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An Adaptable and Agnostic Flow Scheduling Approach for Data Center Networks by Gutiérrez, Sergio Armando; Botero, Juan Felipe; Branch, John Willian is a scholarly article available to read on EtoBox.

What is An Adaptable and Agnostic Flow Scheduling Approach for Data Center Networks about?

Cloud applications have reshaped the model of services and infrastructure of the Internet. Search engines, social networks, content delivery and retail and e-commerce sites belong to this group of applications. An important element in the architecture of data centers where these applications run is the communication infrastructure, commonly known as data center networks (DCNs). A critical challenge DCNs have to address is the processing of the traffic of cloud applications, which due to its properties is essentially different to the traffic of other Internet applications. In order to improve the responsiveness and throughput of applications, DCNs should be able to prioritize short flows (a few KB) over long flows (several MB). However, given the time and space variations the traffic presents, the information about flow sizes is not available in advance in order to plan the flow scheduling. In this paper, we present an adaptable mechanism called Adaptable Workload-Agnostic Flow Scheduling (AWAFS). It is an adaptable approach that can adjust in an agnostic way the scheduling configuration of DCN forwarding devices. This agnostic adjustment contributes to reduce the Flow Completion Ti

Author

Gutiérrez, Sergio Armando; Botero, Juan Felipe; Branch, John Willian

Published

2022

Language

EN