scholarly journals Sustainable cloud computing for cognitive intent based networks

2021 ◽  
Vol 39 (4) ◽  
pp. 1169-1182
Author(s):  
A.A. Periola ◽  
E. Obayiuwana
Keyword(s):  
Mobility Management ◽  
Data Centers ◽  
Operating Costs ◽  
Low Latency ◽  
Control Packet ◽  
Lte Advanced ◽  
Network Simulations ◽  
Data Centres ◽  
Configuration Information ◽  
Control Packets

Intent based networks enable auto-configuration and require low latency access to cloud platforms. The use of cloud platforms incurs high operational costs. Low latency access can be realized by siting data centres close to subscribers. This paper proposes aquaria data centers with low operating costs and latency. In LTE, cloud platforms are normally accessed via the packet network gateway reachable via the serving gateway and mobility management entity. Aquaria data centers are sited close to LTE subscribers and accessed via the mobility management entity. This reduces the size of control packets in the LTE network. Simulations show that the proposed architecture reduces the size of control packets by up to 49.7% and 99.3% when header packets are uncompressed and compressed respectively. The delay associated with receiving configuration information is reduced by 50% on average. The channelcapacity is enhanced by up to 22.8% on average. Keywords: Data centers, LTE-Advanced, Peak Age of Information, Channel Capacity, Header (Control) Packet

A High-Radix, Low-Latency Optical Switch for Data Centers

2015 ◽  
Author(s):  
Dan Alistarh ◽  
Hitesh Ballani ◽  
Paolo Costa ◽  
Adam Funnell ◽  
Joshua Benjamin ◽  
...  
Keyword(s):  
Data Centers ◽  
Optical Switch ◽  
Low Latency ◽  
High Radix

Fulcrum's FocalPoint FM4000: A Scalable, Low-Latency 10GigE Switch for High-Performance Data Centers

2009 ◽  
Author(s):  
Uri Cummings ◽  
Dan Daly ◽  
Rebecca Collins ◽  
Virat Agarwal ◽  
Fabrizio Petrini ◽  
...  
Keyword(s):  
High Performance ◽  
Data Centers ◽  
Performance Data ◽  
Low Latency

scholarly journals MCF-SMF Hybrid Low-Latency Circuit-Switched Optical Network for Disaggregated Data Centers

2019 ◽  
Vol 37 (16) ◽  
pp. 4017-4029 ◽  
Author(s):  
Arsalan Saljoghei ◽  
Hui Yuan ◽  
Vaibhawa Mishra ◽  
Michael Enrico ◽  
Nick Parsons ◽  
...  
Keyword(s):  
Data Centers ◽  
Optical Network ◽  
Low Latency ◽  
Disaggregated Data

scholarly journals A Co-Design-Based Reliable Low-Latency and Energy-Efficient Transmission Protocol for UWSNs

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6370
Author(s):  
Xiaohui Wei ◽  
Hao Guo ◽  
Xingwang Wang ◽  
Xiaonan Wang ◽  
Chu Wang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Low Latency ◽  
Media Access Control ◽  
Transmission Protocol ◽  
Underwater Wireless Sensor Networks ◽  
Efficient Transmission ◽  
Control Packets

Recently, underwater wireless sensor networks (UWSNs) have been considered as a powerful technique for many applications. However, acoustic communications in UWSNs bring in huge QoS issues for time-critical applications. Additionally, excessive control packets and multiple copies during the data transmission process exacerbate this challenge. Faced with these problems, we propose a reliable low-latency and energy-efficient transmission protocol for dense 3D underwater wireless sensor networks to improve the QoS of UWSNs. The proposed protocol exploits fewer control packets and reduces data-packet copies effectively through the co-design of routing and media access control (MAC) protocols. The co-design method is divided into two steps. First, the number of handshakes in the MAC process will be greatly reduced via our forwarding-set routing strategy under the guarantee of reliability. Second, with the help of information from the MAC process, network-update messages can be used to replace control packages through mobility prediction when choosing a route. Simulation results show that the proposed protocol has a considerably higher reliability, and lower latency and energy consumption in comparison with existing transmission protocols for a dense underwater wireless sensor network.

scholarly journals The cloud of geographically distributed data centers

2019 ◽  
Vol 214 ◽  
pp. 07007
Author(s):  
Petr Fedchenkov ◽  
Andrey Shevel ◽  
Sergey Khoruzhnikov ◽  
Oleg Sadov ◽  
Oleg Lazo ◽  
...  
Keyword(s):  
Data Storage ◽  
Data Centers ◽  
Virtual Machines ◽  
Data Transfer ◽  
Service Availability ◽  
Distributed Data ◽  
Virtual Storage ◽  
Distribution Services ◽  
Geographically Distributed ◽  
Data Centres

ITMO University (ifmo.ru) is developing the cloud of geographically distributed data centres. The geographically distributed means data centres (DC) located in different places far from each other by hundreds or thousands of kilometres. Usage of the geographically distributed data centres promises a number of advantages for end users such as opportunity to add additional DC and service availability through redundancy and geographical distribution. Services like data transfer, computing, and data storage are provided to users in the form of virtual objects including virtual machines, virtual storage, virtual data transfer link.

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