Cloud service data efficient perception system based on active computing soft-sensors

Abstract

The invention discloses a cloud service data efficient perception system based on active computing soft-sensors. The new type active computing soft-sensors (ACS) are adopted in an active computing soft-sensor management (ACSM) module. According to the architecture, collection tasks of service data of cloud service stations can be finished, preliminary analysis of massive data can be finished, and preprocessing tasks of unstructured data can be finished. Because the computing and preprocessing functions of the unstructured data are added to Sensors ends, according to the architecture, the load of processing the massive data by a trust computing module can be greatly mitigated. An active mechanism of time drive and event drive is used in the ACS technique, and in this way, the interaction cost of the perception system can be reduced remarkably. Moreover, the time consistency problem in data perception can be solved by importing the ACS technique.

Description

technical field [0001] The invention belongs to the field of cloud computing, and specifically relates to an efficient perception system for cloud service data that integrates various technologies, such as cloud computing technology, distributed sensor technology, and reliability computing technology, and is implemented in active computing software sensors. Background technique [0002] Cloud computing is an important innovation in the current computing model. Cloud computing effectively provides large-scale computing resources to users in the form of reliable services, thereby freeing users from complex underlying hardware logic, software stacks, and network protocols. At present, major IT companies such as Google, Microsoft, IBM, Amazon, etc. have launched their cloud computing solutions. [0003] Trusted management and computing technology is based on the original network security technology to increase the new security idea of ​​behavioral credibility, strengthen the dy...

AI Technical Summary

Problems solved by technology

However, in a large-scale cloud computing environment, the monitoring system responsible for trusted service data perception needs to efficiently process tens of millions or even billions of information in an instant. To simply adopt the traditional passive data monitoring mechanism, the traditional method must be innovated in terms of the perception model and perception method, in order to meet the basic needs of high-speed data perception in the large-scale interconnected cloud computing environment

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