Special Issue "Multimedia Cloud Computing"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3524

Special Issue Editors

Dr. Miguel García-Pineda
E-Mail Website
Guest Editor
Computer Science Department, University of Valencia, 46100 Valencia, Spain
Interests: multimedia networks; streaming; QoE; QoS; IoTs; cloud computing
Special Issues, Collections and Topics in MDPI journals
Dr. Juan Gutiérrez-Aguado
E-Mail Website
Guest Editor
Computer Science Department, Universitat de Valencia, Valencia, Spain
Interests: cloud computing; distributed programming; image and video processing

Special Issue Information

Dear Colleagues,

Video represents a considerable amount of Internet traffic, and this traffic is expected to increase with user demands for higher resolutions. This pressure fosters the development of new video encoding architectures, streaming techniques, and multimedia applications based on cloud infrastructures in order to reduce the costs of multimedia streaming processes while maintaining a quality experience. In this new multimedia cloud computing paradigm, users can store and process their multimedia data in the cloud in a distributed manner, eliminating the need for the full installation of media application software on local computers or devices.

This Special Issue "Multimedia Cloud Computing" reflects the cutting edge of research in multimedia processing in cloud infrastructures. Submissions are expected to focus on both the theoretical aspects and applications of multimedia cloud computing. New ideas proposing disruptive approaches are also welcome.

Topics of interest include, but are not limited to, the following areas:

  • Video coding in the media cloud
  • Estimation of video encoder parameters
  • Cloud video processing architectures
  • Edge multimedia processing
  • Serverless multimedia processing
  • Multimedia Streaming techniques over cloud
  • Cloud-based multimedia applications
  • 360 video processing in the cloud
  • Architectures enabling multimedia processing in fog/edge

We hope this Special Issue works as a roadmap for all researchers, developers, and users in this area.

Dr. Miguel García-Pineda
Dr. Juan Gutiérrez-Aguado
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

Article
GPU-Enabled Serverless Workflows for Efficient Multimedia Processing
Appl. Sci. 2021, 11(4), 1438; https://doi.org/10.3390/app11041438 - 05 Feb 2021
Cited by 5 | Viewed by 1169
Abstract
Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications. To this aim, this paper introduces the evolution of a framework to support the execution [...] Read more.
Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications. To this aim, this paper introduces the evolution of a framework to support the execution of customized runtime environments in AWS Lambda in order to accommodate workloads that do not satisfy its strict computational requirements: increased execution times and the ability to use GPU-based resources. This has been achieved through the integration of AWS Batch, a managed service to deploy virtual elastic clusters for the execution of containerized jobs. In addition, a Functions Definition Language (FDL) is introduced for the description of data-driven workflows of functions. These workflows can simultaneously leverage both AWS Lambda for the highly-scalable execution of short jobs and AWS Batch, for the execution of compute-intensive jobs that can profit from GPU-based computing. To assess the developed open-source framework, we executed a case study for efficient serverless video processing. The workflow automatically generates subtitles based on the audio and applies GPU-based object recognition to the video frames, thus simultaneously harnessing different computing services. This allows for the creation of cost-effective highly-parallel scale-to-zero serverless workflows in AWS. Full article
(This article belongs to the Special Issue Multimedia Cloud Computing)
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Article
Transitioning Broadcast to Cloud
Appl. Sci. 2021, 11(2), 503; https://doi.org/10.3390/app11020503 - 06 Jan 2021
Cited by 1 | Viewed by 1072
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Multimedia Cloud Computing)
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Article
Resolving Dilemmas Arising during Design and Implementation of Digital Repository of Heterogenic Scientific Resources
Appl. Sci. 2021, 11(1), 215; https://doi.org/10.3390/app11010215 - 28 Dec 2020
Cited by 1 | Viewed by 813
Abstract
The creation of digital repositories for archiving and disseminating scientific resources faces many challenges. These challenges relate not only to the modelling of the processes of preparing, depositing, sharing, maintaining, and curating resources. They also face the feasibility of the adopted assumptions and [...] Read more.
The creation of digital repositories for archiving and disseminating scientific resources faces many challenges. These challenges relate not only to the modelling of the processes of preparing, depositing, sharing, maintaining, and curating resources. They also face the feasibility of the adopted assumptions and final implementation. Such kind of issues become particularly important in the case of processing of resources containing multimedia. The critical factor then becomes a properly designed architecture that supports efficient data processing and universal data presentation. This article aims to answer questions that may arise when approaching various designing and implementation dilemmas, such as how to handle processes in a digital repository, how to use cloud solutions in its construction, how to work with user interfaces, and how to process collected multimedia. The presented study explores their practical context based on the experiences gained during the AZON platform’s implementation. This platform stores tens of thousands of scientific resources: books, articles, magazines, teaching materials, presentations, photos, 3D scans, audio and video files, databases, and many more. It serves as a running example for all presented proposals. Full article
(This article belongs to the Special Issue Multimedia Cloud Computing)
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