@inproceedings{16218,
  abstract     = {{Despite recent progress in orchestration of Virtual Network Functions (VNFs) and in multi-technology SDN connectivity, the automated provisioning of end-to-end network services composed of virtual functions deployed across distributed compute locations remains an open challenge. This problem is especially relevant to support the deployment of future 5G networks, comprising virtual access and core network functions connected through a potentially multi-domain transport network.
In this paper, we present and demonstrate the 5GOS, a lightweight end-to-end orchestration framework that enables the
automated provisioning of virtual radio access network services. Using an experimental multi-domain testbed we demonstrate that the 5GOS can provision multi-domain virtual Wi-Fi and LTE services in less than three minutes.}},
  author       = {{Camps-Mur, Daniel and  Canellas, Ferran and Machwe, Azahar and Paracuellos, Jorge and Choumas, Kostas and Giatsios, Dimitris and Korakis, Thanasis and Razzaghi Kouchaksaraei, Hadi}},
  booktitle    = {{the 6th IEEE International Conference on Network Softwarization (IEEE NetSoft 2020)}},
  keywords     = {{Orchestration, multi-domain, cellular network virtualization, SDN, 5G}},
  location     = {{Ghent, Belgium}},
  title        = {{{5GOS: Demonstrating multi-domain orchestration of end-to-end virtual RAN services}}},
  year         = {{2020}},
}

@inproceedings{9809,
  abstract     = {{Remarkable advantages of Containers (CNs) over Virtual Machines (VMs) such as lower overhead and faster startup has gained the attention of Communication Service Providers (CSPs) as using CNs for providing Virtual Network Functions (VNFs) can save costs while increasing the service agility. However, as it is not feasible to realise all types of VNFs in CNs, the coexistence of VMs and CNs is proposed. To put VMs and CNs together, an orchestration framework that can chain services across distributed and heterogeneous domains is required. To this end, we implemented a framework by extending and consolidating state-of-the-art tools and technologies originated from Network Function Virtualization (NFV), Software-defined Networking (SDN) and cloud computing environments. This framework chains services provisioned across Kubernetes and OpenStack domains. During the demo, we deploy a service consist of CN- and VM-based VNFs to demonstrate different features provided by our framework.}},
  author       = {{Razzaghi Kouchaksaraei, Hadi and Karl, Holger}},
  booktitle    = {{13th ACM International Conference on Distributed and Event-based Systems}},
  keywords     = {{Network Function Virtualization, Software-defined Networking, Cloud Computing, service orchestration, OpenStack, Kubernetes}},
  location     = {{Darmstadt}},
  title        = {{{Service Function Chaining Across OpenStack and Kubernetes Domains}}},
  doi          = {{10.1145/3328905.3332505}},
  year         = {{2019}},
}

@inproceedings{12882,
  abstract     = {{One of the major challenges in implementing wireless virtualization is the resource discovery. This is particularly important for the embedding-algorithms that are used to distribute the tasks to nodes. MARVELO is a prototype framework for executing different distributed algorithms on the top of a wireless (802.11) ad-hoc network. The aim of MARVELO is to select the nodes for running the algorithms and to define the routing between the nodes. Hence, it also supports monitoring functionalities to collect information about the available resources and to assist in profiling the algorithms. The objective of this demo is to show how MAVRLEO distributes tasks in an ad-hoc network, based on a feedback from our monitoring tool. Additionally, we explain the work-flow, composition and execution of the framework.}},
  author       = {{Afifi, Haitham and Karl, Holger and Eikenberg, Sebastian and Mueller, Arnold and Gansel, Lars and Makejkin, Alexander and Hannemann, Kai and Schellenberg, Rafael}},
  booktitle    = {{2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo)}},
  keywords     = {{WSN, virtualization, VNE}},
  title        = {{{A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO}}},
  year         = {{2019}},
}

@article{17666,
  abstract     = {{Software Defined Networks (SDN) and Network Function Virtualisation (NFV) provide the basis for autonomous response and mitigation against attacks on networked computer infrastructures. We propose a new framework that uses SDNs and NFV to achieve this goal: Secure Autonomous Response Network (SARNET). In a SARNET, an agent running a control loop constantly assesses the security state of the network by means of observables. The agent reacts to and resolves security problems, while learning from its previous decisions. Two main metrics govern the decision process in a SARNET: impact and efficiency; these metrics can be used to compare and evaluate countermeasures and are the building blocks for self-learning SARNETs that exhibit autonomous response. In this paper we present the software implementation of the SARNET framework, evaluate it in a real-life network and discuss the tradeoffs between parameters used by the SARNET agent and the efficiency of its actions.}},
  author       = {{Koning, R. and de Graaff, B. and Polevoy, Gleb and Meijer, R. and de Laat, C. and Grosso, P.}},
  issn         = {{0167-739X}},
  journal      = {{Future Generation Computer Systems}},
  keywords     = {{Software defined networks, Network function virtualization, Cyber attacks, Cyber security, Defense efficiency, Overlay networks}},
  title        = {{{Measuring the efficiency of SDN mitigations against attacks on computer infrastructures}}},
  doi          = {{https://doi.org/10.1016/j.future.2018.08.011}},
  year         = {{2018}},
}

@inproceedings{2415,
  abstract     = {{In this paper we introduce to virtualization of hardware on reconfigurable devices. We identify three main approaches denoted with temporal partitioning, virtualized execution, and virtual machine. For each virtualization approach, we discuss the application models, the required execution architectures, the design tools and the run-time systems. Then, we survey a selection of important projects in the field. }},
  author       = {{Plessl, Christian and Platzner, Marco}},
  booktitle    = {{Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA)}},
  keywords     = {{hardware virtualization}},
  pages        = {{63--69}},
  publisher    = {{CSREA Press}},
  title        = {{{Virtualization of Hardware – Introduction and Survey}}},
  year         = {{2004}},
}