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SDN-based cloud platform resource scheduling and management system and its application method

A resource scheduling and management system technology, which is applied in the field of SDN-based cloud platform resource scheduling and management systems, can solve problems such as network congestion, achieve flexible and convenient operation, solve link congestion problems, and improve link utilization.

Active Publication Date: 2020-05-01
ANHUI UNIVERSITY
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Problems solved by technology

However, this algorithm tends to cause data flows to be concentrated on the same path for forwarding, causing network congestion

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  • SDN-based cloud platform resource scheduling and management system and its application method
  • SDN-based cloud platform resource scheduling and management system and its application method
  • SDN-based cloud platform resource scheduling and management system and its application method

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Embodiment Construction

[0042] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.

[0043] Such as figure 1 As shown, the present invention is an SDN-based cloud platform resource scheduling and management system, including a network topology learning module, a link state evaluation module and an algorithmic routing module. Among them, the network topology learning module learns and records the global network topology, the link state evaluation module evaluates the current link state to obtain state parameters, the routing module performs routing selection in resource scheduling, and the user completes the topology through these three modules based on the SDN network Learning, link state evaluation, and selection of algorithmic routing.

[0044] The SDN network architecture is used in the above system to realize the scheduling of cloud platform resources in the SDN environment. Amon...

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Abstract

The invention discloses an SDN-based cloud platform resource scheduling and management system and an application method thereof, including a network topology learning module, a link state evaluation module, and a routing module; using an SDN controller, the network topology learning module can complete topology learning, Obtain the network topology of the cloud platform. The link evaluation module evaluates the link state according to the state parameters of remaining bandwidth and packet loss rate. The routing module searches for the target resource through the improved ant colony algorithm. If multiple paths are obtained during the search process, one is randomly selected. Appropriate paths are allocated for resources, and then flow tables are issued to switches on the selected paths to complete resource scheduling, thereby realizing the scheduling and management of SDN-based cloud platform resources.

Description

technical field [0001] The invention belongs to the field of computer application technology, and in particular relates to an SDN-based cloud platform resource scheduling and management system and an application method thereof. Background technique [0002] With the development of the Internet and data centers, cloud computing, which is formed by the application of real-time systems in various distributed environments, has attracted more and more attention from the scientific and commercial fields. The main idea of ​​cloud computing is to integrate various computing resources on the Internet. However, the resources used by large-scale cloud computing systems are highly dynamic and heterogeneous, and the unreliable state of the resource environment makes cloud computing systems appear. The possibility of large-scale resource scheduling failures is greatly increased, so effective management of cloud platform resources is imminent. [0003] The proposal of SDN has given us a n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04L12/803H04L12/751H04L12/707H04L12/24H04L45/02H04L45/24
CPCH04L41/04H04L45/02H04L45/24H04L47/125H04L67/10
Inventor 崔杰周想利刘蕾陈郭钱李兴迪仲红
Owner ANHUI UNIVERSITY
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