R
Ranganai Chaparadza
Researcher at ETSI
Publications - 33
Citations - 271
Ranganai Chaparadza is an academic researcher from ETSI. The author has contributed to research in topics: Autonomic networking & Network architecture. The author has an hindex of 9, co-authored 23 publications receiving 258 citations. Previous affiliations of Ranganai Chaparadza include Fraunhofer Institute for Open Communication Systems.
Papers
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Creating a viable Evolution Path towards Self-Managing Future Internet via a Standardizable Reference Model for Autonomic Network Engineering.
Ranganai Chaparadza,Symeon Papavassiliou,Timotheos Kastrinogiannis,Martin Vigoureux,Emmanuel Dotaro,Alan Davy,Kevin Quinn,Michal Wodczak,Andras Toth,Athanassios Liakopoulos,Mick Wilson +10 more
Journal ArticleDOI
Standardizing a reference model and autonomic network architectures for the self-managing future internet
Michal Wodczak,Tayeb Ben Meriem,Benoit Radier,Ranganai Chaparadza,Kevin Quinn,Jesse Kielthy,Brian Lee,Laurent Ciavaglia,Kostas Tsagkaris,Szymon Szott,Anastasios Zafeiropoulos,Athanassios Liakopoulos,Apostolos Kousaridas,M. Duault +13 more
TL;DR: An Industry Specification Group (ISG) on Autonomic network engineering for the self-managing Future Internet (AFI) has been established under the auspices of the European Telecommunications Standards Institute (ETSI).
Book ChapterDOI
OSPF for Implementing Self-adaptive Routing in Autonomic Networks: A Case Study
TL;DR: It is argued that the degree of self-management and self-adaptation embedded by design into existing protocols needs to be well understood before one can enhance or integrate such protocols into self-managing network architectures that exhibit more advanced autonomic behaviors.
Book ChapterDOI
Addressing Stability of Control-Loops in the Context of the GANA Architecture: Synchronization of Actions and Policies
TL;DR: This paper proposes to enhance the GANA --- a recently emerged architectural Reference-Model for Autonomic Networking, such that actions, policy enforcements and/or (re-) configurations, issued by different autonomic entities, are synchronized in such a way that they lead to the best possible reaction of the system to the challenging conditions the network is exposed to.
Proceedings ArticleDOI
Autonomic Fault-Management and resilience from the perspective of the network operation personnel
TL;DR: This paper presents considerations on how an Autonomic Fault-Management control loop (“detect an incident” — “find the root cause behind it” – “remove the rootcause”) can be controlled by the network operation personnel.