F
Felipe Estrada-Solano
Researcher at University of Cauca
Publications - 11
Citations - 922
Felipe Estrada-Solano is an academic researcher from University of Cauca. The author has contributed to research in topics: Network management & Software-defined networking. The author has an hindex of 6, co-authored 10 publications receiving 593 citations. Previous affiliations of Felipe Estrada-Solano include University of Waterloo & State University of Campinas.
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Journal ArticleDOI
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Raouf Boutaba,Mohammad A. Salahuddin,Noura Limam,Sara Ayoubi,Nashid Shahriar,Felipe Estrada-Solano,Felipe Estrada-Solano,Oscar Mauricio Caicedo +7 more
TL;DR: This survey delineates the limitations, give insights, research challenges and future opportunities to advance ML in networking, and jointly presents the application of diverse ML techniques in various key areas of networking across different network technologies.
Journal ArticleDOI
Machine Learning for Cognitive Network Management
Sara Ayoubi,Noura Limam,Mohammad A. Salahuddin,Nashid Shahriar,Raouf Boutaba,Felipe Estrada-Solano,Oscar Mauricio Caicedo +6 more
TL;DR: This article is intended to stimulate thought and foster discussion on how to defeat the bottlenecks that are limiting the wide deployment of autonomic systems, and the role that ML can play in this regard.
Journal ArticleDOI
A framework for SDN integrated management based on a CIM model and a vertical management plane
Felipe Estrada-Solano,Armando Ordonez,Lisandro Zambenedetti Granville,Oscar Mauricio Caicedo Rendon +3 more
TL;DR: An information model based on the common information model that establishes a technology-agnostic and consistent characterization of the SDN architecture is introduced that represents the core towards building a Management Plane aimed to facilitate the integrated SDN management in heterogeneous environments.
Journal ArticleDOI
NELLY: Flow Detection Using Incremental Learning at the Server Side of SDN-Based Data Centers
TL;DR: The Network Elephants Learner and anaLYzer (NELLY), a novel and efficient method for applying incremental learning at the server side of software-defined data center networks to accurately and timely identify elephant flows with low traffic overhead, is introduced.
Proceedings ArticleDOI
A mashup ecosystem for network management situations
TL;DR: This paper introduces a novel mashup ecosystem, called Mashment Ecosystem, that allows Network Administrators to conduct on a Mashment Maker the activities and interactions necessary to provide Mashments, and corroborated that network Administrators, in this ecosystem, need short-time to deal with network management situations.