SDN based emulation of an academic networking testbed

Author(s):  
Muhammad Raza ◽  
Sanjoy Chowdhury ◽  
William Robertson
Keyword(s):  
2016 ◽  
Vol 73 ◽  
pp. 99-107 ◽  
Author(s):  
J.D. Beshay ◽  
K.S. Subramani ◽  
N. Mahabeleshwar ◽  
E. Nourbakhsh ◽  
B. McMillin ◽  
...  

2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Sisay Tadesse Arzo ◽  
Domenico Scotece ◽  
Riccardo Bassoli ◽  
Daniel Barattini ◽  
Fabrizio Granelli ◽  
...  

AbstractSoftware-defined networking decouples control and data plane in softwarized networks. This allows for centralized management of the network, but complete centralization of the controller functions raises potential issues related to failure, latency, and scalability. Distributed controller deployment is adopted to optimize scalability and latency problems. However, existing controllers are monolithic, resulting in code inefficiency for distributed deployment. Some seminal ongoing efforts have been proposed with the idea of disaggregating the SDN controller architecture into an assembly of various subsystems, each of which can be responsible for a certain controller task. These subsystems are typically implemented as microservices and deployed as virtual network functions, in particular as Docker Containers. This enables flexible deployment of controller functions. However, these proposals (e.g., $$\mu$$ μ ONOS) are still in their early stage of design and development, so that a full decomposition of the SDN controller is not been available yet. To fill that gap, this article derives some important design guidelines to decompose an SDN controller into a set of microservices. Next, it also proposes a microservices-based decomposed controller architecture, foreseeing communications issues between the controller sub-functions. These design and performance considerations are also proven via the implementation of the proposed architecture as a solution, called Micro-Services based SDN controller (MSN), based on the Ryu SDN controller. Moreover, MSN includes different network communication protocols, such as gRPC, WebSocket, and REST-API. Finally, we show experimental results that highlight the robustness and latency of the system on a networking testbed. Collected results prove the main pros and cons of each network communication protocol and an evaluation of our proposal in terms of system resilience, scalability and latency.


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