scholarly journals Toward lower-diameter large-scale HPC and data center networks with co-packaged optics

2020 ◽  
Vol 13 (1) ◽  
pp. A67
Author(s):  
Pavlos Maniotis ◽  
Laurent Schares ◽  
Benjamin G. Lee ◽  
Marc A. Taubenblatt ◽  
Daniel M. Kuchta
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Data Center Networks

scholarly journals HTPC: heterogeneous traffic-aware partition coding for random packet spraying in data center networks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiawei Huang ◽  
Shiqi Wang ◽  
Shuping Li ◽  
Shaojun Zou ◽  
Jinbin Hu ◽  
...  
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Network Performance ◽  
Rooted Tree ◽  
Heterogeneous Traffic ◽  
Data Center Networks ◽  
Packet Reordering ◽  
Traffic Characteristics ◽  
Network Utilization ◽  
The Impact

AbstractModern data center networks typically adopt multi-rooted tree topologies such leaf-spine and fat-tree to provide high bisection bandwidth. Load balancing is critical to achieve low latency and high throughput. Although the per-packet schemes such as Random Packet Spraying (RPS) can achieve high network utilization and near-optimal tail latency in symmetric topologies, they are prone to cause significant packet reordering and degrade the network performance. Moreover, some coding-based schemes are proposed to alleviate the problem of packet reordering and loss. Unfortunately, these schemes ignore the traffic characteristics of data center network and cannot achieve good network performance. In this paper, we propose a Heterogeneous Traffic-aware Partition Coding named HTPC to eliminate the impact of packet reordering and improve the performance of short and long flows. HTPC smoothly adjusts the number of redundant packets based on the multi-path congestion information and the traffic characteristics so that the tailing probability of short flows and the timeout probability of long flows can be reduced. Through a series of large-scale NS2 simulations, we demonstrate that HTPC reduces average flow completion time by up to 60% compared with the state-of-the-art mechanisms.

Scalable Data Center Networks for Future Large-Scale Cloud Applications

2014 ◽  
Author(s):  
Jie Xiao ◽  
Yanli Zhang ◽  
Yun Shi ◽  
Changde Li ◽  
Bin Wu ◽  
...  
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Data Center Networks ◽  
Cloud Applications

scholarly journals Free Space Intra-Datacenter Interconnects Based on 2D Optical Beam Steering Enabled by Photonic Integrated Circuits

Photonics ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 21 ◽  
Author(s):  
Charidimos Chaintoutis ◽  
Behnam Shariati ◽  
Adonis Bogris ◽  
Paul Dijk ◽  
Chris Roeloffzen ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Integrated Circuit ◽  
Data Center ◽  
Free Space ◽  
Large Scale ◽  
Beam Steering ◽  
Optical Beam ◽  
Switching Network ◽  
Free Space Optical ◽  
Data Center Networks

Data centers are continuously growing in scale and can contain more than one million servers spreading across thousands of racks; requiring a large-scale switching network to provide broadband and reconfigurable interconnections of low latency. Traditional data center network architectures, through the use of electrical packet switches in a multi-tier topology, has fundamental weaknesses such as oversubscription and cabling complexity. Wireless intra-data center interconnection solutions have been proposed to deal with the cabling problem and can simultaneously address the over-provisioning problem by offering efficient topology re-configurability. In this work we introduce a novel free space optical interconnect solution for intra-data center networks that utilizes 2D optical beam steering for the transmitter, and high bandwidth wide-area photodiode arrays for the receiver. This new breed of free space optical interconnects can be developed on a photonic integrated circuit; offering ns switching at sub-μW consumption. The proposed interconnects together with a networking architecture that is suitable for utilizing those devices could support next generation intra-data center networks, fulfilling the requirements of seamless operation, high connectivity, and agility in terms of the reconfiguration time.

scholarly journals Distributed Power Saving for Large-Scale Software-Defined Data Center Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 5897-5909 ◽  
Author(s):  
Kun Xie ◽  
Xiaohong Huang ◽  
Shuai Hao ◽  
Maode Ma
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Power Saving ◽  
Data Center Networks ◽  
Distributed Power
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