The Experts below are selected from a list of 13623 Experts worldwide ranked by ideXlab platform
Nicola Calabretta - One of the best experts on this subject based on the ideXlab platform.
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Performance assessment of a fast optical add-drop multiplexer-based metro access network with edge computing
IEEE OSA Journal of Optical Communications and Networking, 2019Co-Authors: Bitao Pan, Fulong Yan, Xuwei Xue, Eduardo Magelhaes, Nicola CalabrettaAbstract:Next-generation metro access nodes with edge computing need to be redesigned to co-allocate advanced optical technologies, computing, and storage resources to support the upcoming multiple applications in 5G. In this paper, we present a novel metro access edge computing node based on a fast optical add-drop multiplexer with submicrosecond reconfiguration and control for low-Latency Operation. We investigate the network performance, the location of the edge computing nodes, and the computing resources dimensioning and utilization in order to fulfill the stringent Latency requirement in 5G networks. Network function virtualization and network slicing have been considered in the model to emulate the realistic network Operation. Optimization of the network, node location, and computing resources in terms of Latency and packet loss ratio is numerically investigated via the OMNeT++ simulator under three different types of 5G applications (Massive Internet of Things, content delivery network, and loss-sensitive traffic). Considering a typical metro access network topology with 20 nodes covering a population of around 1 million, numerical results show that less than 200 μs Latency is guaranteed for 5G network applications by deploying more than 6 edge computing nodes with 80 servers for each node.
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novel flat datacenter network architecture based on scalable and flow controlled optical switch system
Optics Express, 2014Co-Authors: Wang W Miao, Stefano Di Lucente, Hjs Harm Dorren, Nicola CalabrettaAbstract:We propose and demonstrate an optical flat datacenter network based on scalable optical switch system with optical flow control. Modular structure with distributed control results in port-count independent optical switch reconfiguration time. RF tone in-band labeling technique allowing parallel processing of the label bits ensures the low Latency Operation regardless of the switch port-count. Hardware flow control is conducted at optical level by re-using the label wavelength without occupying extra bandwidth, space, and network resources which further improves the performance of Latency within a simple structure. Dynamic switching including multicasting Operation is validated for a 4x4 system. Error free Operation of 40 Gb/s data packets has been achieved with only 1 dB penalty. The system could handle an input load up to 0.5 providing a packet loss lower that 10−5 and an average Latency less that 500ns when a buffer size of 16 packets is employed. Investigation on scalability also indicates that the proposed system could potentially scale up to large port count with limited power penalty.
Bitao Pan - One of the best experts on this subject based on the ideXlab platform.
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Performance assessment of a fast optical add-drop multiplexer-based metro access network with edge computing
IEEE OSA Journal of Optical Communications and Networking, 2019Co-Authors: Bitao Pan, Fulong Yan, Xuwei Xue, Eduardo Magelhaes, Nicola CalabrettaAbstract:Next-generation metro access nodes with edge computing need to be redesigned to co-allocate advanced optical technologies, computing, and storage resources to support the upcoming multiple applications in 5G. In this paper, we present a novel metro access edge computing node based on a fast optical add-drop multiplexer with submicrosecond reconfiguration and control for low-Latency Operation. We investigate the network performance, the location of the edge computing nodes, and the computing resources dimensioning and utilization in order to fulfill the stringent Latency requirement in 5G networks. Network function virtualization and network slicing have been considered in the model to emulate the realistic network Operation. Optimization of the network, node location, and computing resources in terms of Latency and packet loss ratio is numerically investigated via the OMNeT++ simulator under three different types of 5G applications (Massive Internet of Things, content delivery network, and loss-sensitive traffic). Considering a typical metro access network topology with 20 nodes covering a population of around 1 million, numerical results show that less than 200 μs Latency is guaranteed for 5G network applications by deploying more than 6 edge computing nodes with 80 servers for each node.
Fulong Yan - One of the best experts on this subject based on the ideXlab platform.
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Performance assessment of a fast optical add-drop multiplexer-based metro access network with edge computing
IEEE OSA Journal of Optical Communications and Networking, 2019Co-Authors: Bitao Pan, Fulong Yan, Xuwei Xue, Eduardo Magelhaes, Nicola CalabrettaAbstract:Next-generation metro access nodes with edge computing need to be redesigned to co-allocate advanced optical technologies, computing, and storage resources to support the upcoming multiple applications in 5G. In this paper, we present a novel metro access edge computing node based on a fast optical add-drop multiplexer with submicrosecond reconfiguration and control for low-Latency Operation. We investigate the network performance, the location of the edge computing nodes, and the computing resources dimensioning and utilization in order to fulfill the stringent Latency requirement in 5G networks. Network function virtualization and network slicing have been considered in the model to emulate the realistic network Operation. Optimization of the network, node location, and computing resources in terms of Latency and packet loss ratio is numerically investigated via the OMNeT++ simulator under three different types of 5G applications (Massive Internet of Things, content delivery network, and loss-sensitive traffic). Considering a typical metro access network topology with 20 nodes covering a population of around 1 million, numerical results show that less than 200 μs Latency is guaranteed for 5G network applications by deploying more than 6 edge computing nodes with 80 servers for each node.
Xuwei Xue - One of the best experts on this subject based on the ideXlab platform.
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Performance assessment of a fast optical add-drop multiplexer-based metro access network with edge computing
IEEE OSA Journal of Optical Communications and Networking, 2019Co-Authors: Bitao Pan, Fulong Yan, Xuwei Xue, Eduardo Magelhaes, Nicola CalabrettaAbstract:Next-generation metro access nodes with edge computing need to be redesigned to co-allocate advanced optical technologies, computing, and storage resources to support the upcoming multiple applications in 5G. In this paper, we present a novel metro access edge computing node based on a fast optical add-drop multiplexer with submicrosecond reconfiguration and control for low-Latency Operation. We investigate the network performance, the location of the edge computing nodes, and the computing resources dimensioning and utilization in order to fulfill the stringent Latency requirement in 5G networks. Network function virtualization and network slicing have been considered in the model to emulate the realistic network Operation. Optimization of the network, node location, and computing resources in terms of Latency and packet loss ratio is numerically investigated via the OMNeT++ simulator under three different types of 5G applications (Massive Internet of Things, content delivery network, and loss-sensitive traffic). Considering a typical metro access network topology with 20 nodes covering a population of around 1 million, numerical results show that less than 200 μs Latency is guaranteed for 5G network applications by deploying more than 6 edge computing nodes with 80 servers for each node.
Eduardo Magelhaes - One of the best experts on this subject based on the ideXlab platform.
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Performance assessment of a fast optical add-drop multiplexer-based metro access network with edge computing
IEEE OSA Journal of Optical Communications and Networking, 2019Co-Authors: Bitao Pan, Fulong Yan, Xuwei Xue, Eduardo Magelhaes, Nicola CalabrettaAbstract:Next-generation metro access nodes with edge computing need to be redesigned to co-allocate advanced optical technologies, computing, and storage resources to support the upcoming multiple applications in 5G. In this paper, we present a novel metro access edge computing node based on a fast optical add-drop multiplexer with submicrosecond reconfiguration and control for low-Latency Operation. We investigate the network performance, the location of the edge computing nodes, and the computing resources dimensioning and utilization in order to fulfill the stringent Latency requirement in 5G networks. Network function virtualization and network slicing have been considered in the model to emulate the realistic network Operation. Optimization of the network, node location, and computing resources in terms of Latency and packet loss ratio is numerically investigated via the OMNeT++ simulator under three different types of 5G applications (Massive Internet of Things, content delivery network, and loss-sensitive traffic). Considering a typical metro access network topology with 20 nodes covering a population of around 1 million, numerical results show that less than 200 μs Latency is guaranteed for 5G network applications by deploying more than 6 edge computing nodes with 80 servers for each node.
