Methods and algorithms optimization of adaptive traffic control in the virtual data center

Abstract

Nowadays the cloud computing technology is developing steadily and new approaches for work organization are still appearing. One of the problems of cloud computing technology is the control of the traffic in cloud applications and services in the network environment of virtual data center. The advantage of modern infrastructure's virtualization is the possibility to use the software-defined networks and software-defined data storages. But the existing solutions algorithmic optimization does not take into account the peculiarities of routing the heterogeneous flows network traffic. The optimization task of traffic distribution in cloud applications and services is solved by using software-defined infrastructure and virtual data centers. We suggested the simulation model for the traffic in software-defined segments of data center networks, involved in user application and service requests within a network environment including heterogeneous cloud platform and software-defined data storages. Our model allows to implement the traffic management algorithm of cloud applications and to optimize the access to storage systems through the effective use of data transmission channels. In the course of experimental studies we found that the use of our algorithm leads to a decrease in response time of cloud applications and services, and, so increasing the productivity of user request processing and reducing the number of refusals.