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Service request allocation method based on cooperative computing between communication satellites

A technology for business requests and communication satellites, applied in the field of communication, can solve the problem that a single satellite cannot adapt to the number of business requests, and achieve the effect of reducing processing delay

Active Publication Date: 2020-11-03
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP +1
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  • Summary
  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

In terms of software optimization, Wang et al. proposed a dynamic allocation of spaceborne resources for multiple end users to maximize the resource utilization of a single satellite. Adapt to the growing volume of business requests

Method used

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  • Service request allocation method based on cooperative computing between communication satellites
  • Service request allocation method based on cooperative computing between communication satellites
  • Service request allocation method based on cooperative computing between communication satellites

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Embodiment Construction

[0039] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0040] In order to use the LEO-SCN airborne computing resources to realize the concept of inter-satellite collaborative computing and solve the problem of high transmission delay caused by long-distance satellite-to-ground transmission, the present invention adopts such as figure 1 A typical space-based cloud-fog network architecture is shown to be studied. Service requests are offloaded to satellites in the transmission path for distributed computing, and are no longer forwarded to the ground cloud center for centralized computing, and service processing is completed during the transmission process. From the perspective of computing and network, the space-based cloud-fog network architecture can be regarded as two parts: the satellite fog layer and the ground cloud layer.

[0041] The satellite fog layer is composed of clusters of low-orbit c...

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Abstract

The invention discloses a service request allocation method based on cooperative computing between communication satellites, relates to the technical field of communication. The method comprises th steps: generating a plurality of mapping results corresponding to a service request according to a preset mapping rule between a directed acyclic graph (DAG) based on the service request and a weightedtime extension graph (WTEG) based on a low-orbit communication satellite network; according to a binary particle swarm optimization algorithm, acquiring an optimal mapping result from a plurality of mapping results, and according to the mapping result, allocating the service request to each communication satellite, so the service request processing time delay of inter-satellite cooperative computing is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of communications, in particular to a service request allocation method based on collaborative computing between communication satellites. Background technique [0002] With the continuous development of information technology, a series of new delay-sensitive business models have emerged, such as remote surgery, real-time traffic monitoring, and unmanned driving. With the development of realm, the concept of geography has gradually become blurred at the information level, and it is possible for users to enjoy new information services anytime, anywhere. However, there is a huge gap between the current limited coverage of terrestrial mobile communication networks and the demand for ubiquitous information services in the future. Therefore, Non-terrestrial Networks (NTN) has become a research hotspot in the current mobile communication field. . Among them, satellite communication networks have many advantages ...

Claims

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Application Information

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IPC IPC(8): H04B7/185H04B7/195G06F16/901G06N3/00
CPCH04B7/18521H04B7/18584H04B7/195G06F16/9024G06N3/006Y02D30/70
Inventor 张亚生任智源窦志斌程文驰何辞
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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