FT-SDN: a fault-tolerant distributed architecture for software defined network

RK Das, FH Pohrmen, AK Maji, G Saha - Wireless personal …, 2020 - Springer
Abstract The traditional Software Defined Network (SDN) architecture is based on single
controller in the Control Plane. Therefore, network functioning become highly dependent on …

Flow-aware forwarding in SDN datacenters using a knapsack-PSO-based solution

S Abdollahi, A Deldari, H Asadi… - … on Network and …, 2021 - ieeexplore.ieee.org
With the rapid growth of different massive applications and parallel flow requests in Data
Center Networks (DCNs), today's providers are confronting challenges in flow forwarding …

FMap: A fuzzy map for scheduling elephant flows through jumping traveling salesman problem variant toward software‐defined networking‐based data center …

S Abdollahi, H Asadi… - Concurrency and …, 2023 - Wiley Online Library
Nowadays data center networks (DCNs) should handle the ever‐growing load generated by
diverse applications. It particularly occurs under concurrent flow requests and so‐called …

数据中心基于服务满足度的网络流避让方法.

武自强, 周建涛, 赵大明, 柳林 - Journal of Computer …, 2021 - search.ebscohost.com
越来越多的行业开始利用云以降低成本提高生产力, 支撑多样化的服务对数据中心的网络性能
提出了更高的要求, 如何高负载下优先保证各项服务的质量变得至关重要, 云服务提供商同时也 …

Migration Deep Learning Model for Malware Detection in Power Information Network Security

X Li, W Duan, B Wang, W Wei, X Wang… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
This paper proposes a deep learning-based approach to solve the malware classification
problem. This method first uses image processing technology to convert the signature file of …

Novel Algorithms and Protocols for Networks

D Careglio, M Klinkowski, F Palmieri - Applied Sciences, 2021 - mdpi.com
Today, applications can be instantiated in a number of data centers located in different
segments of the network, from the core to the edge. Users accessing these applications …