CitationBouacida Abstract-The controller is a critical piece of the SDN architecture, where it is considered as the mastermind of SDN networks. Thus, its failure will cause a significant portion of the network to fail. Overload is one of the common causes of failure since the controller is frequently invoked by new mice flows. Even through SDN controllers are often replicated, the significant recovery time can be an overkill for the availability of the entire network. In order to overcome the problem of the overloaded controller failure in SDN, this paper proposes a novel controller offload solution for failure mitigation based on a prediction module that anticipates the presence of a harmful long-term load. In fact, the long-standing load would eventually overwhelm the controller leading to a possible failure. To predict whether the load in the controller is short-term or long-term load, we used three different classification algorithms: Support Vector Machine, k-Nearest Neighbors, and Naive Bayes. Our evaluation results demonstrate that Support Vector Machine algorithm is applicable for detecting the type of load with an accuracy of 97.93% in a real-time scenario. Besides, our scheme succeeded to offload the controller by switching between the reactive and proactive mode in response to the prediction module output.
The Intent-Based Northbound Interface (NBI) offers users the ability to express what they want to achieve instead of how to achieve it, enabling improvements to network management and reducing operational costs. However, development of an Intent-Based NBI remains in its infancy. Existing solutions do not allow users to express high-level operational targets that appropriately capture business objectives, nor link these to lower-level management policies and operations. We propose an extensible Intent-based NBI framework and a higher-level declarative intent expression to enable service-oriented intents with different targets. We focus on the creation of intents and their mapping from high-level expressions to low-level policies, and consider this from the perspective of an intent developer in the context of a Cloud CDN use case.
In-network content caching allows content to be located towards the edge of the network, closer to users. This approach addresses the challenge of exponentially increasing video traffic. We consider OpenCache: an opensource, highly configurable, efficient and transparent in-network caching that leverages Software Defined Networking (SDN) to benefit last mile environments. However, due to its reliance on a centralised OpenCache controller and SDN controller, it suffers from three issues: scalability, reliability and high availability. In this work, we build on and extend the capabilities of OpenCache as a caching solution by leveraging Network Functions Virtualisation (NFV) and using a distributed SDN controller. We discuss the architectural design and technology decisions for the caching platform distribution including the functional components and highlight the role of virtualising, orchestrating and managing the key processes of caching content and control functions. Our target is to design an open-source, distributed innetwork caching platform that is highly available, reliable and with automated elasticity to enable serving the increasing VoD traffic quickly and efficiently.
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