Abstract
With the rapid increase of volume and complexity in the projectile flight test business, it is becoming increasingly important to improve the quality of the service and efficiency of multi-domain cooperative networks. The key for these improvements is to solve the problem of asymmetric load of multi-controllers in multi-domain networks. However, due to the current reality, it is difficult to meet the demands of future tests, and there is not guarantee of subnet multi-domain test load balancing. Most recent works have used a heuristic approach to seek the optimal dynamic migration path, but they may fall into the local optimum. This paper proposes an improved ant colony algorithm (IACO) that can transform the modeling of the mapping relationship between the switch and the controller into a traveling salesman problem by combining the ant colony algorithm and artificial fish swarm algorithm. The IACO not only ensures the load balancing of multi-controllers but also improves the reliability of the cluster. The simulation results show that compared to other algorithms such as traditional ant colony algorithms and distributed decision mechanisms, this IACO achieves better load balancing, improves the average throughput of multi-controller clusters, and effectively reduces the response time of controller request events.
Highlights
Under the conditions of information technology, the trend of comprehensive joint testing is aimed at the development of the environment of multi-domain collaborative testing networks
A multi-controller cluster based on an software-defined networks (SDN) is proposed, which mainly solves the problem of a single controller not being able to meet control and management needs and to improve the business load balancing ability in the multi-controller environment under the increasing network scale environment
To verify that the improved ant colony algorithm (IACO) can be deployed in different topological environments with good load balancing ability, a comparison with the other two different topological environments is made to prove that the load balancing ability of the IACO is suitable for a variety of different network topological environments
Summary
Under the conditions of information technology, the trend of comprehensive joint testing is aimed at the development of the environment of multi-domain collaborative testing networks. In the single-domain test network scenario, due to the influence of the controller capacity, business processing capacity, computing power, and other factors, a single controller is often insufficient to control and manage the entire network behavior, so it is necessary to build a controller cluster In this context, a multi-controller cluster based on an SDN is proposed, which mainly solves the problem of a single controller not being able to meet control and management needs and to improve the business load balancing ability in the multi-controller environment under the increasing network scale environment. The rapid increase in heterogeneous interconnected test equipment, network traffic, and business requirements has caused a load imbalance between controllers, resulting in insufficient resource utilization and reduced network performance For this reason, the IACO algorithm is proposed to solve this problem by maximizing the load balance of the controller through switch migration.
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