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Inter-Business Orchestration for Resource and Service Provisioning in 5G Network Slicing
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The progress in realizing the Fifth Generation (5G) mobile networks has been accelerated recently towards deploying 5G prototypes with increasing scale. One of the Key Performance Indicators (KPIs) in 5G deployments is the service deployment time, which should be substantially reduced from the current 90 hours to the target 90 minutes on average as defined by the 5G Public-Private Partnership (5G-PPP). To achieve this challenging KPI, highly automated and coordinated operations are required for the 5G network management. This paper addresses this challenge by designing and prototyping a novel 5G service deployment orchestration architecture that is capable of automating and coordinating a series of complicated operations across physical infrastructure, virtual infrastructure, and service layers over a distributed mobile edge computing paradigm, in an integrated manner. Empirical results demonstrate the superior performance achieved, which meets the 5G-PPP KPI even in the most challenging scenario where 5G services are installed from bare metal.
We present a proof-of-concept demonstration of an SDN/NFV-based orchestrator for sharing infrastructure resources among different tenants. The designed orchestrator maximizes the profit of an infrastructure provider by using a dynamic slicing approach based on big data analytics.
The network slicing paradigm provides the necessary means to allow vertical segments to seamlessly share the same network infrastructure, while delivering the expected service level agreements (SLAs) to their own customers. However, the concurrent access at shared resources and the huge disparity among different verticals' service requirements opens up new technical challenges that must be addressed. With this demonstration , we showcase the benefits that centralized orchestration operations, such as slice brokerage and resources allocation, can bring to tackle these issues. Our testbed, namely OVNES, implements the network slicing paradigm on real network equipment and discloses the novel concept of 5G Network Slice Broker as an entity in charge of mediating between vertical network slice requests and physical network resources availability.
Ultra-dense networks (UDNs) are a natural deployment evolution for handling the tremendous traffic increase related to the emerging 5G services, especially in urban environments. However, the associated infrastructure cost may become prohibitive. The evolving paradigm of network slicing can tackle such a challenge while optimizing the network resource usage, enabling multi-tenancy and facilitating resource sharing and efficient service-oriented communications. Indeed, network slicing in UDN deployments can offer the desired degree of customization in not only vanilla radio access network (RAN) designs, but also in the case of disaggregated multi-service RANs. In this article, we devise a novel multi-service RAN environment, RAN runtime, capable of supporting slice orchestration procedures and enabling flexible customization of slices as per tenant needs. Each network slice can exploit a number of services, which can be either dedicated or shared between multiple slices over a common RAN. The novel architecture we present concentrates on the orchestration and management systems. It interacts with the RAN modules, through the RAN runtime, via a number of new interfaces enabling a customized dedicated orchestration logic for each slice. We present results for a disaggregated UDN deployment where the RAN runtime is used to support slice-based multi-service chain creation and chain placement, with an auto-scaling mechanism to increase the performance.
We demonstrate how a hybrid and hierarchical transport-SDN control plane based on a network orchestrator and an SDN controller can provide dynamic network slicing for enterprise-networking services and mobile metro-core networks.
This paper presents and discuses the underlying infrastructure deployment of a cloud architecture used in our Data Center. This is based on a hybrid Virtual-Physical deployment for the cloud management platform OpenStack, where some of its principal management nodes of the cloud have been virtualized on a physical node. This particular infrastructure deployment opens the cloud to a wide number of new service possibilities with a lower complexity and cost time implementation. In the paper, we show as example of this extension a particular service that allows to perform real time network traffic analysis in the infrastructure.
Software-Defined Networking (SDN) refers to a new approach for network programmability, that is, the capacity to initialize, control, change, and manage network behavior dynamically via open interfaces. SDN emphasizes the role of software in running networks through the introduction of an abstraction for the data forwarding plane and, by doing so, separates it from the control plane. This separation allows faster innovation cycles at both planes as experience has already shown. However, there is increasing confusion as to what exactly SDN is, what the layer structure is in an SDN architecture, and how layers interface with each other. This document, a product of the IRTF Software-Defined Networking Research Group (SDNRG), addresses these questions and provides a concise reference for the SDN research community based on relevant peer-reviewed literature, the RFC series, and relevant documents by other standards organizations.
Multi-Protocol Label Switching (MPLS)" [1] requires a set of procedures for augmenting network layer packets with "label stacks", thereby turning them into "labeled packets". Routers which support MPLS are known as "Label Switching Routers", or "LSRs". In order to transmit a labeled packet on a particular data link, an LSR must support an encoding technique which, given a label stack and a network layer packet, produces a labeled packet. This document specifies the encoding to be used by an LSR in order to transmit labeled packets on Point-to-Point Protocol (PPP) data links, on LAN data links, and possibly on other data links as well. On some data links, the label at the top of the stack may be encoded in a different manner, but the techniques described here MUST be used to encode the remainder of the label stack. This document also specifies rules and procedures for processing the various fields of the label stack encoding.
Knowing the variety of services and applications to be supported in the upcoming 5G systems, the current "one size fits all" network architecture is no more efficient. Indeed, each 5G service may have different needs in terms of latency, bandwidth, and reliability, which cannot be sustained by the same physical network infrastructure. In this context, network virtualization represents a viable way to provide a network slice tailored to each service. Several 5G initiatives (from industry and academia) have been pushing for solutions to enable network slicing in mobile networks, mainly based on SDN, NFV, and cloud computing as key enablers. The proposed architectures focus principally on the process of instantiating and deploying network slices, while ignoring how they are enforced in the mobile network. While several techniques of slicing the network infrastructure exist, slicing the RAN is still challenging. In this article, we propose a new framework to enforce network slices, featuring radio resources abstraction. The proposed framework is complementary to the ongoing solutions of network slicing, and fully compliant with the 3GPP vision. Indeed, our contributions are twofold: a fully programmable network slicing architecture based on the 3GPP DCN and a flexible RAN (i.e., programmable RAN) to enforce network slicing; a two-level MAC scheduler to abstract and share the physical resources among slices. Finally, a proof of concept on RAN slicing has been developed on top of OAI to derive key performance results, focusing on the flexibility and dynamicity of the proposed architecture to share the RAN resources among slices.
The ongoing adoption of Cloud Computing at a fast rate has lead to an increase in the number of users and in the same time, in the level of complexity and performance. The interaction model is based on services offered to users at different levels. Metal-as-a-service (MaaS) platforms assure a higher level of performance when compared to typical Cloud platforms, but at the cost of a more complex provisioning system. An advanced reservation and provisioning system for MaaS should alleviate the problem of added complexity by accounting for the observed deployment time of the infrastructures. The paper studies the provisioning capabilities of the Bigstep Full Metal Cloud platform in order to allow the construction of such a system. The main issue addressed is oriented on cloud management automation, SLA and QoS management.
The challenging and ever increasing requirements of future applications demand new concepts for better control and management of network resources. The Third Generation Partnership Project (3GPP) introduced in their latest specifications the Evolved Packet Core (EPC) architecture for transparently unifying the parameters of different technologies, like the UMTS, WLAN, non-3GPP access technologies and a future Evolved Radio Access Network, called Long Term Evolution (LTE), with the use of multiple application platforms such as IP Multimedia Subsystem (IMS) and the Internet. This paper describes a testbed implementation of the Evolved Packet Core named OpenEPC which provides a reference implementation of 3GPP’s EPC developed by the Fraunhofer Institute FOKUS. OpenEPC is a set of software components offering advanced IP mobility schemes, policy-based QoS control, and integration with different application platforms in converging network environments. This initiative, in addition to fostering research and development, enables academic and industry researchers to rapidly realize state-of-the-art NGMN infrastructures and application testbeds.
Service function chaining (sfc) architecture
- J Halpern
- C Pignataro
Network functions virtualisation (nfv)-management and orchestration
- J Quittek
- P Bauskar
- T Benmeriem
- A Bennett
- M Besson
- A Et
Network functions virtualisation (nfv)-management and orchestration
- quittek