Context sensing-based smart city cloud computing analysis method

An analysis method and context technology, applied in the field of cloud computing, can solve the problems of low efficiency, complexity, and poor reliability in dynamic big data storage

Inactive Publication Date: 2017-03-22
HUBEI UNIV OF TECH
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  • Abstract
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Problems solved by technology

[0017] The purpose of the present invention is to provide a smart city cloud computing analysis method based on context awareness, aiming to solve the problem of low efficiency and reliability of complex, multi-source, dynamic big data storage in the existing smart city big data storage management services The performance is poor; and the analysis method of phase space thermodynamics cannot be used in data analysis to avoid the problem of the influence between servers

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  • Context sensing-based smart city cloud computing analysis method
  • Context sensing-based smart city cloud computing analysis method
  • Context sensing-based smart city cloud computing analysis method

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Embodiment Construction

[0120] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0121] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0122] Such as figure 1 As shown, the context-aware smart city cloud computing analysis method provided by the embodiment of the present invention includes the following steps:

[0123] S101: First, the context data is converted into a parameter list used to define the configuration file in the rule; the rule definition of the rule includes an engine for periodic evaluation of the elements of a list;

[0124] S102: The relevant rules based on context awareness include two parts: rule...

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Abstract

The invention discloses a context sensing-based smart city cloud computing analysis method. According to the context sensing-based smart city cloud computing analysis method, smart city big data is stored by adopting four layers of structures of a context sensing-based cloud computing platform and a context sensing algorithm. It is showed that the context sensing-based cloud computing platform reduces data distribution type influence on the premise of meeting a reliable storage requirement of dynamic big data through theoretical analysis and mode test results, so that the storage management capability of the smart city big data is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and in particular relates to a context-aware cloud computing analysis method for smart cities. Background technique [0002] With the development of information technology, massive amounts of data are generated, how to effectively manage and organize these massive amounts of data has become a prominent problem. Metadata is an effective means to solve this problem and can support the management and maintenance of data by the system. Specifically, in the data warehouse system, the metadata mechanism mainly supports the following five types of system management functions: [0003] (1) Describe what data is in the data warehouse; [0004] (2) Define the data to be entered into the data warehouse and the data generated from the data warehouse; [0005] (3) Record the working schedule of data extraction according to the occurrence of business events; [0006] (4) Record and test the require...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/24552G06F16/24564
Inventor 吴珺王春枝严灵毓
Owner HUBEI UNIV OF TECH
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