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Other than merely a bandwidth pipe, current and future network applications will have other requirements such as maximum end-to-end latency and the type of recovery from failure. The added complexity will require a central intelligence such as a software-defined networking (SDN) orchestrator to compute and keep track of the resources allocated to such applications. In such an SDN-orchestrated network,...
The forecasted traffic growth makes the transmission capacity in backbone optical networks a scarce resource. Enabling the use of high-spectral-efficiency modulation formats (HSE-MFs) such as DQPSK or PM-QPSK for 40 or 100 Gbps respectively is one of the suggested on-going researches. However, some lightpaths may not require the highest rate and this call for mixed-line rate (MLR) networks. In MLR...
The Abstraction and Control of Traffic Engineered Networks (ACTN) defines the requirements, use cases, and an SDN-based architecture, relying on the concepts of network and service abstraction, detaching the network and service control from the underlying data plane. The architecture encompasses Physical Network Controllers (PNCs), responsible for specific technology and administrative domains, orchestrated...
Abstraction and Control of TE Networks (ACTN) refers to the set of virtual network operations needed to operate, control and manage large-scale multi-domain, multi-layer and multi-vendor TE networks, so as to facilitate network programmability, automation, efficient resource sharing. This paper provides scalable telemetry streaming mechanisms that describe Key Performance Indicator (KPI) telemetry...
Aiming at satisfying in a cost-effective manner the forecast traffic growth that future mobile networks will need to support, traditional distributed Radio Access Networks (RANs) are evolving towards centralized architectures. Specifically, the Cloud-RAN (C-RAN) architecture has shown that can alleviate to some extent the ever increasing Total Cost of Ownership in mobile networks. The current trend...
This work is focused on the characterization of the traffic allocated in Elastic Optical backbone networks when different dynamic traffic profiles are generated. Extensive simulations are done to statistically model the real-time traffic carried by this kind of networks. Well known topologies such as NSFNet and US_Backbone are considered as well as different parameters applied to the traffic generation...
This paper proposes a new networking paradigm introducing the broker-plane above the management planes of Autonomous Systems (ASes). The brokers communicate with the manager of each AS to coordinate end-to-end resource management and path provisioning across the multi-AS networks involving multiple operators. The broker plane updates the virtual network topology, manages the resource information of...
Enterprise Networking (EN) services are source of high revenues for carriers. However, the traditional way of providing and selling those to enterprise and business customers is ossified and unsatisfactory for users. High prices, static connections and slow time to provision, make enterprise users doubtful about whether guaranteed connectivity is worth the price and push them to look for alternative...
Multi-path allocation has been proposed as a simple way to achieve traffic protection in different networking domains. In this work dual-path allocation is proposed for Elastic Optical Networks (EON) assuming dynamic offered traffic, and its performance is quantified by simulation. Indeed, dual-path allocation is compared with partial dedicated path protection assuming different scenarios. In addition...
The energy efficiency in telecommunication networks is gaining more relevance with the actual increasing traffic demand. In this paper, we compare the performance in terms of energy efficiency and blocking rate in elastic optical network (EON) for the NSFNET and USA topologies, by adopting three modulations formats: Binary Phase-Shift Keying (BPSK), Quadrature Phase-Shift Keying (QPSK) and Quadrature...
We review the statistical network assessment process (SNAP) and apply it to the analysis of two different network topologies. Using SNAP, we identify topological bottlenecks and we test the effectiveness of physical layer solutions in unlocking them. We show how selected introduction of spatial division multiplexing (SDM) through fiber doubling enables to achieving a 63% and 12% capacity increase...
This paper aims to quantitatively measure the impact of different data centers networking topologies on the performance and energy efficiency of shuffling operations in MapReduce. Mixed Integer Linear Programming (MILP) models are utilized to optimize the shuffling in several data center topologies with electronic, hybrid, and all-optical switching while maximizing the throughput and reducing the...
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