Problem Statement: Overlays for Network Virtualization (RFC7364)
Original Publication Date: 2014-Oct-01
Included in the Prior Art Database: 2014-Oct-11
Internet Society Requests For Comment (RFCs)
T. Narten: AUTHOR [+8]
Data centers are increasingly being consolidated and outsourced in an effort to improve the deployment time of applications and reduce operational costs. This coincides with an increasing demand for compute, storage, and network resources from applications. In order to scale compute, storage, and network resources, physical resources are being abstracted from their logical representation, in what is referred to as server, storage, and network virtualization. Virtualization can be implemented in various layers of computer systems or networks.
Internet Engineering Task Force (IETF) T. Narten, Ed. Request for Comments: 7364 IBM Category: Informational E. Gray, Ed. ISSN: 2070-1721 Ericsson D. Black EMC L. Fang Microsoft L. Kreeger Cisco M. Napierala AT&T October 2014
Problem Statement: Overlays for Network Virtualization
This document describes issues associated with providing multi-
tenancy in large data center networks and how these issues may be
addressed using an overlay-based network virtualization approach. A
key multi-tenancy requirement is traffic isolation so that one
tenant's traffic is not visible to any other tenant. Another
requirement is address space isolation so that different tenants can
use the same address space within different virtual networks.
Traffic and address space isolation is achieved by assigning one or
more virtual networks to each tenant, where traffic within a virtual
network can only cross into another virtual network in a controlled
fashion (e.g., via a configured router and/or a security gateway).
Additional functionality is required to provision virtual networks,
associating a virtual machine's network interface(s) with the
appropriate virtual network and maintaining that association as the
virtual machine is activated, migrated, and/or deactivated. Use of
an overlay-based approach enables scalable deployment on large
Narten, et al. Informational ...