Azure Arc As an Extension of the Azure Control Plane

Author(s):  
Steve Buchanan ◽  
John Joyner
Keyword(s):  
Author(s):  
Sharifah K. Syed-Yusof ◽  
Paulson Eberechukwu Numan ◽  
Kamaludin Mohamad Yusof ◽  
Jafri Bin Din ◽  
Muhammad Nadzir Bin Marsono ◽  
...  

2021 ◽  
Vol 59 (3) ◽  
pp. 62-68
Author(s):  
Deyun Li ◽  
Hongqiang Fang ◽  
Xu Zhang ◽  
Jin Qi ◽  
Zuqing Zhu

2015 ◽  
Vol 44 (4) ◽  
pp. 223-234 ◽  
Author(s):  
Guan-Hua Tu ◽  
Yuanjie Li ◽  
Chunyi Peng ◽  
Chi-Yu Li ◽  
Hongyi Wang ◽  
...  

2021 ◽  
Vol 13 (8) ◽  
pp. 196
Author(s):  
Francesco Chiti ◽  
Romano Fantacci ◽  
Roberto Picchi ◽  
Laura Pierucci

The creation of the future quantum Internet requires the development of new systems, architectures, and communications protocols. As a matter of fact, the optical fiber technology is affected by extremely high losses; thus, the deployment of a quantum satellite network (QSN) composed of quantum satellite repeaters (QSRs) in low Earth orbit would make it possible to overcome these attenuation problems. For these reasons, we consider the design of an ad hoc quantum satellite backbone based on the Software-Defined Networking (SDN) paradigm with a modular two-tier Control Plane (CP). The first tier of the CP is embedded into a Master Control Station (MCS) on the ground, which coordinates the entire constellation and performs the management of the CP integrated into the constellation itself. This second tier is responsible for entanglement generation and management on the selected path. In addition to defining the SDN architecture in all its components, we present a possible protocol to generate entanglement on the end-to-end (E2E) path. Furthermore, we evaluate the performance of the developed protocol in terms of the latency required to establish entanglement between two ground stations connected via the quantum satellite backbone.


2020 ◽  
pp. 1-20
Author(s):  
K. Muthamil Sudar ◽  
P. Deepalakshmi

Software-defined networking is a new paradigm that overcomes problems associated with traditional network architecture by separating the control logic from data plane devices. It also enhances performance by providing a highly-programmable interface that adapts to dynamic changes in network policies. As software-defined networking controllers are prone to single-point failures, providing security is one of the biggest challenges in this framework. This paper intends to provide an intrusion detection mechanism in both the control plane and data plane to secure the controller and forwarding devices respectively. In the control plane, we imposed a flow-based intrusion detection system that inspects every new incoming flow towards the controller. In the data plane, we assigned a signature-based intrusion detection system to inspect traffic between Open Flow switches using port mirroring to analyse and detect malicious activity. Our flow-based system works with the help of trained, multi-layer machine learning-based classifier, while our signature-based system works with rule-based classifiers using the Snort intrusion detection system. The ensemble feature selection technique we adopted in the flow-based system helps to identify the prominent features and hasten the classification process. Our proposed work ensures a high level of security in the Software-defined networking environment by working simultaneously in both control plane and data plane.


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