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Inter-domain cooperation caching method based on Lagrange dual decomposition and Nash bargaining game

A Nash bargaining and dual technology, applied in the field of inter-domain cooperative cache based on Lagrangian dual decomposition and Nash bargaining game, can solve the problems of low cache efficiency, low cache efficiency, cache redundancy, etc., to reduce transmission costs, Good privacy and guaranteed fairness

Active Publication Date: 2021-11-09
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems of low cache efficiency and high redundancy caused by the selfish decision of cache services between autonomous systems in the existing SINET architecture, the present invention proposes an Internet autonomous system based on Lagrangian dual decomposition and Nash bargaining game cooperative caching method
[0007] The method of the present invention solves the problems of cache redundancy and low cache efficiency caused by selfish decision cache services between Internet autonomous systems

Method used

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  • Inter-domain cooperation caching method based on Lagrange dual decomposition and Nash bargaining game
  • Inter-domain cooperation caching method based on Lagrange dual decomposition and Nash bargaining game
  • Inter-domain cooperation caching method based on Lagrange dual decomposition and Nash bargaining game

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Embodiment 1

[0143] Implementing the method of the present invention is to adopt python language development, use CPLEX as optimization problem solving tool, simulation environment is Ubuntu12.04 operating system, CPU is Intel Core i7-8750, internal memory 16GB.

[0144] According to whether the autonomous systems of the access network cooperate with each other in caching and the way of cooperation, three different caching strategies can be summarized: local optimal caching strategy (Local Optimal Caching strategy, LOC), global optimal caching strategy (Global Optimal Caching strategy). Caching strategy, GOC), and the fair cooperative caching strategy (Fair Cooperative caching strategy, FC) proposed by the present invention based on Lagrangian decomposition and cooperative game. The following will introduce their cache benefits respectively.

[0145] Table 1. Service popularity

[0146] Serve AN 1

AN 2

AN 3

SS 1

55 5 5 SS 2

35 40 30 ...

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Abstract

The invention discloses a cooperative caching method between Internet autonomous systems based on Lagrange dual decomposition and Nash bargaining game, and the method comprises the following steps: setting a negotiation proxy server in each access network autonomous system in an SINET architecture, and negotiating shadow prices of service caching between the negotiation proxy servers; constructing an optimization function for maximizing the cache revenue of the autonomous system by adopting an economics model, constructing a cooperative cache problem through a Nash bargaining game model, decomposing an original problem into a plurality of sub-optimization problems through a Lagrange dual decomposition technology, and enabling a negotiation proxy server of each access network to solve the sub-optimization problems in a distributed manner; through multi-round negotiation and calculation, obtaining a service caching scheme meeting fairness and Pareto optimum.

Description

technical field [0001] The invention relates to a caching method among autonomous domains in a SINET framework, more particularly, an inter-domain cooperative caching method based on Lagrangian dual decomposition and Nash bargaining game. Background technique [0002] With the introduction of the concept of Information-Centric Network (Information-Centric Network), more and more future network architectures incorporate "network internal cache" into the basic capabilities of the network. The "network internal cache" in the Smart Identifier Network (SINET) architecture can help an autonomous system (Autonomous System, AS, or autonomous domain) reduce redundant transmission of service data and reduce inter-domain traffic. However, most of the existing technologies focus on designing the cache decision algorithm within a single autonomous system. Each autonomous system selfishly decides the local cache service (service) based on the local cache capacity, service popularity, serv...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/568Y02D30/70
Inventor 罗洪斌张珊
Owner BEIHANG UNIV
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