Generic Monitoring and Management Infrastructure for 3D NoC-Bus Hybrid Architectures

Author(s):  
Amir-Mohammad Rahmani ◽  
Kameswar Rao Vaddina ◽  
Khalid Latif ◽  
Pasi Liljeberg ◽  
Juha Plosila ◽  
...  
Keyword(s):  
2021 ◽  
Vol 11 (2) ◽  
pp. 503
Author(s):  
Yuriy Reznik ◽  
Jordi Cenzano ◽  
Bo Zhang

We analyze the differences between on-premise broadcast and cloud-based online video delivery workflows and identify technologies needed for bridging the gaps between them. Specifically, we note differences in ingest protocols, media formats, signal-processing chains, codec constraints, metadata, transport formats, delays, and means for implementing operations such as ad-splicing, redundancy and synchronization. To bridge the gaps, we suggest specific improvements in cloud ingest, signal processing, and transcoding stacks. Cloud playout is also identified as critically needed technology for convergence. Finally, based on all such considerations, we offer sketches of several possible hybrid architectures, with different degrees of offloading of processing in cloud, that are likely to emerge in the future.


2013 ◽  
Vol 96 ◽  
pp. 210-213 ◽  
Author(s):  
Yong Chen ◽  
Tianmo Liu ◽  
Chunlin Chen ◽  
Weiwei Guo ◽  
Rong Sun ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3185 ◽  
Author(s):  
Shiyu Gan ◽  
Daniela Chrenko ◽  
Alan Kéromnès ◽  
Luis Le Moyne

Hybrid electric vehicles (HEVs) are very promising sustainable mobility solutions. Series, parallel and series-parallel (SP) seem to be three most promising architectures among the multitude of hybrid architectures, and it is possible to find them in a multi-applications such as the motorcycles, family-cars, hybrid city busses and sport cars. It is import to have a well configured model in order to develop the different control strategies (CsTs) for each application. Therefore, a multi-architecture/multi-application (MAMA) approach capable of identifying the most energy efficient hybrid architecture considering both the dimensions of key components: electric motor (EM), battery, internal combustion engine (ICE) and the optimal control is presented. Basis of the model is the energetic macroscopic representation (EMR), which has been combined with object oriented programming (OOP) in order to enhance its modularity and reuse capabilities. The obtained results show, that different hybrid architectures are most adapted for different applications. Moreover, the robustness of the results using real time control algorithms are studied, showing that CsT matters. The obtained results contribute to simplify and harmonize the design of hybrid solutions for multiple applications.


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