Dynamic data stream scheduling method of data center based on hybrid transmission mode

Abstract

Disclosed is a dynamic data stream scheduling method of a data center based on a hybrid transmission mode. The dynamic data stream scheduling method of the data center based on the hybrid transmission mode comprises, in a data center network based on the hybrid transmission mode, taking the volume of a data stream, a network topological graph formed by connecting switches in a wired mode, an interference graph formed by connecting the switches in a wireless mode and available wireless connection at input, solving a data stream scheduling problem by integrating the methods of relaxation algorithm, linear programming and the like, and lastly, obtaining a data stream transmission route and link service conditions as algorithm output. By reasonable scheduling mass data streams in the data center, the dynamic data stream scheduling method of data center based on the hybrid transmission mode eliminates the hotspot problem of the data center, solves jamming and improves the integral performance of the data center can be improved; meanwhile, the dynamic data stream scheduling method of data center based on the hybrid transmission mode can control the consumption within a certain range and accordingly avoid introducing new burdens to the data center. The dynamic data stream scheduling method of data center based on the hybrid transmission mode can reasonably schedule mass data streams in a network, eliminate hotspots and jamming of the data center network and improve the performance of the data center.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a dynamic data flow scheduling method of a data center based on a mixed transmission mode. Background technique [0002] In recent years, Internet technology has developed rapidly, and cloud computing technology has been greatly promoted and improved. As the infrastructure of cloud computing, the development of data centers has brought unprecedented benefits to the promotion and popularization of cloud computing. At present, application services based on cloud computing are showing rapid growth and are applied in various fields of life, bringing great convenience to people's work, study, and entertainment. However, with the development of data centers and the growth of large-scale services based on cloud computing technology, the data streams generated by these services show polarization characteristics, including small data streams sensitive to delay and sensit...

AI Technical Summary

Problems solved by technology

However, with the development of data centers and the growth of large-scale services based on cloud computing technology, the data streams generated by these services show polarization characteristics, including small data streams sensitive to delay and sensitive to output. The routing and scheduling of these data streams pose a huge challenge to the data center network

How to efficiently handle mixed data flows has become a bottleneck restricting the development of data center networks

[0003] The combination of delay-sensitive small data flows and output-sensitive large data flows dynamically generates hot connections in the data center network, causing network congestion and severely affecting data center performance

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