Abstract
The rapid development of mobile communications and the continuous growth of service needs lead to an increase in the number of base stations (BSs). Through virtualization and cloud technology, virtual Baseband Units (BBUs) are deployed on a virtual machine (VM) to build a BBU pool to achieve hardware resource sharing, which not only saves BS construction costs but also facilitates management and control. However, too high or too low server resource utilization in the pool not only affects the performance of the virtual BBU but also increases the maintenance cost of the physical equipment. In this paper, BBUs are virtualized to construct a virtual BBU pool based on the OpenStack cloud architecture and a dual threshold adaptive dynamic migration strategy is proposed in this scenario. Establish upper and lower threshold of resource utilization of the servers in the pool and the strategy determines whether the dynamic migration is triggered according to the resource utilization of each compute node. If the migration is triggered, the strategy selects the virtual resource to be moved out and the target node to realize the dynamic migration to achieve the purpose of balancing the server load and saving energy consumption. The migration strategy proposed in this paper is simulated on Cloudsim and the experimental results show that the strategy can effectively reduce the number of migrations and migration time on the basis of reducing energy consumption and SLA violations. This paper successfully deployed the strategy on the OpenStack platform, which implements dynamic migration autonomously to save the overall energy consumption of the BBU pool, instead of manual operations.
Highlights
With the development of mobile communication technology and the commercial use of 5G, mobile operators ensure the normal use of user services in their coverage areas and meet the need for a higher data rate, fast and efficient network services [1] by deploying a large number of base stations (BSs)
In order to compare the performance of the proposed migration strategy with that of the existing algorithms, we consider four indicators: the total energy consumption of the Baseband Units (BBUs) pool when performing the work, SLA violation, the total migration number when the dynamic migration occurs and the dynamic migration time
dual threshold adaptive (DTA)-virtual machine (VM) selection is reduced by more than 50% compared to Minimum Utilization (MU) and the effect is reduced by abou number of migration and migration time
Summary
With the development of mobile communication technology and the commercial use of 5G, mobile operators ensure the normal use of user services in their coverage areas and meet the need for a higher data rate, fast and efficient network services [1] by deploying a large number of base stations (BSs). Based on the architecture of a centralized access network, this paper uses virtualization technology on x86 architecture servers to virtualize the functions of traditional BBUs (such as physical layer baseband processing and high-level protocol processing) on VMs, to build a centralized BBU pool and use OpenStack cloud platform for unified control and deployment of virtual resources in the pool. In this scenario, this paper proposes a dual threshold adaptive dynamic migration strategy, which sets the upper and lower threshold for the physical nodes’ resource utilization in the BBU pool and realize adaptive dynamic migration.
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