Xuan Thuy Dang - Academia.edu (original) (raw)

Papers by Xuan Thuy Dang

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 2020

Network virtualization technologies allow 5G and beyond mobile networks to support new vertical a... more Network virtualization technologies allow 5G and beyond mobile networks to support new vertical applications of various service types. Network slicing (NS) further provides a concept for multi-tenant access to common network infrastructure spreading from core and transport to radio access networks. Nevertheless, the management and orchestration of network slices across multiple infrastructure and administrative domains have only recently gained attention. In this work, we first present a reference architecture for NS management and its brokering layer that enables NS discovery and dynamic composition. We detail the designs of the main NS brokering components, i.e., NS information model and NS request handling, which address some unique challenges of multi-domain NS brokering. Our approach combines machine learning and logic reasoning for the selection of NSs based on their functional, non-functional attributes and other policy constraints. Finally, we validate the NS request matching approach and observe a high prediction accuracy. We conclude the work with a discussion on possible improvement to the NS matching approach and its extension for cross-domain NS management.

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021

Connected and autonomous driving is one of the prominent vertical applications to showcase the ca... more Connected and autonomous driving is one of the prominent vertical applications to showcase the capabilities of the 5G mobile network to transform and disrupt numerous industrial sectors and service chains. Cooperative autonomous mobility applications require ultra low latency communication, utilize massive broadband connections for vast numbers of connected devices, all of this under high mobility settings. Cloud and Edge Computing, artificial intelligence (AI), and the Internet of things (IoT) pave the path for the most important role of 5G: to attain an integration platform for the challenges of vertical applications. In this work, we first review these enabling features of 5G for autonomous driving and their integration in our autonomous driving testbed on urban public roads. We then propose an enhancement to the 5G vehicle to everything (V2X) architecture by incorporating the informationcentric communication paradigm. Our simulations of a proposed approach for integrated service discovery and placement in the high mobility settings of autonomous driving applications show improved service continuity and latency measured by hop counts to service endpoints and number of cache nodes. The results serve as a base line performance indicator for the practical implementation of the proposed approach.

2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC), 2021

Recent advances in mobile communication, mobile cloud, and Internet of Things (IoT) technologies ... more Recent advances in mobile communication, mobile cloud, and Internet of Things (IoT) technologies are transforming various vertical application domains. Particularly eHealth ser-vices are expected to take advantage of those enabling technolo-gies to evolve towards remote, patient-centric, and individualized care. In this work, we study the role of the fifth generation mobile technology (5G) as an integrator for various enablers to create a converged infrastructure for future eHealth applications. We first analyze high-impact and industry-driven eHealth use cases and identify challenges. We then propose a reference architecture for a future eHealth infrastructure, which is a fusion of cloud, edge, IoT, and other emerging technologies. Finally, to evalu-ate the proposed architecture, we implement a remote patient monitoring service comprising the architecture components and enablers, i.e., mobile device sensors and distributed intelligent data analysis. The evaluation shows an effective integration of artificial intelligence (AI) components to support novel eHealth applications.

2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 2019

5G network evolution results in new challenges for mobile network management and orchestration. T... more 5G network evolution results in new challenges for mobile network management and orchestration. The emerging SDN and NFV technologies are transforming the network infrastructure and network service components into compositions of programmable virtualized functions. The resulting flexibility allows the network to be conceived as services, which are aware of vertical application QoS/QoE requirements. While most recent works focus on flexible network control and improved resource utilization in emerging mobile network architectures, an end-to-end orchestration of both network infrastructure and vertical application is not adequately explored. In this work, we identify the challenges and propose a service oriented framework for application-aware end-to-end mobile network orchestration. We also present a prototypical realization of the proposed framework, which is an orchestration platform for virtualized mobile networks. To address the challenges of multi-stakeholder and multi-layer mobile network architecture, we employ event calculus for modeling the network layers, and abductive reasoning approach for autonomous policy translation and service provisioning in a 2-phase algorithm. The framework is validated with a 5G enhanced mobility management application as a service on our software defined mobile network testbed. Initial performance measurements are analyzed for practical insights into the proposed framework, as well as suggestions for its future development.

The ongoing digitalization trend has given rise to the concept of smart cities, targeting the int... more The ongoing digitalization trend has given rise to the concept of smart cities, targeting the interconnection of city infrastructure and services over a digital layer for innovative technological solutions as well as improvements on existing facilities in cities. This article investigates the critical information system constituents of smart cities that facilitate the holistic integration of its ecosystem and resources with the aim to foster dynamic and adaptive software. We identify three main enablers in this direction: (i) semantic functional description of city objects, representing physical devices or abstract services, (ii) a distributed service directory that embodies available city services for service lookup and discovery, (iii) planning tools for selecting and chaining basic services to compose new complex services. We provide an overview of the approach adopted in our ongoing smart city project for each of these three dimensions.

2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2021

The complex interactions in advanced CCAM use cases that utilize C-V2X infrastructure require nov... more The complex interactions in advanced CCAM use cases that utilize C-V2X infrastructure require novel means to develop and test the solutions, especially when it comes to cross-border or cross-domain environments that consist of an overlay of multiple stakeholders. Accordingly this paper proposes a concept for a simulative / emulative platform for C-V2X applications in order to facilitate the development of advanced CCAM use cases. For this purpose we combine different simulation approaches with the in-vehicle C-V2X infrastructure, which allows us, based on realistic traffic conditions, to create additional emulated road users and test the integration of multi-operator C-V2X platforms.

Computer Communications, 2018

The evolution of mobile network technologies and their vertical integration, heterogeneity of app... more The evolution of mobile network technologies and their vertical integration, heterogeneity of applications, and the advent of sophisticated end-user devices have continuously been expanding the complexity of network management tasks. In addition, there is a significant urge for the dynamic reconfiguration of networks to meet operators' costs and to achieve their performance objectives. These facts substantiate the idea of pushing the classical human dependent network management approaches out of the equation to a great extent. The vast scope of network management makes it difficult to have a common understanding and definition, which is often noticeable in different research articles. The situation is further worsened by the network evolution timeline that traverses several technological shifts, such as the time when computer networks and mobile networks were far apart, to the time of fully IP-based and converged networks. Hence, one of the main aims of this paper is to provide a study of the network management evolution in general and in particular the concepts of autonomic network management, so that researchers may be equipped to understand the involved concepts. To achieve the aforementioned objective, the authors carried out an elaborate analysis of the different network management approaches, mapped them to a timeline, and discussed their features. This analysis sets the stage for an extensive discussion of the enabling concepts of autonomic network management, followed by a survey of research projects targeting the advancement of the autonomic networking vision. Having identified incomplete realizations of autonomic network management due to simplifying assumptions, this paper focused on the relevant aspects of architectural construction with the presentation of the core challenges to be addressed so as to realize a fully autonomic network management framework. These challenges led us to reconstruct the design goals that the contributions of this work were built upon. The first proposal of this paper is to deploy intelligent software agents on different hierarchical layers of the proposed mobile network architecture. The agents implement different stages of cognitive control loops and contribute to learning algorithms for various management tasks. CoDIPAS-RL learning framework is used for layer specific learning decisions. To advance the autonomic network management, the authors also propose a novel idea of self-learning that enables the meta-learning vision. This paper concludes with a discussion on the implementation of our autonomic network management framework and with a use case that shows the performance of the proposed approach.

Lecture Notes in Business Information Processing, 2018

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014

Traffic systems of major cities have reached a high level of sophistication, yet, we think their ... more Traffic systems of major cities have reached a high level of sophistication, yet, we think their heterogeneity difficult. Ever-new mobility concepts occur, such as car or ride sharing. It is our opinion that a holistic consideration of all available concepts may provide significant benefits. In this paper we present such consideration in the form of an open accessible, agent-based mobility platform, namely the IMA system.

2018 Wireless Days (WD), 2018

The advent of SDN in mobile networks enables mobility management solutions with a flow-centric pe... more The advent of SDN in mobile networks enables mobility management solutions with a flow-centric perspective. Based on SDN/NFV paradigms the softwarized data plane encourages new architectures for flexible mobile networks with autonomous adaptation and self-optimization capabilities. However, the inherent challenges of the SDN control plane such as scalability or protocol versioning issues are often neglected in those designs. In this work we demonstrate a possible transformation from the rather monolithic 3GPP architecture to a more flexible SDNized network by means of a vertical mobility management solution. We analyze restrictions of the current OpenFlow protocol and propose various extensions as enablers for an SDNized 3GPP architecture that addresses said control plane issues. Using the kernel Berkeley Packet Filter, we show a feasible realization of the extensions, which supports faster integration of novel flexible mobility management approaches.

IEEE Access

Smart cities generally aim at efficiently organizing and managing city resources through a digita... more Smart cities generally aim at efficiently organizing and managing city resources through a digital layer on top of the legacy infrastructure. As the digitalization trend goes on with an increasing pace and with the involvement of a diverse set of actors, proper management of this digital layer as well as the services deployed over it becomes ever more crucial. This article presents our methodology of transforming the complex smart city concept and its digital layer into a structured model for creating a dynamic and adaptive service ecosystem in the digital cities of future. An overview of the smart city concept and the three-tier architecture that emerges through the digitalization of cities is presented first, together with the main challenges in attaining coherent smart city service environments that can avoid fragmentation, ensure scalability, and allow reuse. The three major enablers that are identified in this direction are (i) a semantic functional description of city objects, representing physical devices or abstract services, (ii) a distributed service directory that embodies available city services for service lookup and discovery, (iii) planning tools for selecting and chaining basic services to compose new complex services. For each of these, a high level overview of the available tools and results from the research literature are provided as well as the relevant standards. This overview is complemented with our own approach and design choices in project ISCO (Internet of Smart City Objects). Through the implementation of two distinct use cases, the article illustrates how ISCO components can jointly enrich service creation and consumption for various stakeholders in smart cities.