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Adaptive fuzzy rule control system used for software-defined storage system

A technology for adaptive fuzzy and control systems, applied in fuzzy logic-based systems, electrical components, logic circuits, etc., to solve problems such as changing function settings

Active Publication Date: 2016-01-27
PROPHETSTOR DATA SERVICES
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, those function settings cannot be changed according to the changes of different applications (ie workload)

Method used

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  • Adaptive fuzzy rule control system used for software-defined storage system
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  • Adaptive fuzzy rule control system used for software-defined storage system

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Embodiment Construction

[0022] The present invention will be described more specifically by referring to the following embodiments.

[0023] Please refer to Figure 1 to Figure 9 . An embodiment according to the present invention is disclosed herein. figure 1 is a block diagram of an adaptive fuzzy rule control system 10 . System 10 can be used in a network to control performance parameters of a software-defined storage system within acceptable ranges. In this embodiment, the performance parameters include I / O operations per second, latency, and throughput. The network may be the Internet. In this way, the storage node 100 can be a database server that manages numerous storage devices and provides cloud services for customers, or it can be a file server or mail server with dedicated storage devices. The network may also be used in a laboratory's local area network, or in a multinational enterprise's wide area network, and the present invention does not limit the application of the storage node 1...

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Abstract

The invention discloses an adaptive fuzzy rule control system used for a software-defined storage system. The system is used to control a performance parameter in a storage node. The system comprises a flow monitoring module, an adaptive nerve fuzzy inference module, a flow prediction module and a fuzzy rule control module, wherein the flow monitoring module is used to acquire an observed value of the performance parameter in the storage node; the adaptive nerve fuzzy inference module is used to learn a dynamic relation between a plurality of storage equipment configurations in the storage node and a performance parameter within a period of time and output a fuzzy rule; the flow prediction module is used to provide a predicted value of the performance parameter at a specific time point in the future; and the fuzzy rule control module is used to arrange the configurations of the storage equipment according to the fuzzy rule and the predicted value at the specific time point in the storage node so that a specific value of a specific performance parameter can be reached at the specific time point.

Description

technical field [0001] The present invention relates to an adaptive fuzzy rule control system for software-defined storage, in particular to an adaptive fuzzy rule control system for software-defined storage to control a specific performance parameter, which is a service required by the stratum agreement. Background technique [0002] Cloud services have grown in popularity in the last decade. Cloud services are based on cloud computing and provide related services or commodities without increasing the burden on the client. Cloud computing involves a large number of computer hosts, and these computer hosts are connected to each other via a communication network, such as the Internet. It relies on the sharing of resources to achieve consistency and economies of scale. The concept of cloud computing is an infrastructure that integrates network infrastructure and resource sharing services. Among all shared services, memory and storage devices are definitely the two most in-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N7/02
Inventor 黄明仁黄纯芳石宗民陈文贤
Owner PROPHETSTOR DATA SERVICES
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