CN104156216A - Heterogeneous storage management system and method oriented to cloud computing - Google Patents
Heterogeneous storage management system and method oriented to cloud computing Download PDFInfo
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Abstract
The invention provides a heterogeneous storage management architecture system and method oriented to cloud computing. The system comprises a physical storage clustering module, a driving adaption layer module, a data access scheduling module, a uniform storage interface module and a client. According to the system and method, due to the fact that different storing types in the rear end physical storage clustering module are packaged, a uniform interface is provided for the front end. Different drivers provided by different block equipment service manufacturers can be provided with uniform interfaces. The expandability of a cloud service platform can be greatly improved, high cohesion and low coupling of cloud service platform architecture are achieved, flexible expandability is achieved under a cloud computing environment, and construction of private cloud and public cloud of enterprises is achieved.
Description
Technical field
The present invention relates to Computer Applied Technology, relate in particular to the memory management system and method that a kind of facing cloud calculates.
Background technology
Along with the rise of cloud computing, just there is deep change in computer realm.China's cloud computing service market is in the starting stage, and cloud computing technology and equipment have possessed certain development foundation.China's cloud computing service market in general scale is less, but it is obvious to catch up with the impetus.Estimate according to Gartner, portion is less than 3% in the cloud computing service market in approximately 90,000,000,000 dollars, the whole world for China in 2011, but a year speedup reaches 40%, expects that following China and external gap aspect cloud computing will dwindle gradually.
Sum up cloud computing and there is following feature:
(1) ultra-large: " cloud " has suitable scale, the Google of Google cloud computing has had more than 100 ten thousand station servers, and Amazon, IBM, Microsoft, Yahoo etc. " cloud " all has hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station servers." cloud " can give user unprecedented computing power.
(2) virtual: cloud computing support user at an arbitrary position, use various terminals to obtain application service.Requested resource is from " cloud ", instead of fixing tangible entity.Be applied in somewhere operation in " cloud ", but in fact user without the particular location of understanding, also do not worry application operation.Only need a notebook or a mobile phone, just can realize all that we need by network service, even comprise the task that supercomputing is such.
(3) high reliability: " cloud " used the measures such as the many copies of data are fault-tolerant, computing node isomorphism is interchangeable to ensure the high reliability of service, uses cloud computing more reliable than using local computer.
(4) versatility: cloud computing, not for specific application, can construct Protean application under the support of " cloud ", same " cloud " can support different application operations simultaneously.
(5) enhanced scalability: the scale of " cloud " can dynamic retractility, meets the needs of application and userbase growth.
(6) on-demand service: " cloud " is a huge resource pool, and you buy as required; Cloud can look like tap water, electricity, the such charging of coal gas.
(7) extremely cheap: to form cloud because the special fault-tolerant measure of " cloud " can adopt extremely cheap node, the robotization centralized management of " cloud " makes a large amount of enterprises without the day by day high data center's handling cost of burden, the versatility of " cloud " makes the utilization factor of resource significantly promote than legacy system, therefore user can enjoy the low-cost advantage of " cloud " to the full, often as long as cost hundreds of dollar, several days time need the task that tens thousand of dollars, time several months just can complete before just completing.
Along with the development of cloud computing, the cloud management platform of releasing both at home and abroad has all obtained development fast in recent years at aspects such as resource management, data processing, operation monitoring and interaction process.Aspect cloud management platform interaction process, although the research of managing about cloud both at home and abroad is at present still in the starting stage, fail to form the solution of system, but Ge great cloud computing manufacturer and the community that increases income all make positive exploration to cloud intellectual management technology from different perspectives.
Use for reference domestic and international existing correlative study achievement, in conjunction with the advantage of current cloud management platform, researching and developing comprehensive, cross-platform, intelligent, large-scale cloud management platform will have great economy and social value.Can support that extensive cloud resource intelligentization management and the cloud management platform of scheduling, extensive magnanimity cloud data intelligent management and processing, cloud operation intelligent monitoring and safety guarantee and the processing of cloud service intelligent interaction are one of main trend of cloud computing development.
In cloud management platform, in the face of having under flexible storage demand and performance requirement, computing node needs can dynamic appending virtual volume.The block device that virtual machine is mainly supported by cloud management platform is stored to realize.Block device has different types, the storage of rear end can be DAS (the direct extra storage of Direct Attached Storage), NAS (Network Attached Storage network attached storage), SAN (Storage Area Network storage area network), object storage or distributed file system.Now single storage class is only supported in cloud management platform rear end, more and more can not meet the needs of enterprise.
Summary of the invention
In order to address the above problem, the present invention proposes the memory management framework that a kind of facing cloud calculates, make cloud management platform rear end support multiple different storage class, greatly improve the extensibility of cloud service platform, high cohesion and the low coupling of cloud service platform framework are realized, realize the flexible extensibility under cloud computing environment, met the structure of the privately owned cloud of enterprise, publicly-owned cloud.
In order to achieve the above object, the present invention proposes system described in the memory management system that a kind of facing cloud calculates comprises: physical store cluster module, drive adaptation layer module, data access scheduler module, unified store interface module.
Described physical store cluster module, comprises dissimilar storage system, supports the application net iSCSI and the network file system(NFS) NFS agreement that build by storage area network and communication subsystem that storage space is externally provided.
Described driving adaptation layer module, to drive adaptive mode to unify the interface accessing of different storage class agreements; The described dissimilar storage system that iSCSI and NFS agreement are provided that described driving adaptation layer is respectively in described physical store cluster module is carried out the adaptation access of interface.
Described data access scheduler module, adopts message queue to ask to conduct interviews scheduling to the data I/O I/O of access; Process the task of described message queue, and in described driving adaptation layer module, select suitable driving adapter nodes to execute the task according to predetermined policy, described data access scheduler module selects a live-vertex of volume minimum number to create volume.
Described unified store interface module, externally provides the statement sexual state of standard to shift Rest application programming interface API Access mode, is responsible for receiving and processes Rest request, and described request being put into the described message queue of described data access scheduler module.
Preferably, the described dissimilar storage system in described physical store cluster module comprises: application net IP SAN, distributed storage, object storage that directly extra storage DAS, network attached storage NAS, storage area network and communication subsystem build.
Preferably, described to drive adaptive mode the interface accessing of different storage class agreements to be carried out to unified service operation on memory node, managed storage space; On each described memory node, have a described driving adaptation module, multiple described memory nodes join together to form memory resource pool.
Preferably, described to drive before adaptive mode unifies the interface accessing of different storage class agreements, each described memory node generates a storage example in the mode of registration, a network attached storage NAS driving arrangement can add multiple described NAS physical storage devices, described in each, after the registration of NAS physical storage device, can one of correspondence store example, the information recording of described storage example is in described data access scheduler module.
Preferably, the queue of described data access scheduler module employing message trunking conducts interviews to dispatch to the data I/O request of access and also comprises: the storage information of the storage example of the described driving adaptation layer module that record is registered, and select different storage examples to issue the order that creates volume according to volume size, the speed of applying in request content; The storage information of described storage example, comprises the protocol IP address that interconnects between the type, network of storage, uses and memory allocated space size, storage speed size.
The invention allows for a kind of memory management method that facing cloud calculates, described method comprises:
Unified store interface module receives and processes Rest request in the Rest API Access mode of standard, and described request is put into the message queue of data access scheduler module.
Described data access scheduler module adopts message trunking queue to ask to conduct interviews scheduling to the data IO of access; Process the task of described message queue, and in driving adaptation layer module, select suitable driving adapter nodes to execute the task according to predetermined policy, described data access scheduler module selects a live-vertex of volume minimum number to create volume.
Drive adaptation layer module to drive adaptive mode to unify the interface accessing of different storage class agreements; The different storage class that iSCSI and NFS agreement are provided that described driving adaptation layer is respectively in physical store cluster module is carried out the adaptation access of interface.
Described physical store cluster comprises dissimilar storage system, supports the application net iSCSI and the network file system(NFS) NFS agreement that build by storage area network and communication subsystem that storage space is externally provided.
Preferably, the described dissimilar storage system in described physical store cluster module comprises: DAS, NAS, IP SAN, distributed storage, object storage.
Preferably, described to drive adaptive mode the interface accessing of different storage class agreements to be carried out to unified service operation on memory node, managed storage space; On each described memory node, have a described driving adaptation module, multiple described memory nodes join together to form memory resource pool.
Preferably, described to drive before adaptive mode unifies the interface accessing of different storage class agreements, each described memory node generates a storage example in the mode of registration, a NAS driving arrangement can add multiple NAS physical storage devices, described in each, after the registration of NAS physical storage device, can one of correspondence store example, the information recording of described storage example is in described data access scheduler module.
Preferably, the queue of described data access scheduler module employing message trunking conducts interviews to dispatch to the data IO request of access and also comprises: the storage information of the storage example of the described driving adaptation layer module that record is registered, and select different storage examples to issue the order that creates volume according to volume size, the speed of applying in request content; The storage information of described storage example, comprises the type, IP address of storage, uses and memory allocated space size, storage speed size.
Compared with prior art, memory management architecture system and method that a kind of facing cloud provided by the invention calculates, this system comprises physical store cluster module, driving adaptation layer module, data access scheduler module, unified store interface module and client; This system and method encapsulates by different storage class in the physical store cluster module to rear end, provides unified interface to front end.The storage class of rear end can be DAS, NAS, SAN, object storage or distributed file system.The different driving of serving manufacturer and provide for different block devices has realized the unification of interface.Utilize this method can greatly improve the extensibility of cloud service platform, realized high cohesion and the low coupling of cloud service platform framework, realized the flexible extensibility under cloud computing environment, meet the structure of the privately owned cloud of enterprise, publicly-owned cloud.
Brief description of the drawings
Below the accompanying drawing in the embodiment of the present invention is described, the accompanying drawing in embodiment is for a further understanding of the present invention, is used from explanation the present invention with instructions one, does not form limiting the scope of the invention.
The memory management block architecture diagram that Fig. 1 facing cloud calculates;
The memory management framework detailed structure view that Fig. 2 facing cloud calculates;
The embodiment process flow diagram of the process of a virtual volume of Fig. 3 client application.
Embodiment
For the ease of those skilled in the art's understanding, below in conjunction with accompanying drawing, the invention will be further described, can not be used for limiting the scope of the invention.
It should be noted that, in the situation that not conflicting, the combination in any mutually of the feature in embodiment and embodiment in the application.
Describe embodiments of the present invention in detail below with reference to drawings and Examples, to the present invention, how application technology means solve technical matters whereby, and the implementation procedure of reaching technique effect can fully understand and implement according to this.Each feature in the embodiment of the present application and embodiment is the mutually combining under prerequisite of not conflicting mutually, all within protection scope of the present invention.
First, as shown in Figure 1, the present invention proposes the memory management system 01 that a kind of facing cloud calculates, described system comprises: physical store cluster module 05, driving adaptation layer module 04, data access scheduler module 03 and unified store interface module 02.
Described physical store cluster module 05, comprises dissimilar storage system, supports the application net iSCSI and the network file system(NFS) NFS agreement that build by storage area network and communication subsystem that storage space is externally provided.
Preferably, the described dissimilar storage system in described physical store cluster module 05 comprises: DAS (the direct extra storage of Direct Attached Storage), NAS (Network Attached Storage network attached storage), IP SAN (the application net that storage area network and communication subsystem build), distributed storage, object storage.
Described driving adaptation layer module 04, to drive adaptive mode to unify the interface accessing of different storage class agreements.The described dissimilar storage system that iSCSI and NFS agreement are provided that described driving adaptation layer is respectively in described physical store cluster module is carried out the adaptation access of interface.
Preferably, described to drive adaptive mode the interface accessing of different storage class agreements to be carried out to unified service operation on memory node, managed storage space; On each described memory node, have a described driving adaptation module 04, multiple described memory nodes join together to form memory resource pool.
Preferably, described to drive before adaptive mode unifies the interface accessing of different storage class agreements, each described memory node generates a storage example in the mode of registration, a NAS driving arrangement can add multiple NAS physical storage devices, described in each, after the registration of NAS physical storage device, can one of correspondence store example, the information recording of described storage example is in described data access scheduler module 03.
Described data access scheduler module 03, adopts message queue to ask to conduct interviews scheduling to the data I/O I/O of access; Process the task of described message queue, and in described driving adaptation layer module 04, select suitable driving adapter nodes to execute the task according to predetermined policy, described data access scheduler module 03 selects a live-vertex of volume minimum number to create volume.Preferably, described data access scheduler module 03 adopts message trunking queue also to comprise the data I/O request of the access scheduling that conducts interviews: the storage information of the storage example of the described driving adaptation layer module 04 of record registration, and select different storage examples to issue the order that creates volume according to volume size, the speed of applying in request content.
Preferably, the storage information of described storage example, comprises the type, IP address of storage, uses and memory allocated space size, storage speed size.
Described unified store interface module 02, externally provides the statement sexual state of standard to shift Rest application programming interface API Access mode, is responsible for receiving and processes Rest request, and described request being put into the message queue of described data access scheduler module 03.
Client provides the management function that creates volume, inquiry volume, deletion volume, unloading volume in this locality, carries out data transmission by the described unified store interface module 02 of described Rest API Access mode and rear end.
A kind of memory management method that the present invention also provides facing cloud to calculate, described method mainly comprises the following steps:
Step S100, client provide the management function that creates volume, inquiry volume, deletion volume, unloading volume in this locality, carry out data transmission by the unified store interface module 02 of Rest API Access mode and rear end.
Step S101, unified store interface module 02 receive and process Rest request in the Rest API Access mode of standard, and described request are put into the message queue of data access scheduler module 03.
Step S102, described data access scheduler module 03 adopt message trunking queue to ask to conduct interviews scheduling to the data IO of access.
Preferably, consider storage size, message queue is generally a larger cluster message queue.
Preferably, described data access scheduler module 03 adopts message trunking queue to comprise the data I/O request of the access scheduling that conducts interviews: the task of Processing tasks queue, and select suitable driving adapter nodes to execute the task according to predetermined policy, described data access scheduler module 03 selects a live-vertex of volume minimum number to create volume.
Preferably, described data access scheduler module 03 adopts message trunking queue also to comprise the data I/O request of the access scheduling that conducts interviews: the storage information of the storage example of the driving adaptation layer module 04 of record registration, and select different storage examples to issue the order that creates volume according to volume size, the speed of applying in request content.
Preferably, the storage information of described storage example, comprises the type, IP address of storage, uses and memory allocated space size, storage speed size.
Step S103, driving adaptation layer module 04 are to drive adaptive mode to unify the interface accessing of different storage class agreements; The adaptation access that provides the different storage class of iSCSI and NFS agreement to carry out interface is provided described driving adaptation layer.
Preferably, the described dissimilar storage system in described physical store cluster module 05 comprises: DAS, NAS, IP SAN, distributed storage, object storage.
Preferably, described to drive adaptive mode the interface accessing of different storage class agreements to be carried out to unified service operation on memory node, managed storage space; On each described memory node, have a described driving adaptation module, multiple described memory nodes join together to form memory resource pool.
Preferably, described to drive before adaptive mode unifies the interface accessing of different storage class agreements, each described memory node generates a storage example in the mode of registration, a NAS driving arrangement can add multiple NAS physical storage devices, described in each, after the registration of NAS physical storage device, can one of correspondence store example, the information recording of described storage example is in described data access scheduler module.
Step S104, physical store cluster module 05 comprise dissimilar storage system, support the application net iSCSI and the network file system(NFS) NFS agreement that build by storage area network and communication subsystem that storage space is externally provided.
Memory management architecture system and method that a kind of facing cloud provided by the invention calculates, by the different storage in rear end is encapsulated, provide unified interface to front end.The storage of rear end can be DAS, NAS, SAN, object storage or distributed file system.Different block devices is served manufacturer by providing different drivings to realize the unification of interface.Utilize this method can greatly improve the extensibility of cloud service platform, realized high cohesion and the low coupling of cloud service platform framework, realized the flexible extensibility under cloud computing environment, meet the structure of the privately owned cloud of enterprise, publicly-owned cloud.
Introduce one embodiment of the present of invention below, user is by the process of a virtual volume of client application.
Fig. 3 is process flow diagram according to an embodiment of the invention.
As shown in Figure 3, cluster server dispositions method comprises the steps.
Step S110, client application creates a virtual volume, and client is initiated a request, and content comprises the size, speed step, client ip of virtual volume etc.
Step S111, sends to unified memory interface with Rest interface mode by request.
Step S112, data access scheduler module is selected suitable driving layer according to request, in data dispatch module, recording the storage information of chartered driving adaptation layer storage example, these information comprise the type, IP address of storage, use and memory allocated space size, storage speed size.Data access scheduler module is according to the volume size of the content application of request, and speed selects different storage examples to issue the order that creates volume.
Step S113, drives adaptation layer to call the notice of settlement physical store clusters such as iSISC and removes to create volume, removes to investigate corresponding memory command herein according to the driving establishing layer difference of selecting.
Step S114, physical store cluster creates real volume, and result is returned, and mainly realizes by the order of different physical store.
Step S115, data access dispatch layer drives adaptation layer to return results, recorded information, the corresponding relation of essential record physical volume and virtual volume, shines upon during for data access.
Step S116, establishment volume information is turned back to client by unified memory interface.
Step S117, sends to unified memory interface with Rest interface mode by request.
In addition, can in the computer system such as one group of computer executable instructions, carry out in the step shown in the process flow diagram of accompanying drawing 3.And, although there is shown logical order in flow process, in some cases, can carry out shown or described step with the order being different from herein.
The all or part of step that one of ordinary skill in the art will appreciate that above-described embodiment can realize by computer program flow process, described computer program can be stored in a computer-readable recording medium, described computer program (as system, unit, device etc.) on corresponding hardware platform is carried out, in the time carrying out, comprise step of embodiment of the method one or a combination set of.
Alternatively, all or part of step of above-described embodiment also can realize with integrated circuit, and these steps can be made into respectively integrated circuit modules one by one, or the multiple modules in them or step are made into single integrated circuit module realize.Like this, the present invention is not restricted to any specific hardware and software combination.
Each device/functional module/functional unit in above-described embodiment can adopt general calculation element to realize, and they can concentrate on single calculation element, also can be distributed on the network that multiple calculation elements form.
Each device/functional module/functional unit in above-described embodiment is realized and during as production marketing independently or use, can be stored in a computer read/write memory medium using the form of software function module.The above-mentioned computer read/write memory medium of mentioning can be ROM (read-only memory), disk or CD etc.
It should be noted that; above-described embodiment understands for the ease of those skilled in the art; be not limited to protection scope of the present invention; do not departing under the prerequisite of inventive concept of the present invention, any apparent replacement and improvement etc. that those skilled in the art make the present invention are all within protection scope of the present invention.
Claims (10)
1. the memory management system that facing cloud calculates, is characterized in that, described system comprises: physical store cluster module, driving adaptation layer module, data access scheduler module, unified store interface module;
Described physical store cluster module, comprises dissimilar storage system, supports the application net iSCSI and the network file system(NFS) NFS agreement that build by storage area network and communication subsystem that storage space is externally provided;
Described driving adaptation layer module, to drive adaptive mode to unify the interface accessing of different storage class agreements; The described dissimilar storage system that iSCSI and NFS agreement are provided that described driving adaptation layer is respectively in described physical store cluster module is carried out the adaptation access of interface;
Described data access scheduler module, adopts message queue to ask to conduct interviews scheduling to the data I/O I/O of access; Process the task of described message queue, and in described driving adaptation layer module, select suitable driving adapter nodes to execute the task according to predetermined policy, described data access scheduler module selects a live-vertex of volume minimum number to create volume;
Described unified store interface module, externally provides the statement sexual state of standard to shift Rest application programming interface API Access mode, is responsible for receiving and processes Rest request, and described request being put into the described message queue of described data access scheduler module.
2. the system as claimed in claim 1, it is characterized in that, the described dissimilar storage system in described physical store cluster module comprises: application net IP SAN, distributed storage, object storage that directly extra storage DAS, network attached storage NAS, storage area network and communication subsystem build.
3. the system as claimed in claim 1, is characterized in that, described to drive adaptive mode the interface accessing of different storage class agreements to be carried out to unified service operation on memory node, managed storage space; On each described memory node, have a described driving adaptation module, multiple described memory nodes join together to form memory resource pool.
4. system as claimed in claim 3, it is characterized in that, described to drive before adaptive mode unifies the interface accessing of different storage class agreements, each described memory node generates a storage example in the mode of registration, a network attached storage NAS driving arrangement can add multiple described NAS physical storage devices, described in each, after the registration of NAS physical storage device, can one of correspondence store example, the information recording of described storage example is in described data access scheduler module.
5. the system as claimed in claim 1, it is characterized in that, the queue of described data access scheduler module employing message trunking conducts interviews to dispatch to the data I/O request of access and also comprises: the storage information of the storage example of the described driving adaptation layer module that record is registered, and select different storage examples to issue the order that creates volume according to volume size, the speed of applying in request content; The storage information of described storage example, comprises the protocol IP address that interconnects between the type, network of storage, uses and memory allocated space size, storage speed size.
6. the memory management method that facing cloud calculates, is characterized in that, described method comprises:
Unified store interface module receives and processes Rest request in the Rest API Access mode of standard, and described request is put into the message queue of data access scheduler module;
Described data access scheduler module adopts message trunking queue to ask to conduct interviews scheduling to the data IO of access; Process the task of described message queue, and in driving adaptation layer module, select suitable driving adapter nodes to execute the task according to predetermined policy, described data access scheduler module selects a live-vertex of volume minimum number to create volume;
Drive adaptation layer module to drive adaptive mode to unify the interface accessing of different storage class agreements; The different storage class that iSCSI and NFS agreement are provided that described driving adaptation layer is respectively in physical store cluster module is carried out the adaptation access of interface;
Described physical store cluster comprises dissimilar storage system, supports the application net iSCSI and the network file system(NFS) NFS agreement that build by storage area network and communication subsystem that storage space is externally provided.
7. method as claimed in claim 6, is characterized in that, the described dissimilar storage system in described physical store cluster module comprises: DAS, NAS, IP SAN, distributed storage, object storage.
8. method as claimed in claim 6, is characterized in that, described to drive adaptive mode the interface accessing of different storage class agreements to be carried out to unified service operation on memory node, managed storage space; On each described memory node, have a described driving adaptation module, multiple described memory nodes join together to form memory resource pool.
9. method as claimed in claim 8, it is characterized in that, described to drive before adaptive mode unifies the interface accessing of different storage class agreements, each described memory node generates a storage example in the mode of registration, a NAS driving arrangement can add multiple NAS physical storage devices, described in each, after the registration of NAS physical storage device, can one of correspondence store example, the information recording of described storage example is in described data access scheduler module.
10. method as claimed in claim 6, it is characterized in that, the queue of described data access scheduler module employing message trunking conducts interviews to dispatch to the data IO request of access and also comprises: the storage information of the storage example of the described driving adaptation layer module that record is registered, and select different storage examples to issue the order that creates volume according to volume size, the speed of applying in request content; The storage information of described storage example, comprises the type, IP address of storage, uses and memory allocated space size, storage speed size.
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