Solid sensing dynamic coordination model establishment method based on cloud computing

Abstract

The invention discloses a solid sensing dynamic coordination model establishment method based on cloud computing. The establishment method comprises the following steps of (1) completing the establishment of context-awareness support middleware of obtainment, interaction, subscription, issue and the like of context; and (2) providing operating environment assemblies for a cloud computing service solid used for sensing the solid dynamic coordination, wherein the operating environment assemblies comprise a server accessing assembly, a service selecting and calling assembly and an autonomous component support assembly. Through the mode, the iteration and evolution thought can be adopted, the effective sharing and full utilization of cloud computing service are effectively realized, the context-awareness support middleware and operating environment middleware are described and created, a cloud computing system form which is convenient to retrieve is built, mechanisms which are cooperative as required are formed among subjectification resource solids, and the efficiency of search, assessment, obtainment and use of cloud resources is achieved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for establishing a dynamic collaborative model of a perception entity based on cloud computing. Background technique [0002] Cloud computing is an emerging method of sharing infrastructure, usually some large server clusters, including computing servers, storage servers, broadband resources, etc., which can connect huge system pools together to provide various IT services. The rise of cloud computing has brought opportunities for the development of the collaborative software industry. Cloud computing technology will greatly reduce the cost of small and medium-sized enterprises. Through the analysis and management of business models, it will help enterprises build information platforms and intelligently manage existing business resources. Allocation, reducing user waiting time, users can also customize the required resources according to their own business conditions a...

AI Technical Summary

Problems solved by technology

The implementation technology mainly has the following disadvantages: (1) The client devices cannot directly communicate with each other, but can only deal with the server, resulting in a waste of client resources

(2) The high mobility of entities in the remote technology environment has resulted in high scalability requirements for network applications, but the current architecture is very inflexible. The more collaborative users, the greater the load on the server

(3) The server must meet the peak application, resulting in a lot of waste of the server

(4) Once the server fails, users cannot share resource information and collaborate, so the system reliability is not high

The middleware structure proposed above cannot adapt to all cloud resource collaborative perception environments

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