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Decision method for mapping policy in virtual network

A technology of virtualized network and mapping strategy, which is applied in the field of decision-making of mapping strategy in virtualized network, and can solve problems such as the influence of mapping strategy uncertainty and the performance of virtual network

Active Publication Date: 2018-10-12
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, due to the limited resources of the randomness of user requests, the load state of SN changes with time. If the VNR chooses the greedy immediate mapping strategy (IVS) when the SN is under heavy load, it will face the following There are two unavoidable problems: (1) The mapping strategy not only affects the performance of the virtual network mapped in the current stage, but also has an uncertain impact on the mapping strategy in the next stage; (2) As a rational and selfish individual, it should be reasonable Encourage SN and VNR to formulate mapping strategies and their resource allocation through negotiation

Method used

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  • Decision method for mapping policy in virtual network

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Embodiment 1

[0054] The embodiment 1 that the present invention adopts is as figure 1 shown, including:

[0055] S1. Establish a Markov decision-making process optimization model according to the mapped resources;

[0056] S2. Use the Markov decision process to solve the centralized optimal mapping strategy according to the randomness of virtual network requests and the dynamic changes of the underlying network.

[0057] In network virtualization, the present invention divides time into several stages, such as figure 2 shown. Before mapping, gather information on VNR arrivals and departures. Then decide "if" to map, "when" to map and "how" to map according to the mapping policy. Finally, the VNR chooses to map immediately at stage t or wait to be mapped to stage t+1 before making a mapping decision.

[0058] Suppose at stage t there are N t Each VNR arrives and departs randomly. Considering that the capacity of SN may change over time, such as fog computing and mobile edge computin...

Embodiment 2

[0116] Embodiment 2 of the present invention proposes the Stackelberg buying and selling model based on the scheme adopted in Embodiment 1, and solves the mapping strategy of each individual in the centralized optimal mapping strategy; Embodiment 2 is as follows figure 1 shown, also includes:

[0117] S3. Define each virtual network requester as a buyer, and the underlying network as a seller, and establish a Stackelberg buying and selling model;

[0118] S4. According to the buying and selling model, find the current equilibrium solution of the Stackelberg game, and predict the future equilibrium solution of the Stackelberg game;

[0119] S5. According to the current equilibrium solution and future equilibrium solution obtained in step S4, evaluate the mapping relationship between the buyer and the seller, that is, to judge whether the current mapping action of the buyer and the seller is immediate mapping in the current stage or waiting for mapping in the current stage, so a...

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Abstract

The invention belongs to the technical field of wireless communication, specifically a decision method for a mapping policy in a virtual network. The method comprises the steps of establishing a Markov decision process optimization model according to mapping resources; solving a centralized optimum mapping policy through adoption of a Markov decision process; defining various virtual network requesters as buyers and defining substrate networks as sellers, and establishing a Stackelberg buying and selling model; solving a current equilibrium solution of a Stackelberg game and taking the currentequilibrium solution as the optimum resource capacity and the optimum selling price in a current phase; predicting a future equilibrium solution, and taking the future equilibrium solution as the optimum resource capacity and the optimum selling price in a future phase; and evaluating a mapping relationship between the buyers and the sellers according to the current equilibrium solution and the future equilibrium solution, thereby determining a distributed optimum mapping policy. According to the method, the load balance of the substrate networks is effectively improved, and the network performance is optimized.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and specifically relates to a decision-making method for a mapping strategy in a virtualized network. Background technique [0002] With the development of emerging technologies such as cloud computing, the Internet of Things, and future 5G, it has become increasingly difficult for existing infrastructure to meet the needs of different technologies and applications. In the past few decades, in order to meet the needs of communication, the way for governments to solve the above problems is to deploy a large number of infrastructures, which leads to the complexity and heterogeneity of the existing network, and the network becomes rigid and difficult to manage flexibly. If you blindly deploy new networks, in addition to facing high capital investment, it will also affect the deployed infrastructure, resulting in lower resource utilization, unnecessary investment and waste, and conflic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/803H04L12/911
CPCH04L47/125H04L47/726H04L47/781H04L47/783H04L47/83
Inventor 曹傧张龙姚枝秀
Owner CHONGQING UNIV OF POSTS & TELECOMM
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