Project

Small cEllS coordinAtion for Multi-tenancy and Edge services (SESAME)

Goal: SESAME (H2020 5GPPP) targets innovations around three central elements in 5G: the placement of network intelligence and applications in the network edge through Network Functions Virtualisation (NFV) and Edge Cloud Computing; the substantial evolution of the Small Cell concept, already mainstream in 4G but expected to deliver its full potential in the challenging high dense 5G scenarios; and the consolidation of multi-tenancy in communications infrastructures, allowing several operators/service providers to engage in new sharing models of both access capacity and edge computing capabilities.

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Project log

Bego Blanco
added 2 research items
Belaunaldi berriko sareen ezaugarri espezifikoek ohiko sare ereduak erabiliz ez dute kudeaketa egokia ahalbidetzen, eskala doiketa, heterogeneotasuna eta agertoki hauen konplexutasuna kontuan hartu ezin dutelarik. Beraz, komunikazio sistema hauen diseinu eta kudeaketarako paradigma berriak definitzea beharrezkoa da. Modu honetan, machine learning-aren erabilpenaren bidez, sareari gaitasun kognitiboak gaineratzeak datuei erantsita sarean zehar garraiatzen den protokolo informazioaren maneiatzea posible egiten du. Informazio hau sarearen egoera inferitzeko erabiltzen da, disfuntzioak ekidituz eta guztirako errendimendua hobetuz. Artikulu honek sare mailan integratutako modulu adimentsu baten diseinua aurkezten du, offline machine learning-ean oinarrituz, bideraketa funtzionalitaterako informazioa bilduz eta interpretatuz. Testuinguruaz kontzientea den modulu kognitibo honek monitoreatutako sare egoeraren arabera bideraketa protokoloaren portaera manipulatzen du, horrela, matxurak ekidituz, trafikoa orekatuz eta hobekuntza globala eskuratuz.
In the context of cloud-enabled 5G radio access networks with network function virtualization capabilities, we focus on the virtual network function placement problem for a multitenant cluster of small cells that provide mobile edge computing services. Under an emerging distributed network architecture and hardware infrastructure, we employ cloud-enabled small cells that integrate microservers for virtualization execution, equipped with additional hardware appliances. We develop an energy-aware placement solution using a robust optimization approach based on service demand uncertainty in order to minimize the power consumption in the system constrained by network service latency requirements and infrastructure terms. Then, we discuss the results of the proposed placement mechanism in 5G scenarios that combine several service flavours and robust protection values. Once the impact of the service flavour and robust protection on the global power consumption of the system is analyzed, numerical results indicate that our proposal succeeds in efficiently placing the virtual network functions that compose the network services in the available hardware infrastructure while fulfilling service constraints.
Ioannis Neokosmidis
added 2 research items
The economic feasibility of a 5G media service in converged optical/wireless networks for crowded events in venues shows a ~6.5years payback period. Sensitivity analysis highlights the impact of tariffs and CAPEX on net present value.
Cristina Emilia Costa
added a research item
Virtualisation is playing a fundamental role in the evolution of telecommunication services and infrastructures, bringing to rethink some of the traditional design paradigms of the mobile network and enabling those functionalities necessary for supporting new complex ecosystems where multiple actors can participate in a dynamic and secure environment. In Small Cell enabled Mobile Edge Computing deployments, the impact of virtualization technologies is significant in two main aspects: the design and deployment of the telecommunication infrastructure, and the delivery of edge services. Besides, the adoption of virtualization technologies has implications also in the implementation of Self Organizing Network (SON) services and in the enforcement of Service Level Agreement (SLA) policies, both critical in the automation of the delivery of multi-tenant oriented services in such complex infrastructure. From the work performed by the H2020 SESAME project, the beneficial use of virtualization techniques emerges in adding network intelligence and services in the network edge. SESAME relays on virtualization for providing Small Cell as a Service (SCaaS) and per operator Edge Computing services, consolidating the emerging multi-tenancy driven design paradigms in communication infrastructures.
Roberto Riggio
added 5 research items
Past years have witnessed the surge of mobile broadband Internet traffic due to the broad adoption of a number of major technical advances in new wireless technologies and consumer electronics. In this respect, mobile networks have greatly increased their availability to meet the exponentially growing capacity demand of modern mobile applications and services. The upcoming scenario in the near future lays down the possibility of a continuum of communications thanks also to the deployment of so called small cells. Conventional cellular networks and the small cells will form the foundation of this pervasive communication system. Therefore, future wireless sys-tems must carry the necessary scalability and seamless operation to accommodate the users and integrate the macro cells and small cells together. In this work we propose the V–Cell concept, which is essentially a level of abstraction, and present the architectural details of the V–Cell approach, highlighting the pros and cons. More importantly, the V–Cell is potentially leading to a paradigm shift when approaching the system designs that allows to overcome most of the limitations of physical layer techniques in conventional wireless networks.
Programming a mobile network requires to account for multiple complex operations, such as allocating radio resources and monitoring interference. Nevertheless, the current Software-Defined Networking ecosystem provides little support for mobile networks in term of radio data-plane abstractions, controllers, and programming primitives. Starting from the consideration that WiFi is becoming an integral part of the 5G architecture, we present a set of programming abstractions modeling three fundamental aspects of a WiFi network, namely state management of wireless clients, resource provisioning, and network state collection. The proposed abstractions hide away the implementation details of the underlying wireless technology providing programmers with expressive tools to control the state of the network. We also describe a proof-of-concept implementation of a Software-Defined Radio Access Network controller for WiFi networks and a Python-based Software Development Kit leveraging the proposed abstractions. The resulting platform can be effectively leveraged in order to implement typical control tasks such as mobility management and traffic engineering as well as applications and services such as multicast video delivery and/or dynamic content caching.
Programming a mobile network requires to account for multiple complex operations, such as allocating radio resources and monitoring interference. Nevertheless, the current Software-Defined Networking ecosystem provides little support for mobile networks in term of radio data-plane abstractions, controllers, and programming primitives. In this work we present a set of programming abstractions modeling three fundamental aspects of a mobile network, namely state management of wireless clients, resource provisioning, and network state collection. The proposed abstractions hide away the implementation details of the underlying mobile technology providing programmers with expressive tools to control the state of the network. We also describe a proof-of-concept implementation of a Software-Defined Radio Access Network controller for WiFi networks and a Python-based Software Development Kit leveraging the proposed abstractions. The resulting platform can be effectively leveraged in order to implement typical control tasks such as mobility management and traffic engineering as well as application and services such as multicast video delivery and/or dynamic content caching.
Roberto Riggio
added 4 research items
Software–Defined Networking promises to deliver more flexible and manageable networks by providing a clear decoupling between control plane and data plane and by imple- menting the latter in a logically centralized controller. However, if such principles are to be applied also to wireless networks, new primitives and abstractions capable of providing programmers with a global view of the network capturing channel quality and interference must be devised. Moreover, the dynamic radio envi- ronment necessitates fast adaptation of physical parameters such as power, modulation and coding schemes. So the wireless SDN abstractions should allow for such adaptations to happen closer to the air interface. In this paper, we present high level abstractions for channel quality, interference and network reconfiguration; the latter permits operations differing in timescales to be carried out at different controller entities. The proposed concepts have been implemented and evaluated over a WiFi–based WLAN. Empirical measurements show that the proposed platform can be used to implement typical WiFi network management tasks such as channel assignment and interference monitoring.
Network Function Virtualization (NFV) has recently been proposed as a tool to optimize the deployment of network functions by shifting the processing from dedicated middleboxes to general purpose and inexpensive hardware platforms. In this paper, we propose a novel NFV-based management and orchestration framework for enterprise WLANs. Our framework is compatible with the ETSI NFV architecture and leverages on hybrid nodes combining the forwarding capabilities of a programmable switch with the storage/computational capabilities of a server. We propose an algorithm for Virtual Network Function placement which optimizes the functions deployment according to application level constraints. A proof-of-concept implementation of the proposed framework and a preliminary performance evaluation of selected VNFs are also presented.
Software-Defined Networking promises to deliver more flexible and manageable networks by providing a clear decoupling between control plane and data plane and by implementing the latter in a logically centralized controller. However, if such principles are to be applied also to wireless networks, new primitives and abstractions capable of providing programmers with a global view of the network capturing channel quality and interference must be devised. Moreover, the dynamic radio environment necessitates fast adaptation of physical parameters such as power, modulation and coding schemes. So the wireless SDN abstractions should allow for such adaptations to happen closer to the air interface. In this paper, we present high level abstractions for channel quality, interference and network reconfiguration; the latter permits operations differing in timescales to be carried out at different controller entities. The proposed concepts have been implemented and evaluated over a WiFi-based WLAN. Empirical measurements show that the proposed platform can be used to implement typical WiFi network management tasks such as channel assignment and interference monitoring.
Pouria Sayyad Khodashenas
added a research item
5G envisages a "hyper-connected society" where an enormous number of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as sub-millisecond latency, and higher data rates. Cloud-enabled radio access networks where intelligence is placed at the edge of the mobile network and in the proximity of end users emerge as a promising solution to improve online experience. To make cloud-enabled RAN more flexible and cost-effective, Network Functions Virtualisation and Software Defined Networking technologies are employed, enabling features such as resource pooling, scalability, spectral efficiency and multi tenancy. The accommodation of such technologies in the context of 5G requires multipronged efforts at various levels, in particular at the management and orchestration. Among all topics that falls into this subject, e.g. resource optimization and efficient lifecycle management, this paper focuses on two critical challenges, i.e. service mapping and QoS assurance. Particularly, the proposed service placement solution takes into account two main constraints, i.e. quality of user experience and limited hardware capabilities available at the network edge. Simulation tools as well as the SESAME testbed have been used to extract results in this paper and a proof-of-concept evaluation is presented.
Antonino Albanese
added 4 research items
The SESAME project aims to provide the platform for the coming 5G networks, bringing computational resources closer to the end user and consolidating computational power and radio resources in the form of Cloud Enabled Small Cells (CESC). Essential part of the CESC is the micro server, which is a computational platform, providing hardware and software accelerators to VNFs in order to meet the KPIs for 5G infrastructure. The present paper presents the investigation and implementation efforts related to the platform, allowing execution of accelerated VNFs. These efforts have been carried towards the development of an FPGA-based generic hardware accelerator, supporting virtualization and the acceleration of virtual machines network connectivity.
In this manuscript, we present the main concepts of the 5G-PPP SESAME project dedicated to the implementation of Cloud-Enabled Small Cells (CESCs), able to support edge cloud computing in a multi-tenant, multi-service ecosystem. More particularly, we give a preview of the SESAME concept at the component/sub-system, system and operation level. At the component/sub-system level, we detail our plan to deploy multi-operator enabled small cells, enhanced with a virtualised execution platform for 5G. At the system level, we present the envisaged architecture to manage and control the cloud-enabled small cell infrastructure. Finally, at the operation level, we explain the potential advantages of adopting the SESAME concept on the 5G access networks.
The exponential growth of video traffic and the outburst of novel video-based services is revealing the inadequacy of the traditional mobile network infrastructure. To respond to this and to many other demands coming from today's society, the 5G and the Multi-access Edge Computing (MEC) initiatives are proposing novel network architectures. In this context, this paper proposes the Video Transcoding Unit (VTU) application, which, leveraging on MEC principles, brings several functionalities to the edge of networks, greatly improving User Experience with mobile terminals. The VTU can be implemented as a SW (Software)-only Virtual Network Function, or be accelerated by a Graphics Processing Unit (GPU). Specific tests are described and discussed, showing the clear superiority of the HW (Hardware)-accelerated implementation in terms of computing performance and efficiency. A possible use case is presented, in which the VTU is used in a Stadium or in large public venues during crowded events like a sporting match or concerts. The work presented in this paper was undertaken under the EU Horizon2020 Sesame Project.
Bego Blanco
added 2 research items
Hurrengo belaunaldiko sareen kudeaketak eskakizun erronkariei aurre egin behar izango die NFV(Network Function Virtualization), MEC (Mobile Edge Computing) eta SDN (Software Defined Radio) bezalako teknologia gaitzaileen aplikazioaren bitartez. Horrelako kudeaketa egoera konplexuan, adimen artifizialaren erabilpena ziklo kognitibo gisa erreminta ezberdintzaile eta ahaltsua bilakatu daiteke sistemaren errendimendu orokorra hobetzeko. Lan honek cloud-ean oinarritutako maila-anitzeko ziklo kognitiboa aurkezten du, bai MEC bai cloud computing printzipioak aprobetxatzen dituena 5G arkitekturaren kontrol eta kudeaketa atazak bermatzeko. Eredu berriztatzaile honek eskema kognitibo zentralizatu eta banatuak konbinatzen ditu modulu erabakitzaileetan sare arkitekturaren maila ezberdinetan, ertza eta cloud ingurunearen arteko elkareragiketa sustatzeko.
5G envisages a "hyper-connected society" where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as sub-millisecond low latency. Mobile Edge Computing (MEC) concept where application computing resources are deployed at the edge of the mobile network in proximity of an end user is a promising solution to improve quality of online experience. To make MEC more flexible and cost-effective Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) technologies are widely adopted. It leads to significant CAPEX and OPEX reduction with the help of a joint radio-cloud management and orchestration logic. In this paper we discuss and develop a reference architecture for the orchestration and management of the MEC ecosystem. Along with the lifecycle management flows of MEC services, indicating the interactions among the functional modules inside the orchestrator and with external elements, QoS management with a focus on the channel state information technique is presented.
Pouria Sayyad Khodashenas
added a research item
To meet the communication expectations of the future, mobile networks need to evolve quicker than ever toward systems with ultra-low latency, huge traffic volume and higher data rates. Cloud-enabled radio systems have been introduced as a promising solution to meet these demands with the help of network functions virtualization techniques and network edge processing capabilities, which allow for increased resource pooling, scalability, layer interworking and spectral efficiency. Despite their potential benefits, joint radio-cloud systems pose technical challenges on the network management and orchestration, especially on ensuring the Quality of Service (QoS). To this end, having a complete loop of monitoring, decision-making and reaction is essential. However, considering the fact that the radio and the cloud parameters are inherently disparate, forming such a loop in a joint radio-cloud environment is very challenging. This challenge becomes more difficult in multi-tenant (operator) scenarios, targeted by 5G, where ensuring the QoS for one tenant should not violate the QoS of the others. This paper intends to state the problem from a 5GPPP H2020 perspective, and discusses a possible solution within the context of the SESAME project.
Fidel Liberal
added a research item
A video quality assessment mechanism for next-generation (5G) mobile networks uses the small cell deployment architecture to implement a virtual network function to enable in-service monitoring of delivered video quality.
Vassilios Vassilakis
added a research item
It is well acknowledged that one of the key enabling factors for the realization of future 5G networks will be the small cell (SC) technology. Furthermore, recent advances in the fields of network functions virtualization (NFV) and software-defined networking (SDN) open up the possibility of deploying advanced services at the network edge. In the context of mobile/cellular networks this is referred to as mobile edge computing (MEC). Within the scope of the EU-funded research project SESAME we perform a comprehensive security modelling of MEC-assisted quality-of-experience (QoE) enhancement of fast moving users in a virtualized SC wireless network, and demonstrate it through a representative scenario toward 5G. Our modelling and analysis is based on a formal security requirements engineering methodology called Secure Tropos which has been extended to support MEC-based SC networks. In the proposed model, critical resources which need protection, and potential security threats are identified. Furthermore, we identify appropriate security constraints and suitable security mechanisms for 5G networks. Thus, we reveal that existing security mechanisms need adaptation to face emerging security threats in 5G networks.
Cristina Emilia Costa
added 2 research items
The outstanding and continuous growth of the request of mobile broadband Internet access is creating the unprecedented need to rethink most of the design paradigms of the mobile network. Such trend is accompanied by remarkable progresses of miniaturised electronics, together with the proliferation of social services and computation intensive applications such as high definition video. On one hand, the current mobile network is unable to deliver sufficiently high data rates per user in order to support this growth, and a possible solution is provided by the dense deployment of small cell devices. On the other, mobile operators are struggling to lower costs of deployment and maintenance while keeping profitable revenues. This paper aims to provide overview of the solution developed by the 5G-PPP SESAME project. SESAME proposes to leverage on the concept of Small Cell-as-a-service (SCaaS), providing the complete architectural solution to deploy cloud-enabled small cells. The key innovations developed by SESAME include the deployment of computation capabilities at the mobile network edge, and to exploit virtualisation techniques to manage and orchestrate dense small cell scenarios and different use cases.
Small cells have emerged as a useful tool for supporting increased network capacity through network densification, but they can also be used to support edge cloud computing services. In this paper, we provide a preview of an innovative concept that tackles the consolidation of multi-tenancy in such type communications infrastructures, as well as the placement of network intelligence and applications in the network edge. After surveing the challenges and the enabling technologies, we present the envisaged architecture to manage and control the Cloud-Enabled Small Cell infrastructure. Also, at the operation level, we explain the potential advantages of adopting the proposed solutions on the long-term evolution access networks.
Bego Blanco
added a research item
This paper deals with the analysis of the impact of different scheduling algorithms on flow level mean delay performance of elastic traffic in a single cell wireless downlink data channel paradigm. An enhanced size-based and channel-aware discipline is proposed, which is based on the sized-aware Gittins index approach applied to a time-varying channel context. In order to compare the proposed Opportunistic Gittins rule performance with well-known scheduling algorithms, several simulations have been performed for stochastically arriving flows with Pareto sizes under fading conditions, for different network loads and channel quality indicator reporting rates. As concluded, an approach that combines both flow size-awareness and channel-awareness is the best option, which guarantees a trade-off between minimizing uplink overhead due to channel quality reports and improving scheduling performance aimed at reducing overall flow mean delay.
Bego Blanco
added a research item
Adding cognitive capabilities to the wireless networks makes it possible to leverage the control and management information used in the network operation to infer information about the local state and exploit it to improve the overall performance. This paper deals with the combined use of centralized and distributed cognitive cycles integrated at different planes in 5G networks: an integrated data plane, a unified control plane and a cross-layer management plane. This context-aware cognitive schema acts on the decision making modules depending on the monitored environment to prevent failures, balance the virtualized execution and get a global enhancement in the provision of mobile services. The multi-level cognitive cycle supports the interaction between the edge and the cloud blurring the line that separates two paradigms: centralized radio operation and mobile edge services.
Pouria Sayyad Khodashenas
added 3 research items
This paper analyzes current standardization situation of 5G and the role network softwarization plays in order to address the challenges the new generation of mobile networks must face. This paper surveys recent documentation from the main stakeholders to pick out the use cases, scenarios and emerging vertical sectors that will be enabled by 5G technologies, and to identify future high-level service requirements. Driven by those service requirements 5G systems will support diverse radio access technology scenarios , meet end-to-end user experienced requirements and provide capability of flexible network deployment and efficient operations. Then, based on the identified requirements, the paper overviews the main 5G technology trends and design principles to address them. In particular, the paper emphasizes the role played by three main technologies, namely SDN, NFV and MEC, and analyzes the main open issues of these technologies in relation to 5G.
Future 5G technologies are expected to overcome the challenges of next generation networks aiming to tackle the novel and manifold business requirements associated to different vertical sectors. Extraordinarily high speeds and capacity, multi-tenancy, heterogeneous technologies convergence, on-demand service-oriented resource allocation or even coordinated, automated management of resources are only few examples of the complex demands 5G aims to undertake. The shift from centralised cloud computing-based services towards data processing at the edge is becoming one of the fundamental components envisaged to enable those future 5G technologies. Edge computing is focused on pushing processing to the network edge where all the actual interactions in the access networks take place and the critical low-latency processing occurs. Combination of Network Functions Virtualisation (NFV) and edge computing technologies and mechanisms provides a wide range of novel opportunities for added-value service provisioning covering different features required in future access networks, such as Quality of Service (QoS), security, multi-tenancy, and low-latency. This chapter provides an overview of edge computing technologies, from supporting heterogeneous infrastructure up to service provisioning methodologies related to the application-specific requirements. It describes the role of edge computing and NFV in future 5G mobile networks. It also provides an insight into how edge computing can potentially facilitate and expedite provisioning of security in 5G networks. The manuscript analyses the role of the networking resources in edge computing-based provisioning, where the demands of 5G mobile networks are to be met with wireless networking technologies, which in essence are different to wired technologies present in core data centres. Initial results obtained from the evaluations of wireless fog networking backhauls are presented and the challenges ahead of the actual implementation of those technologies are also analysed in the chapter.
5G technologies are a new paradigm strongly supported by the European Commission (EC) to overcome the challenges of next generation networks and aiming to tackle the novel and manifold business requirements of vertical sectors such as Industry 4.0, Smart Grids, Smart Cities, and eHealth. Extraordinarily high speeds and capacity, multi-tenancy, fixed and wireless access network convergence, self-X, unconventional resource virtualisation, on-demand service-oriented resource allocation and automated management of resources are only few examples of the complex demands that 5G aims to undertake. The accommodation of such features requires multipronged efforts in different network technology domains at various levels. In this paper, we investigate how the relative 5G network features challenge the current generation of access networks, both fixed and wireless, and data centres, from an end-to-end network service point of view. Furthermore, we provide some insights into how emerging technologies such as Network Function Virtualisation (NFV) and Software Defined Networks (SDN) can be utilized for the accommodation of the above mentioned features and realization of 5G networks. 1. INTRODUCTION The 5G promise of a complete networked society with unlimited access to information about anything for anyone demands key features beyond what the current 4G offers. Some of these features include support for new type of large number of devices, for very high mobile traffic volumes, integration of heterogeneous access technologies, ubiquitous access for users, much higher frequency reuse in wireless technologies, end-to-end network security, automated provisioning, configuration and management of a wide range of new network services, extreme reliability, ultra-low latency and high volume DC interconnects, etc. [1]. To deliver a viable solution meeting all 5G requirements, a substantial change on the network paradigm is inevitable. One of the main pillars of such revolution is the way that new network functions are entered to the value chain. Traditionally, such a process demands deployment of specialized devices with 'hard-wired' functionalities. It implies that any adaptation to the ever increasing and heterogeneous market requirements demands a huge investment to change/deploy hardware. Thanks to the advent of cloud computing, Software Defined Networking (SDN) and Network Function Virtualisation (NFV), the idea of having general-purpose computing and storage assets at networks has been realized along with the virtualization of networks and network functions which enables the automation of network service provisioning and management. Given the virtualization of networks and network functions, the 5G features of multi-tenancy and end-to-end security becomes even more challenging. In terms of multi-tenancy, the challenge remain how the isolation among different tenants, utilizing virtual networks on top of possibly the same physical infrastructure, can be ensured at all levels. For ensuring end-to-end security in 5G networks, a holistic approach is required which takes into account not only the physical but also the virtual resources of the network. These challenges require a substantial change on the network devices, from being only network equipment to cloud-enabled devices enhanced with, e.g., novel processor architectures. Besides, a fundamental change on the data centre (DC) infrastructures is essential to meet the needs of future Internet and 5G application. On the IT part of DCs, the number of virtual machines (VMs) created by different server virtualisation technologies has been increasing, and it will double over the next few years [2]. Therefore, it is critical to have an intelligent DC management system to better utilize available resources to accommodate instantiated VMs. Moreover, DC networks with the traditional tree-like architectures are reaching their limits and cannot efficiently cope with the requirements of emerging 5G applications in terms of latency and energy efficiency. This pose a serious challenge on the DC operators to revisit the networks architecture and develop appropriate technologies with low power consumption, low latency and high level of flexibility, at relatively low costs. In this paper, among all abovementioned 5G requirements, we will focus on how an end-to-end security and multi-tenancy solution can be envisioned for 5G networks as well as future DC networks in line with the 5G needs.
Roberto Riggio
added 2 research items
Network Function Virtualization (NFV) sits firmly on the networking evolutionary path. By migrating network functions from dedicated devices to general purpose computing platforms, NFV can help reducing the cost to deploy and operate large IT infrastructures. In particular NFV is expected to play a pivotal role in mobile networks where significant cost reductions can obtained by dynamically deploying and scaling Virtual Network Functions (VNFs) in the core and access segments. However, in order to achieve its full potential, NFV needs to extend its reach also the radio access network segment. Here Mobile Virtual Network Operators shall be allowed to request radio access VNFs with custom resource allocation solutions. Such requirement raises several challenges in terms of performance isolation and resource provisioning. In this work, we formalize the wireless VNF placement problem as an integer linear programming problem and we propose a VNF Placement heuristic named WiNE (Wireless Network Embedding) to solve the problem. Moreover, we also present a proof–of–concept implementation of an NFV management and orchestration framework for enterprise WLANs. The proposed architecture builds upon a programmable network fabric where pure forwarding nodes are mixed with radio and packet processing capable nodes.
Network Function Virtualization is set to disrupt the current networking ecosystem by moving vertically--integrated in--network traffic processing functions to virtual machines running on general purpose and inexpensive hardware platforms. In this work we present {\scylla} a framework for orchestrating Virtual Network Functions based on a high--level declarative language which allows programmers to implement custom packet processing functions and to steer traffic trough them in a specific order. We also introduce a set of programming abstractions modeling the fundamental aspects of Virtual Network Function composition. Finally, we present a proof--of--concept controller and a Python--based SDK exposing the proposed abstractions. Results show that our prototype can be used to implement resource allocation and VNF placement tasks in response to different service and applications' goals and requirements.
Pouria Sayyad Khodashenas
added a research item
The Cloud Enabled Small Cell (CESC) concept proposed in EU funded project SESAME has emerged as a promising solution to form a multi-tenant, multi-service architecture at the network edge according to 5G needs. It allows several operators/service providers to engage in a sharing model of both radio access capacity and Mobile Edge Computing (MEC) capabilities. From a business perspective, the shared ecosystem guarantees benefits such as easy system upgrades and CAPEX/OPEX reduction. However, depending on the adapted model which is reflected at Service Level Agreement (SLA) between involved stakeholders, cost and benefit of each party are subject to change. This paper is an effort to identify and analyse different radio and cloud models and pricing schemes for the joint provisioning of radio access capacity and MEC services in a multi-tenant Radio Access Network (RAN).
Pouria Sayyad Khodashenas
added a project goal
SESAME (H2020 5GPPP) targets innovations around three central elements in 5G: the placement of network intelligence and applications in the network edge through Network Functions Virtualisation (NFV) and Edge Cloud Computing; the substantial evolution of the Small Cell concept, already mainstream in 4G but expected to deliver its full potential in the challenging high dense 5G scenarios; and the consolidation of multi-tenancy in communications infrastructures, allowing several operators/service providers to engage in new sharing models of both access capacity and edge computing capabilities.