Network services underpin operator revenues, and value-added services provide income beyond core (voice and data) infrastructure capability. Today, operators face multiple challenges: a need to innovate and offer a wider choice of value-added services, whilst increasing network scale, bandwidth and flexibility. They must also reduce operational costs, and deploy services far faster - in minutes rather than days or weeks. In the recent years, the network community, motivated by the aforementioned challenges, has developed production network architectures and seeded technologies, like Software Defined Networking, Application-based Network Operations and Network Function Virtualization. These technologies enhance the highly desired properties for elasticity, agility and cost-effectiveness in the operator environment. A key requirement to fully exploit the benefits of these new architectures and technologies is a fundamental shift in management and control of resources, and the ability to orchestrate the network infrastructure: coordinate the instantiation of high-level network services across different technological domains and automate service deployment and re-optimization. This paper surveys existing standardization efforts for the orchestration - automation, coordination, and management - of complex set of network and function resources (both physical and virtual), and highlights the various enabling technologies, strengths and weaknesses, adoption challenges for operators, and areas where further research is required

Current transport networks are statically configured and managed, because they experience a rather limited traffic dynamicity. As a result, long planning cycles are used to upgrade the network and prepare it for the next planning period. Aimed at guaranteeing that the network can support the forecast traffic and deal with failure scenarios, spare capacity is usually installed, thus increasing network expenditures. Moreover, results from network capacity planning are manually deployed in the network, which limits the network agility. In this article, we propose a control and management architecture to allow the network to be dynamically operated. Employing those dynamicity capabilities, the network can be reconfigured and reoptimized in response to traffic changes in an automatic fashion; hence, the resource overprovisioning can be minimized and overall network costs reduced.

The Path Computation Element Communication Protocol (PCEP) allows Path Computation Clients (PCCs) to request path computations from Path Computation Elements (PCEs), and lets the PCEs return responses. When computing or reoptimizing the routes of a set of Traffic Engineering Label Switched Paths (TE LSPs) through a network, it may be advantageous to perform bulk path computations in order to avoid blocking problems and to achieve more optimal network-wide solutions. Such bulk optimization is termed Global Concurrent Optimization (GCO). A GCO is able to simultaneously consider the entire topology of the network and the complete set of existing TE LSPs, and their respective constraints, and look to optimize or reoptimize the entire network to satisfy all constraints for all TE LSPs. A GCO may also be applied to some subset of the TE LSPs in a network. The GCO application is primarily a Network Management System (NMS) solution. This document provides application-specific requirements and the PCEP extensions in support of GCO applications.