An Architecture for Cloud-Based IP Video Production Tools

Northwood, Chris; Wadge, R.N.J.

doi:10.5594/jmi.2018.2813198

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…We are creating a number of tools as part of an OBM toolkit, which will describe flexible OBM workflows, see Figure 3. The tools are built around our data model, and on top of our OPTiC (Object Based Production Tools in the Cloud) platform (12).…”

Section: Tooling and Workflow For Obmmentioning

confidence: 99%

Moving Object-Based Media Production from One-Off Examples to Scalable Workflows

Cox¹,

Brooks²,

Forrester³

et al. 2018

SMPTE Mot. Imag. J

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In this paper, we outline our progress towards creating tools and workflows for object-based media production, taking us from one-off demonstrators to scalable production, through the creation of production tools based on shared data models. We feature a recent example of object-based media (OBM) created from the ground up, and discuss the lessons learnt from this production. We then discuss the progress we are making towards creating a kit of OBM software tools and workflows. Finally, we look at our progress towards building a community of practice for object-based media.

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Section: Tooling and Workflow For Obmmentioning

confidence: 99%

Moving Object-Based Media Production from One-Off Examples to Scalable Workflows

Cox¹,

Brooks²,

Forrester³

et al. 2018

SMPTE Mot. Imag. J

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“…6. Simulation Results and Discussion Figure 6 compares the LERs of the three label stacking scenarios in the GMPLS network for hybrid labels; here, (M, N) = (8,31) and (M, N) = (4, 63). The parameters used for the simulations are the received power (P = −10 dbm), photo-diode responsivity (R = 0.81 A/W), and electrical bandwidth (B = 80 MHz).…”

Section: Piinmentioning

confidence: 99%

“…The performance of the stacked SAC labels is not investigated in this figure, as the channel number M is always fixed to 1. Figure 7 shows the effect of the received optical power on the system LER for K = 80 and (M, N) = (8,31). The LERs of the random label distribution and sequential wavelength distribution decrease with the increase in the received power.…”

Section: Piinmentioning

confidence: 99%

“…Recently, IP services have extended to multiple high-bandwidth applications, such as IP television (IPTV) [6], voice over IP (VoIP) [7], and two-way video conferences [8]. To meet the increasing demand for data traffic, optical packet switching (OPS) [9][10][11] is integrated under IP to provide high bandwidth and signal reliability to end users.…”

Section: Introductionmentioning

confidence: 99%

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Label Stacking Scenarios in Hybrid Wavelength and Code-Switched GMPLS Networks

Chen

2018

Electronics

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Multi-protocol label switching (MPLS) is a promising solution to implement high-speed internet protocol (IP) networks by reducing the layer number. To meet the increasing demand for data traffic, optical packet switching (OPS) is integrated under IP to provide high bandwidth to end users. Generalized MPLS (GMPLS) is perfectly compatible with the routing algorithm in IP/MPLS as it supports packet-switching functions. In this paper, we investigate the label stacking scenarios in GMPLS networks. In GMPLS, label stacking is done to reduce the node complexity by appending multiple labels to a single packet. Wavelength-division multiplexing (WDM) and optical code-division multiplexing (OCDM) signals have been widely used as identifying labels. As the labels can be permutated among the wavelengths or code dimensions, the structure of a label stack can be varied. However, studies on the relationship between label stacking scenarios and network performance are limited. To investigate this issue, we propose three label stacking models: sequential code distribution; sequential wavelength distribution, and random label distribution. The simulation results show that the sequential wavelength assignment, wherein the labels are uniformly distributed among the wavelengths, exhibits the best system performance in terms of the label-error rate (LER).

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