An Low-Cost Integrated Control System for the 3-Axis Computer Numerical Control (CNC) Router Machine

Rogelio, Jayson P.; Baldovino, Renann G.; Limson, Allan John S.; Liza, Fred P.; Puerto, Jonathan Q.

doi:10.1166/asl.2017.8863

Cited by 2 publications

(1 citation statement)

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“…CTR maintains the network information, including network status information and content location information. And the information can be used for content data scheduling and user request processing [16], [17].…”

Section: A Architecture Design Of Ec Video Distribution System Based On Icnmentioning

confidence: 99%

Video Stream Distribution Scheme Based on Edge Computing Network and User Interest Content Model

2020

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In view of the inherent defects of traditional network protocols, unreasonable video content distribution process, content scheduling and routing mechanism need to be optimized in the current edge computing (EC) network. A centralized control EC network architecture of named data networking (NDN) is proposed in this paper. EC nodes are deployed on the edge of the network to provide caching and computing capabilities, and distribute video streams. So that transmission delay is reduced, bandwidth cost is saved, and the quality of experience (QoE) is improved. Firstly, the communication mechanism of NDN is introduced to distribute content and improve the efficiency of content distribution. In the scheme, the content distribution mechanism of video stream is improved in a distributed way. Different bit rate versions of video clips are distributed and buffered on the distributed EC nodes, so as to avoid redundant cache and save storage resources. In addition, the user interest content model is constructed. That is, video is divided into different categories according to content and user content preference model. Finally, with the limited cache and computing resources of EC nodes, the software defined network (SDN) mechanism is introduced for centralized management and control. And it provides a solution for content scheduling problem under resource constraints. In the scheme, the content distribution mode is decided by the effective arrangement of network resources, and the user's request is processed and responded cooperatively to avoid redundant cache and transmission. Based on the selection of forwarding response mode, the distributed characteristics of EC nodes and the routing and forwarding mechanism of NDN are fully utilized to provide users with response. It is shown by the experimental results that the proposed scheme optimizes the load on the network side and the experience of the client to a certain extent.INDEX TERMS Video distribution, edge computing (EC), user content preference model, adaptive bit rate (ABR), information centric networking (ICN).

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Section: A Architecture Design Of Ec Video Distribution System Based On Icnmentioning

confidence: 99%

Video Stream Distribution Scheme Based on Edge Computing Network and User Interest Content Model

2020

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A Microcontroller-based and Cost-efficient Computer Numerical Control (CNC) Soldering Station

Wong¹,

Laureta²,

Barcoma³

et al. 2022

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

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An Low-Cost Integrated Control System for the 3-Axis Computer Numerical Control (CNC) Router Machine

Cited by 2 publications

References 0 publications

Video Stream Distribution Scheme Based on Edge Computing Network and User Interest Content Model

Video Stream Distribution Scheme Based on Edge Computing Network and User Interest Content Model

A Microcontroller-based and Cost-efficient Computer Numerical Control (CNC) Soldering Station

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