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Layered data center resource optimization method and system based on SDN and NFV

A resource optimization and data center technology, applied in the field of communication, can solve the problems of large delay in the service chain, low utilization of data center resources, low parallel computing efficiency, etc.

Active Publication Date: 2020-10-02
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to solve the deficiencies in the existing technology, the present invention proposes a layered data center resource optimization method based on SDN and NFV, which solves the problems of low utilization rate of existing data center resources, low parallel computing efficiency, service chain end-to-end The problem of large delay at the end

Method used

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  • Layered data center resource optimization method and system based on SDN and NFV
  • Layered data center resource optimization method and system based on SDN and NFV
  • Layered data center resource optimization method and system based on SDN and NFV

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Experimental program
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Embodiment 1

[0063] Such as image 3 As shown, a hierarchical data center resource optimization method based on SDN and NFV, including steps:

[0064] Step 1, using the hierarchical distributed architecture of the control center, the MANO controller (orchestration and management controller) of the main control layer orchestrates and generates the corresponding service chain for the request initiated by the client, and uses the source and destination nodes for the service chain generated by the orchestration Group the same characteristics, so that each group of service chains belongs to the same end-to-end request;

[0065] Step 2. For each grouped service chain, filter out the part whose bandwidth requirement is higher than the threshold δ and mark it as the highest priority. Use the three-way quick sort algorithm to sort the remaining service chains in descending order according to their delay requirements. Indicate priority;

[0066] Step 3, use the A*(A-Star) algorithm to calculate th...

Embodiment 2

[0085] Such as figure 1 As shown, a hierarchical data center resource optimization system based on SDN and NFV, including the distributed coordination framework ZooKeeper, the main control layer and the basic control layer;

[0086] The main control layer includes several MANO controllers. When the controller is running, an election algorithm will be used to recommend a master controller (Leader), and other controllers will be slave controllers (Follower). Each MANO controller includes a service chain orchestration management module, a global network topology resource management module, and a service chain mapping policy generation module. Each MANO controller can independently manage the basic control layer. Under normal circumstances, the main controller Leader and the basic control layer Layer interaction, other as auxiliary controllers, the main controller Leader maintains data and status consistency with the slave controller Follower through ZooKeeper's Zab protocol (ZooK...

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Abstract

The invention discloses a layered data center resource optimization method and system based on SDN and NFV, and the method comprises the steps: enabling an MANO controller to arrange a request initiated by a client to generate a corresponding service chain, and taking chains with the same source and destination nodes into a feature group; filtering the grouped service chains to obtain a part of which the bandwidth requirement is higher than a set threshold value, marking the highest priority, and arranging the remaining service chains in a descending order according to the requirement of the remaining service chains on the time delay to indicate the priority; calculating the first K shortest paths between the source node and the destination node for each group of service chains; formulating, by the MANO controller, a mapping strategy of each service chain by using a coevolutionary multi-population competition genetic algorithm according to the first K shortest paths; and issuing, by the MANO controller, the formulated mapping strategy to an SDN controller of a basic control layer, and enabling the SDN controller to convert the mapping strategy into a flow table suitable for being processed by a switch and issue the flow table to the switch for execution. The end-to-end time delay of the service chain is small, and the utilization rate of network resources is high.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a layered data center resource optimization method based on SDN and NFV. Background technique [0002] With the rapid development of the Internet and mobile Internet, many emerging network technologies and new network applications are gradually emerging. Cloud computing, mobile edge computing, big data, data centers, software-defined networks and network virtualization have become research hotspots. With the advent of the Internet of Things era, the continuous expansion of the network architecture and the continuous updating of network functions have become more stringent for the management of network service functions and the allocation of data center resources. Most of the current data center networks are based on the traditional network architecture, which consists of extremely complex switches, routers, terminals, and other devices. These network devices use closed, pr...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/60
Inventor 赵莎莎宁越强张登银肖毅赵杰周芷慧胡雪然向罗巧
Owner NANJING UNIV OF POSTS & TELECOMM
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