Abstract
Currently, large data sets are deployed on large-scale clusters, which require a large amount of physical resources. However, current network architecture does not have flexible deployment, making it difficult to adjust physical resources after deployment. Based on software definition network, this article proposes a framework for building virtual data domain, which establishes a multi-attribute decision model by network nodes for optimizing the deployment of control layer, so as to realize large-scale deployment. By analyzing the actual usage and virtual distribution of the underlying data resources, a mapping algorithm of network resource overhead–allocation ratio is proposed for adjusting the mapping space of network flow based on the mapping result, so as to meet more virtual domain applications. At the same time, the reasonable utilization of resources is helpful to reduce the communication delay in domain. Simulation results show that compared with the shortest path mapping and greedy resource mapping algorithms, the virtual domain established by the network resource overhead–allocation algorithm can improve the resource utilization rate by 10% and reduce the intra-domain communication delay by 30%. Therefore, under the background of the expanding scale of data domain, this framework can solve the problem that the current backward network architecture cannot adapt to the development trend of the information field.
Highlights
With the continuous promotion of big data concepts, analysts using the data sets of technology business analyze them to provide decision makers with data-based decisions
When the Network resource overhead–allocation ratio mapping algorithm resources value is smaller, and can be assigned to the resource value, the greater the biggest is calculated to decide the smaller b, network scheme is the better the results show that the mapping, can better allocation of network resources, virtual domain application for the future with more resources, can accept more virtual domain application b = DOÀðNNs0s, LLs0sÞÁ
Three experimental schemes from 10 D data mart node to node A data mart of information communication, the results showed A-B-C-D scheme of average time less than other schemes, suggests A-B-C-D scheme of compute resources (CPU) processing information ability is better than other schemes
Summary
With the continuous promotion of big data concepts, analysts using the data sets of technology business analyze them to provide decision makers with data-based decisions. The data set needs to be service-oriented, dynamic data domain build, different statistics metrics, and businessbased data.[6,7,8] Because of the increasing scale of the data domain, it causes the underlying traditional hardware to adapt to this development trend.[9] Under the traditional network architecture, either from the performance of a single network equipment or multiple network equipment structure into consideration, are difficult to support the current rapid development of information demand,[10,11] the main reason is the current backward network architecture cannot adapt to the development trend of this kind of big data To this end, it is necessary to put forward a data domain construction method that adapts to business development under the new network architecture.[12,13]. Qn represents the total number of nodes in the network u0
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