@inproceedings{b144c809bb45426f858ac5ed8c6ef51b,
title = "VacoNet: Variable and connected architecture for data center networks",
abstract = "Todays data centers may contain tens of thousands of computers with progressively more specialized and expensive equipments. Thus, the research community has proposed various interconnect topologies e.g FatTree, Dcell and Bcube. However, these architectures are too complex and very expensive to construct and they suffer from high average path length (APL) and latency. Motivated by these challenges, we propose a new data center architecture called VacoNet that combines the advantages of existing architectures while avoiding their limitations. VacoNet is a reliable, high-performance, and cost effective data center topology that can improve the network performance in terms of average path length and network latency. In addition, VacoNet can reach even 50% in infrastructure cost reduction and the power consumption will be decreased with more than 50000 watt compared to all the previous architectures. Both theoretical analysis and simulation experiments are conducted to evaluate the overall performance of the proposed architecture.",
keywords = "Data center network, average path length, infrastructure cost, network latency, the power consumption",
author = "Zina Chkirbene and Sebti Foufou and Ridha Hamila",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 ; Conference date: 03-04-2016 Through 07-04-2016",
year = "2016",
month = sep,
day = "12",
doi = "10.1109/WCNC.2016.7564867",
language = "English (US)",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Wireless Communications and Networking Conference, WCNC 2016",
}