Multi-VCPU adaptive real-time scheduling method for TSN business

A real-time scheduling and self-adaptive technology, which is applied in the field of network communication, can solve the problems of unable to meet the changing business needs, large-capacity audio and video transmission delay requirements, limited computing power, and low utilization of physical resources, so as to improve resource utilization, The effect of enhancing security and stability and reducing management costs

Active Publication Date: 2017-09-01
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

[0005] To sum up, the problems existing in the existing technology are: the traditional TSN service scheduling has the problem of low usage rate of a single physical resource and limited computing power, which cannot meet the ever-increasing changes in service requirements and the delay requirements of large-capacity audio and video transmission.

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  • Multi-VCPU adaptive real-time scheduling method for TSN business
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  • Multi-VCPU adaptive real-time scheduling method for TSN business

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Embodiment Construction

[0050] 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.

[0051] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0052] like figure 1 As shown, the multi-VCPU adaptive real-time scheduling method for TSN services provided by the embodiment of the present invention includes the following steps:

[0053] S101: In the initial stage of algorithm execution, calculate the group number α according to the current task utilization δ, and determine the core allocation combination by the group number α;

[0054] S102: When the task is transferred to the real-time mode and transmitted to the kernel through...

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Abstract

The invention belongs to the field of network communication technology and discloses a multi-VCPU adaptive real-time scheduling method for TSN business. According to the method, technical details of physical resources on a bottom layer can be shielded through TSN scheduling combined with a virtualization technology, the physical resources are abstracted into multiple logically-independent virtual resources through the virtualization technology, and a unified programmable interface is provided for an upper layer. Through the method, the business with a high requirement for real-time performance is effectively scheduled, dynamic planning of multi-core processor resources can be realized during running, groups are adjusted adaptively, and the method is beneficial for load balance; according to different conditions of TSN tasks, a scheme with a low task missing ratio is selected, and adaptive scheduling is performed based on a feedback mechanism, so that the fairness and effectiveness of multiprocessor resource distribution are enhanced.

Description

technical field [0001] The invention belongs to the technical field of network communication, and in particular relates to a multi-VCPU adaptive real-time scheduling method for TSN services. Background technique [0002] Vehicle Time Sensitive Network (TSN) is a new type of network for audio, video or multimedia applications. For business application scenarios with high real-time requirements such as audio and video, the time requirement of TSN is higher than that of ordinary asynchronous networks. Today, with the rapid development of the Internet of Things (IoT), TSN has become one of the future development trends of IoT through Ethernet Audio / Video Bridging (Ethernet Audio / Video Bridging) technology as the core. However, at present, TSN network nodes only have a single switching function. Faced with the increasing demand for service capacity and stricter real-time business constraints, the real-time scheduling of the TSN network is facing more severe challenges. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4887G06F9/5038G06F9/5077G06F2209/483G06F2209/503
Inventor 姚明旿高晨黄振林罗祥帆高毅龚珊珊
Owner XIDIAN UNIV
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