Internet-Draft Mobility and virtualization July 2022
Bernardos & Mourad Expires 12 January 2023 [Page]
Workgroup:
DMM
Internet-Draft:
draft-bernardos-dmm-mobility-virtualization-00
Published:
Intended Status:
Informational
Expires:
Authors:
CJ. Bernardos
UC3M
A. Mourad
InterDigital

Mobility challenges in virtualization environments

Abstract

Mobility is no longer restricted to physical end systems roaming among radio points of attachment. Current mobile network deployments do not only consider the traditional client-server model, but also include scenarios in which services are decomposed into functions that run on virtualized resources, thus becoming virtual functions. This opens the door for new scenarios in which mobility now includes: (i) the end-system mobility (traditional scenario), (ii) a physical resource hosting a virtual function (part of a service being consumed by a end-system) moving, and (iii) a virtual function part of a service moving (migrating) to a different physical resource. As these scenarios are expected to be more commonly deployed in the short future, this documents aims at presenting the new mobility-related scenarios and the potential gaps in terms of IETF protocols.

Status of This Memo

This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.

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This Internet-Draft will expire on 12 January 2023.

Table of Contents

1. Introduction and Problem Statement

Virtualization of functions provides operators with tools to deploy new services much faster, as compared to the traditional use of monolithic and tightly integrated dedicated machinery. As a natural next step, mobile network operators need to re-think how to evolve their existing network infrastructures and how to deploy new ones to address the challenges posed by the increasing customers' demands, as well as by the huge competition among operators. All these changes are triggering the need for a modification in the way operators and infrastructure providers operate their networks, as they need to significantly reduce the costs incurred in deploying a new service and operating it. Some of the mechanisms that are being considered and already adopted by operators include: sharing of network infrastructure to reduce costs, virtualization of core servers running in data centers as a way of supporting their load-aware elastic dimensioning, and dynamic energy policies to reduce the monthly electricity bill. However, this has proved to be tough to put in practice, and not enough. Indeed, it is not easy to deploy new mechanisms in a running operational network due to the high dependency on proprietary (and sometime obscure) protocols and interfaces, which are complex to manage and often require configuring multiple devices in a decentralized way.

Service Functions are widely deployed and essential in many networks. These Service Functions provide a range of features such as security, WAN acceleration, and server load balancing. Service Functions may be instantiated at different points in the network infrastructure such as data center, the WAN, the RAN, and even on mobile nodes.

Service functions (SFs), also referred to as VNFs, or just functions, are hosted on compute, storage and networking resources. The hosting environment of a function is called Service Function Provider or NFVI-PoP (using ETSI NFV terminology).

Services are typically formed as a composition of SFs (VNFs), with each SF providing a specific function of the whole service. Services also referred to as Network Services (NS), according to ETSI terminology.

With the arrival of virtualization, the deployment model for service function is evolving to one where the traffic is steered through the functions wherever they are deployed (functions do not need to be deployed in the traffic path anymore). For a given service, the abstracted view of the required service functions and the order in which they are to be applied is called a Service Function Chain (SFC). An SFC is instantiated through selection of specific service function instances on specific network nodes to form a service graph: this is called a Service Function Path (SFP). The service functions may be applied at any layer within the network protocol stack (network layer, transport layer, application layer, etc.).

The concept of fog computing has emerged driven by the Internet of Things (IoT) due to the need of handling the data generated from the end-user devices. The term fog is referred to any networked computational resource in the continuum between things and cloud. A fog node may therefore be an infrastructure network node such as an eNodeB or gNodeB, an edge server, a customer premises equipment (CPE), or even a user equipment (UE) terminal node such as a laptop, a smartphone, or a computing unit on-board a vehicle, robot or drone.

In fog computing, the functions composing an SFC are hosted on resources that are inherently heterogeneous, volatile and mobile [I-D.bernardos-sfc-fog-ran]. This means that resources might appear and disappear, and the connectivity characteristics between these resources may also change dynamically.

Taking all the above into account, mobility is no longer restricted to physical end systems roaming among radio points of attachment. Current mobile network deployments do not only consider the traditional client-server model, but also include scenarios in which services are decomposed into functions that run on virtualized resources, thus becoming virtual functions. This opens the door for new scenarios in which mobility now includes: (i) the end-system mobility (traditional scenario), (ii) a physical resource hosting a virtual function (part of a service being consumed by a end-system) moving, and (iii) a virtual function part of a service moving (migrating) to a different physical resource.

The aforementioned scenarios can be represented in Figure 1, where: (i) a UE can roam between PoA1 and PoA2; (ii) a physical resource, part of a SFC (denoted a SFCx) can move while hosting a virtual function part of a running service consumed by the UE; and, (iii) a virtual function vnf2 can move from a node (SFC2) to another one (SFC3).

+----+        +------+
| UE |))))))))| PoA1 +\   +-------+       +-------+      _------_
+----+        +------+ \  | SFC1  |       | SFC2  |    _(        )_
                        ==+       +-o)))o-+       +---(  Internet  )
              +------+ /  |  vnf1 |       |  vnf2 |    (_        _)
              | PoA2 +/   +-------+       +-------+      (______)
              +------+         \           /
                                \         /
                              +-------+  /
                              | SFC3  | /
                              |       |/
                              | *vnf2 |
                              +-------+
Figure 1: Mobility scenarios in an virtualized SFC-enabled environment

2. End system mobility

This is the "classical" scenario in which a UE roams from one point of attachment to another one. While this have been studied extensively and multiple solutions are standardized, covering both client-based host [RFC6275] and network [RFC3963] mobility, and network-based [RFC5213], these solutions were designed assuming scenarios where the end-system device was communicating with a server (a correspondent node, CN) that was in general static and/or running in a physical server. Current, virtualization and SFC enabled environment add new challenges to be considered, such as:

Current solutions do not account for all these new variables, and therefore might be subject of new work at the IETF and/or other SDOs such as IEEE, 3GPP and ETSI.

3. Resource mobility

This is a "new" mobility scenario, in which the moving entity is not the end-system, but a physical resource hosting one (or several) virtual network functions part of a service consumed by the end-system. This adds new challenges to cope with, such as:

Current solutions do not account for all these new variables, and therefore might be subject of new work at the IETF and/or other SDOs such as IEEE, 3GPP and ETSI.

4. Virtual function mobility

This is also a "new" mobility scenario, though some limited work has been at least discussed in the NVO3 WG in the past. In this case, what is moving is a virtual function instance, from one resource (server) to another. This adds new challenges to cope with, such as:

Current solutions do not account for all these new variables, and therefore might be subject of new work at the IETF and/or other SDOs such as IEEE, 3GPP and ETSI.

5. Requirements for IETF work

TBD.

6. IANA Considerations

TBD.

7. Security Considerations

TBD.

8. Acknowledgments

This work has been partially supported by the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU through the UNICO 5G I+D 6G-DATADRIVEN.

9. Informative References

[I-D.bernardos-sfc-fog-ran]
Bernardos, C. J. and A. Mourad, "Service Function Chaining Use Cases in Fog RAN", Work in Progress, Internet-Draft, draft-bernardos-sfc-fog-ran-10, , <https://datatracker.ietf.org/doc/html/draft-bernardos-sfc-fog-ran-10>.
[RFC3963]
Devarapalli, V., Wakikawa, R., Petrescu, A., and P. Thubert, "Network Mobility (NEMO) Basic Support Protocol", RFC 3963, DOI 10.17487/RFC3963, , <https://www.rfc-editor.org/info/rfc3963>.
[RFC5213]
Gundavelli, S., Ed., Leung, K., Devarapalli, V., Chowdhury, K., and B. Patil, "Proxy Mobile IPv6", RFC 5213, DOI 10.17487/RFC5213, , <https://www.rfc-editor.org/info/rfc5213>.
[RFC6275]
Perkins, C., Ed., Johnson, D., and J. Arkko, "Mobility Support in IPv6", RFC 6275, DOI 10.17487/RFC6275, , <https://www.rfc-editor.org/info/rfc6275>.

Authors' Addresses

Carlos J. Bernardos
Universidad Carlos III de Madrid
Av. Universidad, 30
28911 Leganes, Madrid
Spain
Alain Mourad
InterDigital Europe