SLA performance prediction method and related device and equipment
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A performance prediction and performance technology, applied in the field of communication, can solve problems such as inconsistencies in traffic characteristics
Pending Publication Date: 2022-07-08
HUAWEI TECH CO LTD
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[0003] The rate of traditional voice service traffic is relatively stable at different time scales, and the traffic arrival obeys the Poisson model, but the rate of video service-based data traffic has different properties at different time scales, and its rate fluctuations are small on the macro time scale , there are severe rate bursts on the small time scale of milliseconds and microseconds. Therefore, its traffic characteristics do not conform to the classic Poisson model. The traffic modeling method based on voice services widely used in the industry is no longer suitable for describing the current network. data traffic characteristics
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Embodiment ( 1
[0166] Combine below Figure 4 A method for predicting SLA performance involved in the embodiments of the present application is introduced. The method may be implemented by a first network device, a second network device, and a third network device alone or in combination, and the first network device may be the above-mentioned figure 1 In the system shown, the first user equipment 10, the second user equipment 14, the router 11, the SDN controller 12, the ICP server 13, the base station 15, the mobile cloud engine 16 or the ICP server 13; the second network device may be the above figure 1 In the system shown, the router 11, the SDN controller 12, the ICP server 13, the base station 15, the mobile cloud engine 16 or the ICP server 13, etc.; the third network device may be the above-mentioned figure 1 In the shown system, the router 11, the SDN controller 12, the base station 15, the mobile cloud engine 16, etc.; the fourth network device may be the above-mentioned figure 1 ...
Embodiment ( 2
[0245] Combine below Image 6 Another SLA performance prediction method involved in this embodiment of the present application is introduced. The method may be implemented by a first network device, a second network device, and a third network device alone or in combination. The first network device may be the above-mentioned figure 1 In the system shown, the first user equipment 10, the second user equipment 14, the router 11, the SDN controller 12, the ICP server 13, the base station 15, the mobile cloud engine 16 or the ICP server 13; the second network device may be the above figure 1 In the shown system, the router 11, the SDN controller 12, the ICP server 13, the base station 15, the mobile cloud engine 16 or the ICP server 13, etc.; the third network device may be the above-mentioned figure 1 In the shown system, the router 11, the SDN controller 12, the base station 15, the mobile cloud engine 16, etc.; the fourth network device may be the above-mentioned figure 1 The...
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Abstract
The invention discloses an SLA (Service Level Agreement) performance prediction method and related device and equipment. According to the method, first network equipment acquires timestamps and packet lengths of a plurality of data packets; determining an arrival time interval of each data packet in the plurality of data packets according to the timestamps of the plurality of data packets, wherein the arrival time intervals of the plurality of data packets form a time interval sequence according to an arrival sequence; further, time domain characteristic parameters of the plurality of data packets are determined according to a Markov arrival process MAP model and the time interval sequence, and the time domain characteristic parameters are parameters of the MAP model; and determining a packet length characteristic parameter according to the packet length of the plurality of arrival data packets, so as to predict the SLA performance of the plurality of data packets based on the packet length characteristic parameter and the time domain characteristic parameter.
Description
technical field [0001] The present invention relates to the field of communication technologies, and in particular, to a method for predicting SLA performance and related devices and equipment. Background technique [0002] With the development of 4K / 8K high-definition video, cloud virtual reality (Cloud VR) and the commercialization of 5G, it provides SLA performance guarantee for video-based data traffic and has become an Internet service provider (Internet service provider). provider, ISP) important target. Accurately learning traffic characteristics is the basis for service-level agreement (SLA) performance prediction, which helps to ensure and improve user experience, and can guide network planning and resource allocation. Effective traffic feature learning and SLA prediction methods and devices will play an important role in the evolution of broadband metropolitan area networks and 5G networks. [0003] The rate of traditional voice service traffic is relatively stab...
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