AWGR-based optical processor-to-memory communication for low-latency, low-energy vault accesses

2018 ◽  
Author(s):  
Sebastian Werner ◽  
Pouya Fotouhi ◽  
Roberto Proietti ◽  
S. J. Ben Yoo
Keyword(s):  
Low Energy ◽  
Low Latency ◽  
Optical Processor

Extremely high-capacity, low-energy, and low latency optical networking for future infrastructure

2015 ◽  
Author(s):  
Kiyo Ishii ◽  
Junya Kurumida ◽  
Atsuko Takefusa ◽  
Takayuki Kurosu ◽  
Tomohiro Kudoh ◽  
...  
Keyword(s):  
High Capacity ◽  
Low Energy ◽  
Low Latency ◽  
Optical Networking

Low Energy, Low Latency and High Speed Array Divider Circuit Using a Shannon Theorem Based Adder Cell

2009 ◽  
Vol 3 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Chinnaiyan Senthilpari ◽  
Krishnamoorthy Diwakar ◽  
Ajay Singh
Keyword(s):  
High Speed ◽  
Low Energy ◽  
Low Latency

Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths

2021 ◽  
Author(s):  
Yoshiya Shikama ◽  
Ryuta Kawano ◽  
Hiroki Matsutani ◽  
Hideharu Amano ◽  
Yusuke Nagasaka ◽  
...  
Keyword(s):  
Low Energy ◽  
Low Latency

scholarly journals Task Offloading Strategy of 6G Heterogeneous Edge-Cloud Computing Model considering Mass Customization Mode Collaborative Manufacturing Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Hang Zhou ◽  
Yong Xiang ◽  
Hao-Feng Li ◽  
Rong Yuan
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy System ◽  
Low Energy ◽  
Low Latency ◽  
Computing Services ◽  
Proposed Model ◽  
Cloud Server ◽  
Low Energy Consumption ◽  
Power And Energy

With the continuous integration of cloud computing, edge computing, and Internet of things (IoT), various mobile applications will emerge in future 6G network. Driven by real-time response and low energy consumption requirements, mobile edge-cloud computing (MECC) will play an important role to improve user experience and reduce costs. However, due to the complexity of applications, the computing capacity of devices cannot meet the low-latency and low energy consumption requirement. Meanwhile, subject to the limited supplement of power and energy system, the heterogeneous multilayer mobile edge-cloud computing (HetMECC) is proposed to join cloud server, edge server, and terminal devices for data calculation and transmission. By dividing computing tasks, terminal applications can receive reliable and efficient computing services. The simulation results show that the proposed model can achieve the low-latency requirement of data calculation and transmission and improve the robustness of architecture.

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