This paper presents a scalable and energy-efficient flexible-bandwidth optical interconnect architecture for data center networks. The proposed approach leverages silicon photonic reconfigurable all-to-all switch fabrics and a cognitive distributed control plane for optical reconfiguration
Interconnection networks within modern data centers suffer from bandwidth and scalability limitation...
Fast and high capacity optical switching techniques have the potential to enable low latency and hig...
Fast and high capacity optical switching techniques have the potential to enable low latency and hig...
We present an overview of the application of machine learning for traffic engineering and network op...
Flexible networking is a challenge to design future Internet scenarios and service convergence. The...
This paper summarizes our recent studies on architecture, photonic integration, system validation a...
We experimentally demonstrate the first all-to-all optical interconnects with bandwidth steering usi...
Optical switching techniques featuring the fast and large capacity have the potential to enable low ...
With the immense growth of data consumption in today's data centers and high-performance computing s...
Attributing to the increasing adoption of cloud services, video services and associated machine lear...
The accelerated growth in performance of microprocessors and the emergence of chip multiprocessors, ...
The explosive growth of the data traffic in today's high performance computing (HPC) and datacenter ...
This paper proposes a machine-learning (ML)-aided cognitive approach for effective bandwidth reconfi...
In light of the rapidly increasing demand for ultra-high speed data transmission, data centres are u...
The current data center architectures based on blade servers and elec- tronic packet switches face s...
Interconnection networks within modern data centers suffer from bandwidth and scalability limitation...
Fast and high capacity optical switching techniques have the potential to enable low latency and hig...
Fast and high capacity optical switching techniques have the potential to enable low latency and hig...
We present an overview of the application of machine learning for traffic engineering and network op...
Flexible networking is a challenge to design future Internet scenarios and service convergence. The...
This paper summarizes our recent studies on architecture, photonic integration, system validation a...
We experimentally demonstrate the first all-to-all optical interconnects with bandwidth steering usi...
Optical switching techniques featuring the fast and large capacity have the potential to enable low ...
With the immense growth of data consumption in today's data centers and high-performance computing s...
Attributing to the increasing adoption of cloud services, video services and associated machine lear...
The accelerated growth in performance of microprocessors and the emergence of chip multiprocessors, ...
The explosive growth of the data traffic in today's high performance computing (HPC) and datacenter ...
This paper proposes a machine-learning (ML)-aided cognitive approach for effective bandwidth reconfi...
In light of the rapidly increasing demand for ultra-high speed data transmission, data centres are u...
The current data center architectures based on blade servers and elec- tronic packet switches face s...
Interconnection networks within modern data centers suffer from bandwidth and scalability limitation...
Fast and high capacity optical switching techniques have the potential to enable low latency and hig...
Fast and high capacity optical switching techniques have the potential to enable low latency and hig...