CN104954400A - Cloud computing system and realizing method thereof - Google Patents
Cloud computing system and realizing method thereof Download PDFInfo
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- CN104954400A CN104954400A CN201410117529.1A CN201410117529A CN104954400A CN 104954400 A CN104954400 A CN 104954400A CN 201410117529 A CN201410117529 A CN 201410117529A CN 104954400 A CN104954400 A CN 104954400A
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- 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]
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- 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
- H04L67/131—Protocols for games, networked simulations or virtual reality
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Abstract
The invention discloses a cloud computing system and a realizing method thereof. The cloud computing system comprises the components of computing cluster equipment, rendering cluster equipment, computing buffer cluster equipment, storing cluster equipment and a virtual managing machine. The virtual managing machine is used for integrating resources which are supplied by various kinds of cluster equipment to one or a plurality of virtual host computers which comprises a vCPU, a vGPU and a virtual memory resource. The virtual host computer is used as a unit for receiving a computing task which requires finishing by each virtual host computer, wherein each set of capability cluster equipment is connected with the virtual management machine through a high-speed external bus. The virtual management machine performs resource management and state maintenance on each set of capability cluster equipment. According to the cloud computing system and the realizing method, the cloud computing system which is divided based on capability assemblies, is expanded through the external buses and has a capability of flexibly scheduling and expanding the resource is provided.
Description
Technical field
The present invention relates to field of cloud computer technology, particularly a kind of cloud computing system and its implementation.
Background technology
The feature of cloud computing is the flexible scheduling of resource " pond " change and resource.The accumulation of existing cloud computing resource pool server apparatus often, therefore, existing cloud computing system needs to add new server when expanding system capacity, such as when the overall cpu busy percentage of system is too high, CPU number is increased, this waste causing capability resource and energy consumption in the mode of newly putting whole station server extended capability resource by adding new server.
Summary of the invention
The present inventor finds to have problems in above-mentioned prior art, and therefore proposes a kind of new technical scheme at least one problem in described problem.
An object of the present invention is to provide a kind of technical scheme for cloud computing system.
According to a first aspect of the invention, provide a kind of cloud computing system, comprising:
Computing cluster equipment, for providing CPU Computational Physics resource;
Render farm equipment, for providing GPU Computational Physics resource;
Calculate cache cluster equipment, for providing buffer memory and the exchange resource of data for CPU Computational Physics resource or GPU Computational Physics resource;
Storage cluster equipment, for providing data storage resource; With
Virtual management machine, for resource consolidation that various capability set group facility is provided for one or more comprises vCPU(virtual cpu), the virtual GPU of vGPU() and the fictitious host computer of virtual memory resource, be unit with fictitious host computer, receive the calculation task needed by each fictitious host computer;
Wherein, described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment, described storage cluster equipment are connected by high speed outer bus with described virtual management machine, carry out resource management and state-maintenance by described virtual management machine to each capability set group facility.
Alternatively, cloud computing system comprises multiple whole machine cabinet, and each described whole machine cabinet inserts the resource pool board that is integrated with and is made up of some CPU, GPU, internal memory, hard disk hardware to form described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment and described storage cluster equipment.
Alternatively, each capability set group facility is consistent by one or more interface, can the board equipment of quick despatch form, and shares power supply and heat radiation.
Alternatively, high speed outer bus adopts optical fiber, InfiniBand(infinite bandwidth) or PCI-E(PCI-Express, the interconnected expansion of peripheral hardware) I/O technology.
Alternatively, existing cloud computing resource pool is by switching equipment and the intercommunication of I/O bus bar.
According to a further aspect in the invention, a kind of implementation method of cloud computing system is provided, comprises:
By computing cluster equipment for described cloud computing system provides CPU Computational Physics resource;
By render farm equipment for described cloud computing system provides GPU Computational Physics resource;
The CPU Computational Physics resource being described cloud computing system by calculating cache cluster equipment or GPU Computational Physics resource provide buffer memory and the exchange resource of data;
By storage cluster equipment for described cloud computing system provides data storage resource; With
By virtual management machine, resource management and state-maintenance are carried out to each capability set group facility, the resource consolidation that various capability set group facility provides is that one or more comprises the fictitious host computer of vCPU, vGPU and virtual memory resource by described virtual management machine, be unit with fictitious host computer, receive the calculation task completed by each fictitious host computer;
Wherein, described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment, described storage cluster equipment are connected by high speed outer bus with virtual management machine.
Alternatively, cloud computing system comprises multiple whole machine cabinet, and each described whole machine cabinet inserts the resource pool board that is integrated with and is made up of some CPU, GPU, internal memory, hard disk hardware to form described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment and described storage cluster equipment;
Alternatively, high speed outer bus adopts the I/O technology of optical fiber, InfiniBand or PCI-E.
Alternatively, each capability set group facility is consistent by one or more interface, can the board equipment of quick despatch form, and shares power supply and heat radiation.
Alternatively, the method also comprises: the ability being increased described cloud computing system by the mode increasing resource pool board in each cluster device.
Alternatively, existing cloud computing resource pool is connected by switching equipment with the mode of described high speed outer bus bar intercommunication.
An advantage of the present invention is, the physical resource of cloud computing system is divided according to ability cluster, when cloud computing disposal ability is not enough, can supplement corresponding capability resource as required, avoid other capability resources increasing redundancy, improve system utilization ratio.
By referring to the detailed description of accompanying drawing to exemplary embodiment of the present invention, further feature of the present invention and advantage thereof will become clear.
Accompanying drawing explanation
What form a part for specification drawings describes embodiments of the invention, and together with the description for explaining principle of the present invention.
With reference to accompanying drawing, according to detailed description below, clearly the present invention can be understood, wherein:
Fig. 1 illustrates the hardware configuration schematic diagram according to a cloud computing system of the present invention embodiment;
Fig. 2 illustrates the system configuration schematic diagram according to a cloud computing system of the present invention embodiment;
Fig. 3 illustrates the flow chart of the implementation method embodiment according to cloud computing system of the present invention.
Embodiment
Various exemplary embodiment of the present invention is described in detail now with reference to accompanying drawing.It should be noted that: unless specifically stated otherwise, otherwise positioned opposite, the numerical expression of the parts of setting forth in these embodiments and step and numerical value do not limit the scope of the invention.
Meanwhile, it should be understood that for convenience of description, the size of the various piece shown in accompanying drawing is not draw according to the proportionate relationship of reality.
Illustrative to the description only actually of at least one exemplary embodiment below, never as any restriction to the present invention and application or use.
May not discuss in detail for the known technology of person of ordinary skill in the relevant, method and apparatus, but in the appropriate case, described technology, method and apparatus should be regarded as a part of authorizing specification.
In all examples with discussing shown here, any occurrence should be construed as merely exemplary, instead of as restriction.Therefore, other example of exemplary embodiment can have different values.
It should be noted that: represent similar terms in similar label and letter accompanying drawing below, therefore, once be defined in an a certain Xiang Yi accompanying drawing, then do not need to be further discussed it in accompanying drawing subsequently.
The present inventor notices, the cloud computing service required for different business is different, can be divided into the cloud computing abilities such as host computer (being subdivided into CPU to calculate and GPU calculating), primary storage (being subdivided into internal memory, buffer memory, permanent storage); If these different abilities are carried out pond respectively, the expansion of single resource can be effectively avoided to need the mode of newly putting whole station server to cause the waste of other capability resource and energy consumption.
Fig. 1 illustrates the hardware configuration schematic diagram according to a cloud computing system of the present invention embodiment.As shown in Figure 1, this cloud computing system is made up of some whole machine cabinet 11, each whole machine cabinet can insert the resource pool board 12 of the composition such as the hardware that is integrated with some CPU, GPU, internal memory, hard disk, and these resource pool boards 12 and rack 11 form the hardware components of cloud computing system jointly.
The specific implementation of a cloud computing system embodiment is described in detail as follows:
(1) cloud computing system adopts aggregated structure, high in the clouds resource is calculated according to CPU, GPU plays up, the ability such as buffer memory, data storage that calculates carries out dividing and integrating, and forms the ability cluster of corresponding cloud computing system.Each capability set group facility is consistent by one or more interface, can the resource pool board equipment of quick despatch form, and shares power supply and heat radiation.Cloud computing system, according to ability flexible expansion, such as, when rendering capability is not enough, only needs supplementary GPU board, increases and calculate internal memory (video memory) board accordingly.
(2) computing cluster (CPU computational resource pond) is realized by the large board of integrated polylith CPU, is responsible for general calculation task, and overall task scheduling;
(3) render farm (GPU computational resource pond) is realized by the large board of integrated polylith GPU, is responsible for Video coding, plays up, the high density magnanimity calculation task such as large data mining;
(4) calculate cache cluster (memory source pond) and form programmable memory pool by the large board of integrated a large amount of internal memory, video memory, for CPU or GPU resource pond provide buffer memory and the exchange capacity of data;
(5) storage cluster (memory resource pool) can be realized by traditional Disk Array, is responsible for the storage of data;
(6) connected by high speed outer bus between ability cluster.Such as can adopt the I/O technology such as optical fiber (FC), InfiniBand, PCI-E.
(7) Automatic dispatching of ability scheduler module fulfillment capability.
System, except the hardware facility of necessity, is also included in software view realization to the distribution of above hardware resource pool and scheduling.Being described in detail as follows of a specific implementation:
(1) logical resource of ability cluster divides
A) CPU physical resource, is divided into vCPU(virtual cpu in logic) resource, the physical cpu of such as 8 cores can be divided into the vCPU of 8 single core;
B) GPU physical resource, can be divided into vGPU in logic, and the K1GPU of such as NVIDIA can be divided into 8 vGPU;
C) storage resources, its division is relatively simple, such as, can carry out the division of memory capacity according to pre-sizing.
The logical resource of aforementioned capabilities cluster divides and can realize on software view.
(2) management of logical resource
Cloud computing system 200 realizes a set of virtual management software, is called virtual management machine 21, often kind of ability cluster in system is carried out to the resource management of logic level.Such as, in units of vCPU, reserved n(n>=1) individual vCPU and some internal memories (such as 1GB) as management resource, be responsible for management and the scheduling of interior of equipment cabinet resource specially.
From Shelf External, by virtual management software, a frame is integrated into one or more virtual server bare machine having numerous vCPU, vGPU and virtual memory resource (namely without the server of operating system), and the configuration of virtual server, establishment, destruction rely on virtual management software simulating.
(3) logical resource distributes
A) internal, the all resource informations of this rack collected by virtual management machine, are mainly the quantity/state, free memory quantity, power source loads, temperature etc. of the quantity/state of vCPU, vGPU, such as, at the record sheet that virtual management machine internal maintenance cpu resource distributes, as shown in table 1 below:
Table 1
Other is seemingly resources-type, also can safeguard respective Resourse Distribute record sheet.
B) external, virtual management machine take fictitious host computer as unit, receives the calculation task (such as load operating operating system on fictitious host computer) needing to be completed by each fictitious host computer.
In above-described embodiment, the physical resource of cloud computing system is divided according to ability cluster, when cloud computing disposal ability is not enough, can supplement corresponding capability resource as required, avoid other capability resources increasing redundancy, improve system utilization ratio.
Fig. 2 illustrates the system configuration schematic diagram according to a cloud computing system of the present invention embodiment.As shown in Figure 2, this cloud computing system 200 comprises virtual management machine 21 and fictitious host computer 1, fictitious host computer 2, fictitious host computer 3 ..., and fictitious host computer n.Such as, fictitious host computer 1 comprises 6 vCPU, 2 vGPU and 2G internal memories; Fictitious host computer 2 comprises 2 vCPU, 1 vGPU and 1G internal memory; Fictitious host computer 3 comprises 4 vCPU, 2 vGPU and 2G internal memories; Fictitious host computer n comprises 6 vCPU, 2 vGPU and 4G internal memories.
For existing cloud computing resource pool, by switching equipment and the intercommunication of I/O bus bar, thus can be connected with this cloud computing system.In above-described embodiment, by external bus, can expand and realize having the cloud computing system of resource flexible dispatching and extended capability.
Fig. 3 illustrates the flow chart of the implementation method embodiment according to cloud computing system of the present invention.
As shown in Figure 3, step 301, by computing cluster equipment for cloud computing system provides CPU Computational Physics resource.Computing cluster equipment can adopt the mode of blade server to provide, thus improves bulk density, with CPU with interiorly save as main body, stores simple (1-2 hard disk, basic RAID function carry operating system) as far as possible.In other words, be large calculating, little storage, the efficiency of compute-intensive applications is higher.
Step 302, by render farm equipment for cloud computing system provides GPU Computational Physics resource.
Step 303, the CPU Computational Physics resource being cloud computing system by calculating cache cluster equipment or GPU Computational Physics resource provide buffer memory and the exchange resource of data.
Step 304, by storage cluster equipment for cloud computing system provides data storage resource.For storage, then can see as and store intensive applications and the server (little calculating, store greatly) optimized, such as, provide a kind of memory resource pool be jointly made up of multiple hard disk.
Step 305, by virtual management machine, resource management and state-maintenance are carried out to each capability set group facility, the resource consolidation that various capability set group facility provides is that one or more comprises the fictitious host computer of vCPU, vGPU and virtual memory resource by virtual management machine, be unit with fictitious host computer, receive the calculation task completed by each fictitious host computer; Wherein, computing cluster equipment, render farm equipment, calculating cache cluster equipment, storage cluster equipment are connected by high speed outer bus with virtual management machine.High speed outer bus can adopt the I/O technology of optical fiber (FC), InfiniBand or PCI-E.
In above-described embodiment, the physical resource of cloud computing system is divided according to ability cluster, when cloud computing disposal ability is not enough, can supplement corresponding capability resource as required, avoid other capability resources increasing redundancy, improve system utilization ratio.
Existing cloud computing resource pool can be connected with the mode of high speed outer bus bar intercommunication by switching equipment.By external bus, can expand and realize having the cloud computing system of resource flexible dispatching and extended capability.
Cloud computing system comprises multiple whole machine cabinet, and each whole machine cabinet inserts the resource pool board that is integrated with and be made up of some CPU, GPU, internal memory, hard disk hardware to form computing cluster equipment, render farm equipment, calculating cache cluster equipment and storage cluster equipment
Each capability set group facility is consistent by one or more interface, can the board equipment of quick despatch form, and shares power supply and heat radiation.
When cloud computing system exists scarce capacity, increased the ability of described cloud computing system by the mode increasing resource pool board in each cluster device.
In sum, what the present invention described is a whole set of with the cabinet type server architecture of complete machine for hardware foundation, carry out virtual division, the cloud computing system of scheduling and implementation method based on clustering capabilitys such as calculating, storages.
Cloud computing system scheme based on ability cluster of the present disclosure, its core be based on pooling technology ability divide and scheduling, calculating (CPU) by dividing, playing up (GPU), calculate the dissimilar cloud computing ability such as buffer memory (internal memory), data storage, break the traditional method using server complete machine as cloud computing resources unit, provide and a kind ofly to divide based on capability component, by external bus interface, there is the cloud computing system of resource flexible dispatching and extended capability.
So far, described in detail according to cloud computing system of the present invention and its implementation.In order to avoid covering design of the present invention, details more known in the field are not described.Those skilled in the art, according to description above, can understand how to implement technical scheme disclosed herein completely.
Method and system of the present invention may be realized in many ways.Such as, any combination by software, hardware, firmware or software, hardware, firmware realizes method and system of the present invention.Said sequence for the step of described method is only to be described, and the step of method of the present invention is not limited to above specifically described order, unless specifically stated otherwise.In addition, in certain embodiments, can be also record program in the recording medium by the invention process, these programs comprise the machine readable instructions for realizing according to method of the present invention.Thus, the present invention also covers the recording medium stored for performing the program according to method of the present invention.
Although be described in detail specific embodiments more of the present invention by example, it should be appreciated by those skilled in the art, above example is only to be described, instead of in order to limit the scope of the invention.It should be appreciated by those skilled in the art, can without departing from the scope and spirit of the present invention, above embodiment be modified.Scope of the present invention is limited by claims.
Claims (10)
1. a cloud computing system, is characterized in that, comprising:
Computing cluster equipment, for providing CPU Computational Physics resource;
Render farm equipment, for providing GPU Computational Physics resource;
Calculate cache cluster equipment, for providing buffer memory and the exchange resource of data for CPU Computational Physics resource or GPU Computational Physics resource;
Storage cluster equipment, for providing data storage resource; With
Virtual management machine, resource consolidation for being provided by various capability set group facility is that one or more comprises the fictitious host computer of virtual cpu, virtual GPU and virtual memory resource, be unit with fictitious host computer, receive the calculation task needed by each fictitious host computer;
Wherein, described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment, described storage cluster equipment are connected by high speed outer bus with described virtual management machine, carry out resource management and state-maintenance by described virtual management machine to each capability set group facility.
2. cloud computing system according to claim 1, it is characterized in that, described cloud computing system comprises multiple whole machine cabinet, and each described whole machine cabinet inserts the resource pool board that is integrated with and is made up of some CPU, GPU, internal memory or hard disk hardware to form described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment or described storage cluster equipment.
3. cloud computing system according to claim 2, is characterized in that, each capability set group facility is consistent by one or more interface, can the board equipment of quick despatch form, and shares power supply and heat radiation.
4. cloud computing system according to claim 1, is characterized in that, described high speed outer bus adopts the I/O I/O technology of optical fiber, infinite bandwidth InfiniBand or peripheral hardware interconnected expansion PCI-E.
5. cloud computing system according to claim 4, is characterized in that, existing cloud computing resource pool is by switching equipment and the intercommunication of I/O bus bar.
6. an implementation method for cloud computing system, is characterized in that, comprising:
By computing cluster equipment for described cloud computing system provides CPU Computational Physics resource;
By render farm equipment for described cloud computing system provides GPU Computational Physics resource;
The CPU Computational Physics resource being described cloud computing system by calculating cache cluster equipment or GPU Computational Physics resource provide buffer memory and the exchange resource of data;
By storage cluster equipment for described cloud computing system provides data storage resource; With
By virtual management machine, resource management and state-maintenance are carried out to each capability set group facility, the resource consolidation that various capability set group facility provides is that one or more comprises the fictitious host computer of virtual cpu, virtual GPU and virtual memory resource by described virtual management machine, be unit with fictitious host computer, receive the calculation task completed by each fictitious host computer;
Wherein, described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment, described storage cluster equipment are connected by high speed outer bus with virtual management machine.
7. method according to claim 6, it is characterized in that, described cloud computing system comprises multiple whole machine cabinet, and each described whole machine cabinet inserts the resource pool board that is integrated with and is made up of some CPU, GPU, internal memory, hard disk hardware to form described computing cluster equipment, described render farm equipment, described calculating cache cluster equipment and described storage cluster equipment;
And/or
Described high speed outer bus adopts the I/O I/O technology of optical fiber, infinite bandwidth InfiniBand or peripheral hardware interconnected expansion PCI-E.
8. method according to claim 7, is characterized in that, each capability set group facility is consistent by one or more interface, can the board equipment of quick despatch form, and shares power supply and heat radiation.
9. method according to claim 7, is characterized in that, also comprises:
The ability of described cloud computing system is increased by the mode increasing resource pool board in each cluster device.
10. method according to claim 6, is characterized in that, is connected existing cloud computing resource pool by switching equipment with the mode of described high speed outer bus bar intercommunication.
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