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Internet of Things information interoperation method based on sea-cloud computing architecture

A cloud computing and Internet of Things technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve the problem that the cloud computing model is not well utilized, avoid repeated computing, improve utilization efficiency, and achieve reasonable distribution. Effect

Inactive Publication Date: 2018-08-31
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The resources mobilized by the Internet of Things are far more than that. There are many ordinary nodes, edge nodes, and even embedded nodes with computing power. These edge nodes actually own more than 90% of the resources of the entire network. In the cloud computing model not well used

Method used

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  • Internet of Things information interoperation method based on sea-cloud computing architecture
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  • Internet of Things information interoperation method based on sea-cloud computing architecture

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specific Embodiment approach 1

[0019] combine figure 1 , 2 , 3 illustrate this embodiment, the steps of this embodiment are as follows:

[0020] Step 1: The push mode data fusion structure optimization method based on Haiyun Computing consists of Cloud Node (CN for short) and Sea Node (SN for short). The cloud is composed of super nodes of the cloud computing center provided by the system operator. They are the most stable storage nodes in the system. Long time online. However, various resources (including computing, storage, data, etc.) in sea cloud computing do not only come from cloud nodes, each sea end node can fully utilize its own computing, storage and other capabilities while obtaining services and resources At the same time provide services. Of course, they are not high-efficiency nodes with stable operation, and may join or leave the Haiyun computing environment at any time, but the capabilities of these edge nodes cannot be ignored, and they own more than 90% of the resources on the network....

specific Embodiment approach 2

[0024] combine Figure 4 Describe this embodiment, the steps of this embodiment are as follows:

[0025] Step 1: Calculate the node semantic similarity. Label the two nodes e 1 and e 2 Split into two word sets E 1 and E 2 , while e 1 and e 2 The number of words contained is recorded as |E 1 |and|E 2 |, the E 1 and E 2 The average value of the maximum similarity between word pairs is used as the semantic similarity between two node tags. The similarity of this node mark is recorded as sim(E 1 ,E 2 ), and its specific calculation formula is shown in (1):

[0026]

[0027] Step 2: Calculate the string similarity between nodes. Remember Ed(s 1 ,s 2 ) for the string s 1 and s 2 The edit distance of Sims(s 1 ,s 2 ) is the similarity between two strings, and the calculation formula is shown in (2):

[0028]

[0029] Step 3: Calculate the XML path similarity. For the calculation of path similarity, it is mainly analyzed from the structural aspect. The simila...

specific Embodiment approach 3

[0038] combine Figure 5 Describe this embodiment, the steps of this embodiment are as follows:

[0039] Step 1: processing heterogeneous file matching, the present invention adopts a bottom-up approach of tree automata. That is, first assign an initial state value to each leaf node, and then assign a new state value to it according to the label of the parent node of the leaf node, so recursively up to the root node, if the root node is assigned an acceptable state, Indicates that the input tree is acceptable.

[0040] Step 2: the present invention adopts the idea of ​​suffix. That is, when processing an XPath subscription path, a point of view to start matching from the end element of the path. During processing, the same subscription can be represented by the XPath path, and the elements with the same target in the XPath can be combined to build an automaton. The subscription request starts with the same suffix element. For the same part of the predicate matching path in...

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Abstract

The invention discloses an Internet of Things information interoperation method based on a sea-cloud computing architecture, belonging to the fields of big data processing and Internet of Things. A model is composed of a push-mode architecture based on sea-cloud computing and an unranked tree automata module, wherein the push-mode architecture based on sea-cloud computing includes cloud nodes andsea nodes, at the sea end of sea computing, real-time Internet of Things perception data flows are processed, and at the cloud end, key data is processed and stored, decision data is generated, and the like; and the unranked tree automata module adopts a suffix tree automata filter matching method, uses a tree automata technology, introduces a suffix thought, and adopts a bottom-up push-mode method of an unranked tree automata to process subscription requests. Thereby, the insufficiency of the integration of data and computing in an existing computing technology can be overcome, the cloud endand the sea end are organically integrated, the intermediate states of a large number of identical transfers in a data processing process can be effectively reduced, and the advantages of reasonable optimization of network resources, high file processing speed and strong semantic recognition can be achieved.

Description

technical field [0001] The invention belongs to the field of big data processing and the Internet of Things, and in particular relates to a method for interoperating information of the Internet of Things based on the Haiyun computing architecture. Background technique [0002] The social development vision represented by the Internet of Things "Smart Earth" and "Sensing China" has pointed out the direction for the future development of social informatization and communication industry. At present, a large number of isolated closed-loop IoT systems are the starting point and basic elements of IoT construction, and these applications are often limited to the monitoring and intelligent management of a single transaction. It is necessary to organically integrate and share these isolated islands of information to make them interconnected and interoperable. The sensory data of the Internet of Things presents the characteristics of heterogeneity, mass and real-time. , and the data...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L29/08
CPCH04L41/0823H04L41/145H04L67/55H04L67/568
Inventor 王桐王云峰陶雪玲陈立伟赵春晖
Owner HARBIN ENG UNIV
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