to each memory node, comprising:
When there being multiple client to access storage system, receive the connection request of multiple client, joined using High Availabitity Put and the connection request of multiple client is connect according to the san storage that High Availabitity allocation strategy uniformly distributes to each memory node Mouthful.
Preferably, after the described interpolation High Availabitity configuration to each memory node, also include: configure multipath in client Strategy, storage link is assigned to different virtual ip addresses.
Preferably, described it is configured to client using High Availabitity new connecting link is provided, comprising:
Find, using High Availabitity configuration, the memory node that new memory node replacement breaks down, set up client with described Connecting link between new memory node.
A kind of distributed san storage system link redundancy optimization method provided by the present invention, on each memory node Configuration san service;Each memory node is added with High Availabitity configuration;When receiving multiple connection request, joined using High Availabitity Put and the plurality of connection request is randomly assigned to each memory node, complete docking of client and memory node;When one is deposited During storage nodes break down, being configured to client using High Availabitity provides new connecting link.It can be seen that, when there being a large amount of connection requests During arrival, multiple connection requests can be randomly assigned to each memory node for High Availabitity configuration, complete client and memory node Docking, provides service for user rs host, realizes the load balancing in bandwidth aspect for each memory node, improves distributed san storage System link reliability, when certain memory node breaks down, being configured to client by High Availabitity provides a new connection Path, realizes the redundancy scheme more relatively reliable than traditional multipath, so with the addition of height on original multipath link redundancy can With configuration, the offered load of each memory node, the bandwidth of lifting storage cluster while ensureing san reliability, can be equalized Utilization rate.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing providing obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of distributed san storage system link redundancy optimization method provided by the present invention;
Fig. 2 is storage system link redundancy structural representation.
Specific embodiment
The core of the present invention is to provide a kind of distributed san storage system link redundancy optimization method, is divided with realizing improving Cloth san storage system link reliability, lifts storage cluster bandwidth availability ratio.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention it is clear that described embodiment is only The a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art The every other embodiment being obtained under the premise of not making creative work, broadly falls into the scope of protection of the invention.
Refer to Fig. 1, Fig. 1 is a kind of distributed san storage system link redundancy optimization method provided by the present invention Flow chart, the method includes:
S11: configuration san service on each memory node;
S12: each memory node is added with High Availabitity configuration;
S13: when receiving multiple connection request, using High Availabitity configuration, multiple connection requests are randomly assigned to respectively depositing Storage node, completes docking of client and memory node;
S14: when a memory node breaks down, being configured to client using High Availabitity provides new connecting link.
It can be seen that, when there being a large amount of connection requests to reach, multiple connection requests can be randomly assigned to respectively depositing for High Availabitity configuration Storage node, completes docking of client and memory node, provides for user rs host and services, realizes each memory node in bandwidth aspect Load balancing, improve distributed san storage system link reliability, when certain memory node breaks down, by High Availabitity Being configured to client provides a new access path, realizes the redundancy scheme more relatively reliable than traditional multipath, so former Have on multipath link redundancy and with the addition of High Availabitity configuration, each memory node can be equalized while ensureing san reliability Offered load, the bandwidth availability ratio of lifting storage cluster.
Based on said method, specifically, san services the connection request for processing client.High Availabitity configuration includes height Available mechanism and High Availabitity allocation strategy, that is, when receiving multiple connection request, using high availability mechanism and High Availabitity strategy Multiple connection requests are randomly assigned to each memory node, complete docking of client and memory node.Using High Availabitity distribution Strategy can equalize the bandwidth load of each memory node, is easy to the unified configuration management of each memory node san service.
Further, after step s11, also include: each memory node is initialised to same state.
Wherein, the process of step s11 is particularly as follows: arrange the san memory interface towards client layer in each memory node.
In step s13, when receiving multiple connection request, using High Availabitity configuration, multiple connection requests are randomly assigned To each memory node process particularly as follows: when have multiple client access storage system when, receive the connection of multiple client The connection request of multiple client is uniformly distributed to each according to High Availabitity allocation strategy using High Availabitity configuration and is deposited by request The san memory interface of storage node.
Wherein, after step s12, also include: configure multipath strategy in client, storage link is assigned to different Virtual ip address.
In step s14, being configured to client using High Availabitity provides the process of new connecting link particularly as follows: can using height Find, with configuration, the memory node that new memory node replacement breaks down, set up the company between client and new memory node Chain link road.
Specifically, in large-scale distributed storage system, the san providing user oriented layer in each memory node deposits The access of client, when there being a large amount of external client to access storage system, is connected using High Availabitity configuration and issues by storage interface To the san memory interface of each memory node, when the san service fault of certain memory node, it is client by high availability mechanism End provides a new access path, is achieved in that the redundancy scheme more relatively reliable than traditional multipath.
When there being a large amount of connection requests to reach, high availability mechanism can exclude event first according to a set allocative decision Barrier node, then the memory node of prioritizing selection relative free is client offer service, realizes each memory node in bandwidth layer The load balancing in face.This method solves the weak point of original san deployment scheme, adds after original multipath link redundancy One floor height available policies, while ensureing san reliability, can equalize the offered load of each memory node, lifting storage The bandwidth availability ratio of cluster.
This method is mainly for redundant link present in traditional san storage scheme is less, bandwidth is asked using unbalanced Topic, realizes improving distributed san storage link reliability, optimizes the load balancing in bandwidth aspect for each memory node.Specifically come Say i.e. deployment san service on each node of cluster, and be initialised to same state;It is that storage system configuration is multigroup high on demand Available solutions, for providing san service to client;When High Availabitity configuration receives multiple connection request, by connection request It is that High Availabitity allocation strategy is randomly assigned to each memory node according to certain strategy, complete client and deposit with memory node san The docking of storage node;When certain memory node breaks down, High Availabitity configuration will provide fault-free for new client request Path connect, and preferentially provide relative free memory node;Meanwhile, the client to Connection Service, on the one hand enables Multipath link provides service, on the other hand by High Availabitity strategy, failure path is replaced with active path.
Storage system link redundancy structure as shown in Fig. 2 first, services in each memory node configuration san, for processing The request of client;Then, carry out High Availabitity configuration in memory node, when client accesses the virtual ip of High Availabitity, virtual Client connection is uniformly distributed to each memory node by dividing equally strategy by ip;Finally, configure multipath plan in client Slightly, storage link is separately assigned to different virtual ip, finally realizes client to the configuration of memory node redundant link.All Strategy is divided to belong to High Availabitity allocation strategy.
Taking the scene in Fig. 2 as a example, when client 1 needs san storage service, configure multipath strategy first, respectively Being assigned to two virtual ip is the virtual ip of the High Availabitity 1 and virtual ip of High Availabitity 2, then is divided for client by High Availabitity allocation strategy Join memory node, this allocation strategy will be fixed a breakdown node first, then preferentially the memory node of distribution relative free is client Main frame provides service, such as memory node 1 and memory node 3.During providing service, when memory node 1 breaks down When, due to the presence of multipath, memory node 3 will be had to provide service, High Availabitity strategy can be found new memory node and replace simultaneously The node that generation breaks down.Compare traditional san link redundancy scheme, the present invention has more reliable link redundancy strategy, utilize High Availabitity allocation strategy equalizes the bandwidth load of each memory node, is easy to unified configuration and the management of each memory node san service. Client in literary composition is client host.
To sum up, a kind of distributed san storage system link redundancy optimization method provided by the present invention, in each storage section Configuration san service on point;Each memory node is added with High Availabitity configuration;When receiving multiple connection request, can using height With configuration, multiple connection requests are randomly assigned to each memory node, complete docking of client and memory node;When one is deposited During storage nodes break down, being configured to client using High Availabitity provides new connecting link.It can be seen that, when there being a large amount of connection requests During arrival, multiple connection requests can be randomly assigned to each memory node for High Availabitity configuration, complete client and memory node Docking, provides service for user rs host, realizes the load balancing in bandwidth aspect for each memory node, improves distributed san storage System link reliability, when certain memory node breaks down, being configured to client by High Availabitity provides a new connection Path, realizes the redundancy scheme more relatively reliable than traditional multipath, so with the addition of height on original multipath link redundancy can With configuration, the offered load of each memory node, the bandwidth of lifting storage cluster while ensureing san reliability, can be equalized Utilization rate.
Above detailed Jie is carried out to a kind of distributed san storage system link redundancy optimization method provided by the present invention Continue.Specific case used herein is set forth to the principle of the present invention and embodiment, and the explanation of above example is only It is to be used to help understand the method for the present invention and its core concept.It should be pointed out that for those skilled in the art For, under the premise without departing from the principles of the invention, the present invention can also be carried out with some improvement and modify, these improve and repair Decorations also fall in the protection domain of the claims in the present invention.

Claims (7)

1. a kind of distributed san storage system link redundancy optimization method is it is characterised in that include:
Configuration san service on each memory node;
Each memory node is added with High Availabitity configuration;
When receiving multiple connection request, using High Availabitity configuration, the plurality of connection request is randomly assigned to each storage section Point, completes docking of client and memory node;
When a memory node breaks down, being configured to client using High Availabitity provides new connecting link.
2. the method for claim 1 is it is characterised in that described san services the connection request for processing client;Institute State High Availabitity configuration and include high availability mechanism and High Availabitity allocation strategy.
3. the method for claim 1 is it is characterised in that after described configuration san service on each memory node, go back Including: each memory node is initialised to same state.
4. the method for claim 1 is it is characterised in that described configure san service on each memory node, comprising:
San memory interface towards client layer is set in each memory node.
5. method as claimed in claim 4 it is characterised in that described when receiving multiple connection request, using High Availabitity The plurality of connection request is randomly assigned to each memory node for configuration, comprising:
When there being multiple client to access storage system, receive the connection request of multiple client, configuring using High Availabitity will The connection request of multiple client uniformly distributes to the san memory interface of each memory node according to High Availabitity allocation strategy.
6. the method for claim 1 it is characterised in that described to each memory node add High Availabitity configuration after, Also include: configure multipath strategy in client, storage link is assigned to different virtual ip addresses.
7. the method as described in any one in claim 1 to 6 is it is characterised in that described be configured to client using High Availabitity End provides new connecting link, comprising:
Find, using High Availabitity configuration, the memory node that new memory node replacement breaks down, set up client new with described Connecting link between memory node.
CN201610791093.3A 2016-08-31 2016-08-31 Link redundancy optimization method for distributed SAN (Storage Area Network) storage system Pending CN106375427A (en)

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Cited By (1)

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CN111866210A (en) * 2020-07-08 2020-10-30 苏州浪潮智能科技有限公司 Virtual IP balance distribution method, system, terminal and storage medium

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CN104715044A (en) * 2011-12-28 2015-06-17 北京奇虎科技有限公司 Distributed system and data manipulation method thereof
CN105657066A (en) * 2016-03-23 2016-06-08 天津书生云科技有限公司 Load rebalance method and device used for storage system

Patent Citations (6)

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Publication number Priority date Publication date Assignee Title
CN1358287A (en) * 1999-06-11 2002-07-10 存储技术公司 Intelligent storage area network
CN1434393A (en) * 2003-02-24 2003-08-06 武汉大学 Dynamic loading balance method for cluster server
CN101232422A (en) * 2008-01-18 2008-07-30 北京交通大学 Network storage system based on graticule technique
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