CN202856795U - Cloud computing infrastructure system for internet of things storage - Google Patents
Cloud computing infrastructure system for internet of things storage Download PDFInfo
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- CN202856795U CN202856795U CN 201220548519 CN201220548519U CN202856795U CN 202856795 U CN202856795 U CN 202856795U CN 201220548519 CN201220548519 CN 201220548519 CN 201220548519 U CN201220548519 U CN 201220548519U CN 202856795 U CN202856795 U CN 202856795U
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Abstract
The utility model provides a cloud computing infrastructure system for internet of things storage, which is characterized by comprising a cloud operating system and application interface, a cloud computing subsystem node, a cloud file subsystem node, a computing resource pool node, a large data storage pool node, a small data storage pool node, a computing and storage resource virtualized node, a cluster computing server group and a cluster storage server group. Computing and storage resource addresses on the cluster computing server group and the cluster storage server group are mapped to the computing resource pool node, the large data storage pool node and the small data storage pool node which are formed by servers through the computing and storage resource virtualized node. The cloud computing infrastructure system provided by the utility model is used for storage and cloud computing of mass data of the internet of things.
Description
Technical field
The utility model relates to the cloud computing architecture system, is specifically related to a kind of cloud computing architecture system for the Internet of Things storage.
Background technology
Nowadays, use the various wisdom urban applications of technology of Internet of things, have a large amount of data to produce constantly.In the development process of the Internet of Things industry that is applied as traction, the magnitude of the mass data that it produces also sharply is increased to the PB rank from the TB level, the in addition characteristics such as how concurrent, effective, intensive of Internet of Things mass data, also the reply demand so that conventional cloud computing architecture system is difficult to maintain the statusquo.
The utility model content
The utility model is for above technical problem, a kind of cloud computing architecture system with Internet of Things storage that can mass memory is provided, whole system can provide to the user calculating and the storage resources of elastification, data storage capacity is large, has satisfied storage demand and the computation requirement of Internet of Things mass data.
The technical solution adopted in the utility model is:
A kind of cloud computing architecture system for the Internet of Things storage comprises cloud operating system and application interface, cloud computing subsystem node, cloud file subsystem node, computational resource tank node, large data storage pool node, small data storage pool node, calculating and the virtual node of storage resources, cluster calculation server group, cluster storage server group.
Described cloud operating system and application interface are connected with cloud computing subsystem node, cloud file subsystem node, the cloud computing subsystem node is connected with the computational resource tank node, cloud file subsystem node is connected with large data storage pool node, small data storage pool node, calculates with the virtual node of storage resources to be connected with computational resource tank node, large data storage pool node, small data storage pool node and cluster calculation server group, cluster storage server group.
Cluster calculation server group, cluster storage server group are positioned at the bottom of this architecture system, comprise separately one or more physical server, provide bottom to calculate and memory function; Cluster calculation server group, cluster storage server group consist of the bottom hardware physical layer of this architecture system jointly.
Calculating is made of the physical server more than with the virtual node of storage resources, is responsible for carrying out virtual to calculating and the storage resources of all cluster calculation server groups, cluster storage server group.
Computational resource tank node, large data storage pool node, small data storage pool node all are made of server, and the calculating on cluster calculation server group, the cluster storage server group and storage resources address are by calculating with the virtual node mapping of storage resources to the computational resource tank node that is made of server, large data storage pool node, small data storage pool node.
Described cloud computing subsystem node is responsible for the computational resource tank node is carried out distribution and the management of computational resource, also comprises node failure processing, dealing with network breakdown, computational resource load balance and node configuration.
Described cloud file subsystem node can be set data size threshold values, and the data that surpass this size of data threshold values are read by large data storage pool node to be deposited, and not have data above this size of data threshold values to be read by small data storage pool node and deposits.
Cloud computing subsystem node, cloud file subsystem node, computational resource tank node, large data storage pool node, small data storage pool node and calculating and the virtual node of storage resources have consisted of the core layer of this architecture system, by the encapsulation of this one deck for the bottom hardware physical layer, can realize calculating and the transparent operation of storage resources for the user.
Described cloud operating system and application interface come the bottom hardware physical layer is carried out operations by core layer, and the support platform for the user provides application comprises that computing application, storage are used and cloud is used.
Whether normally described cluster calculation server group is one or more, and described cluster storage server group is one or more, has heartbeat to connect between each cluster server group, judge the operation of cluster server group by heartbeat.
The utility model has following advantage:
Data storage capacity is large, because cluster storage server group can be expanded many, thereby provides powerful data Memory Extension ability.By calculating and the virtual node of storage resources, whole system can provide to the user calculating and the storage resources of elastification.
Data are judged its size according to threshold values, separately be stored in large data storage pool node, small data storage pool node, can realize efficient data manipulation.
Description of drawings
Fig. 1 is structural representation of the present utility model.
Embodiment
The utility model is described in further detail below in conjunction with drawings and Examples.
As shown in Figure 1, the cloud computing architecture system that is used for the Internet of Things storage comprises cloud operating system and application interface, cloud computing subsystem node, cloud file subsystem node, computational resource tank node, large data storage pool node, small data storage pool node, calculating and the virtual node of storage resources, cluster calculation server group, cluster storage server group.
Described cloud operating system and application interface are connected with cloud computing subsystem node, cloud file subsystem node, the cloud computing subsystem node is connected with the computational resource tank node, cloud file subsystem node is connected with large data storage pool node, small data storage pool node, calculates with the virtual node of storage resources to be connected with computational resource tank node, large data storage pool node, small data storage pool node and cluster calculation server group, cluster storage server group.
Cluster calculation server group, cluster storage server group are positioned at the bottom of this architecture system, comprise separately one or more physical server, provide bottom to calculate and memory function; Cluster calculation server group, cluster storage server group consist of the bottom hardware physical layer of this architecture system jointly.Whether normally described cluster calculation server group is one or more, and described cluster storage server group is one or more, has heartbeat to connect between each cluster server group, judge the operation of cluster server group by heartbeat.
Calculating is made of the physical server more than with the virtual node of storage resources, is responsible for carrying out virtual to calculating and the storage resources of all cluster calculation server groups, cluster storage server group.By calculating and the virtual node of storage resources, whole system can provide to the user calculating and the storage resources of elastification.
Computational resource tank node, large data storage pool node, small data storage pool node all are made of server, and the calculating on cluster calculation server group, the cluster storage server group and storage resources address are by calculating with the virtual node mapping of storage resources to the computational resource tank node that is made of server, large data storage pool node, small data storage pool node.
The cloud computing subsystem node is made of the separate unit physical server, described cloud computing subsystem node is responsible for the computational resource tank node is carried out distribution and the management of computational resource, also comprises node failure processing, dealing with network breakdown, computational resource load balance and node configuration.
Cloud file subsystem node is made of the separate unit physical server, described cloud file subsystem node is responsible for the resource of data storage pool node and is distributed and management, also comprises the Classification Management of data security, data storage index and the large data of Internet of Things, Internet of Things small data.
Internet of Things is used the data that can produce magnanimity, described cloud file subsystem node can be set a data size threshold values, the data that surpass this size of data threshold values are read by large data storage pool node to be deposited, the data management of large data storage pool node and data read the mechanism of depositing can to surpassing the data of this big or small threshold values, carry out efficient data manipulation.The data that do not have to surpass this size of data threshold values are read by small data storage pool node to be deposited, and the data management of small data storage pool node and data read the mechanism of depositing can to there not be the data above this big or small threshold values, carry out efficient data manipulation.
Cloud computing subsystem node, cloud file subsystem node, computational resource tank node, large data storage pool node, small data storage pool node and calculating and the virtual node of storage resources have consisted of the core layer of this architecture system, by the encapsulation of this one deck for the bottom hardware physical layer, can realize calculating and the transparent operation of storage resources for the user.
Described cloud operating system and application interface come the bottom hardware physical layer is carried out operations by core layer, and the support platform for the user provides application comprises that computing application, storage are used and cloud is used.When cloud operating system and application interface also made user and application access or operation native system, the resource on just logical form of seeing can elasticity be distributed and flexible mainframe computer.
Claims (2)
1. a cloud computing architecture system that is used for the Internet of Things storage is characterized in that: comprise cloud operating system and application interface, cloud computing subsystem node, cloud file subsystem node, computational resource tank node, large data storage pool node, small data storage pool node, calculating and the virtual node of storage resources, cluster calculation server group, cluster storage server group;
Described cloud operating system and application interface are connected with cloud computing subsystem node, cloud file subsystem node, the cloud computing subsystem node is connected with the computational resource tank node, cloud file subsystem node is connected with large data storage pool node, small data storage pool node, calculates with the virtual node of storage resources to be connected with computational resource tank node, large data storage pool node, small data storage pool node and cluster calculation server group, cluster storage server group;
Cluster calculation server group, cluster storage server group are positioned at the bottom of this architecture system, comprise separately one or more physical server, provide bottom to calculate and memory function; Cluster calculation server group, cluster storage server group consist of the bottom hardware physical layer of this architecture system jointly;
Calculating is made of the physical server more than with the virtual node of storage resources, is responsible for carrying out virtual to calculating and the storage resources of all cluster calculation server groups, cluster storage server group;
Computational resource tank node, large data storage pool node, small data storage pool node all are made of server, and the calculating on cluster calculation server group, the cluster storage server group and storage resources address are by calculating with the virtual node mapping of storage resources to the computational resource tank node that is made of server, large data storage pool node, small data storage pool node;
Described cloud computing subsystem node is responsible for the computational resource tank node is carried out distribution and the management of computational resource, also comprises node failure processing, dealing with network breakdown, computational resource load balance and node configuration;
Described cloud file subsystem node can be set data size threshold values, and the data that surpass this size of data threshold values are read by large data storage pool node to be deposited, and not have data above this size of data threshold values to be read by small data storage pool node and deposits;
Cloud computing subsystem node, cloud file subsystem node, computational resource tank node, large data storage pool node, small data storage pool node and calculating and the virtual node of storage resources have consisted of the core layer of this architecture system, by the encapsulation of this one deck for the bottom hardware physical layer, can realize calculating and the transparent operation of storage resources for the user;
Described cloud operating system and application interface come the bottom hardware physical layer is carried out operations by core layer, and the support platform for the user provides application comprises that computing application, storage are used and cloud is used.
2. the cloud computing architecture system for Internet of Things storage as claimed in claim 1, it is characterized in that: described cluster calculation server group is one or more, described cluster storage server group is one or more, there is heartbeat to connect between each cluster server group, judges the whether normally operation of cluster server group by heartbeat.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220548519 CN202856795U (en) | 2012-10-24 | 2012-10-24 | Cloud computing infrastructure system for internet of things storage |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201220548519 CN202856795U (en) | 2012-10-24 | 2012-10-24 | Cloud computing infrastructure system for internet of things storage |
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| CN202856795U true CN202856795U (en) | 2013-04-03 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103685467A (en) * | 2013-11-15 | 2014-03-26 | 伏治军 | Interconnection and internetworking platform of Internet of things, and communication method thereof |
| CN109408458A (en) * | 2018-09-07 | 2019-03-01 | 安徽恒科信息技术有限公司 | A kind of big data storage management platform |
| CN110365780A (en) * | 2019-07-19 | 2019-10-22 | 南京世竹软件科技有限公司 | A kind of cloud computing architecture system for Internet of Things storage |
-
2012
- 2012-10-24 CN CN 201220548519 patent/CN202856795U/en not_active Expired - Lifetime
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103685467A (en) * | 2013-11-15 | 2014-03-26 | 伏治军 | Interconnection and internetworking platform of Internet of things, and communication method thereof |
| CN103685467B (en) * | 2013-11-15 | 2017-09-15 | 伏治军 | A kind of Internet of Things interconnects platform and its communication means |
| CN109408458A (en) * | 2018-09-07 | 2019-03-01 | 安徽恒科信息技术有限公司 | A kind of big data storage management platform |
| CN110365780A (en) * | 2019-07-19 | 2019-10-22 | 南京世竹软件科技有限公司 | A kind of cloud computing architecture system for Internet of Things storage |
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Owner name: JIANGSU CAS INTERNET-OF-THING TECHNOLOGY VENTURE C Free format text: FORMER OWNER: JIANGSU INTERNET OF THINGS RESEARCH + DEVELOMENT CO., LTD. Effective date: 20140613 |
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| C41 | Transfer of patent application or patent right or utility model | ||
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Effective date of registration: 20140613 Address after: 214135 Jiangsu New District of Wuxi City Linghu Road No. 200 China Sensor Network International Innovation Park building C Patentee after: JIANGSU CAS INTERNET-OF-THINGS TECHNOLOGY VENTURE CAPITAL CO.,LTD. Address before: 214135 Jiangsu New District of Wuxi City Linghu Road No. 200 China Sensor Network International Innovation Park C building 4 floor Patentee before: JIANGSU R & D CENTER FOR INTERNET OF THINGS |
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| ASS | Succession or assignment of patent right |
Owner name: WUXI ZHONGKE HENGYUAN INFORMATION TECHNOLOGY CO., Free format text: FORMER OWNER: JIANGSU CAS INTERNET-OF-THING TECHNOLOGY VENTURE CAPITAL CO., LTD. Effective date: 20150320 |
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Free format text: CORRECT: ADDRESS; FROM: 214135 WUXI, JIANGSU PROVINCE TO: 214016 WUXI, JIANGSU PROVINCE |
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Effective date of registration: 20150320 Address after: 214016 Jiangsu city of Wuxi province Tongjiang Chong'an District Road No. 898 7 floor Patentee after: WUXI CAS FOREVERSOURCE INFORMATION TECHNOLOGY CO.,LTD. Address before: 214135 Jiangsu New District of Wuxi City Linghu Road No. 200 China Sensor Network International Innovation Park building C Patentee before: JIANGSU CAS INTERNET-OF-THINGS TECHNOLOGY VENTURE CAPITAL CO.,LTD. |
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