ADS: Adaptive and dynamic scaling mechanism for multimedia conferencing services in the cloud

Soltanian, Abbas; Naboulsi, Diala; Salahuddin, Mohammad A.; Glitho, Roch; Elbiaze, Halima; Wette, Constant

doi:10.1109/ccnc.2018.8319217

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…That is, a new VM is only instantiated if an incoming request cannot be handled by increasing the resources of an existing VM. -- [12] - [13] - [14] -Non-Conferencing Cloud Solutions [16] - [17] -- [18] -- [19] --NFV Solutions…”

Section: ) Objectivesmentioning

confidence: 99%

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Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing

Soltanian

Naboulsi

Glitho

et al. 2019

IEEE J. Select. Areas Commun.

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Multimedia conferencing is the conversational exchange of multimedia content between multiple parties. It has a wide range of applications (e.g., Massively Multiplayer Online Games (MMOGs) and distance learning). Media handling services (e.g., video mixing, transcoding, and compressing) are critical to multimedia conferencing. However, efficient resource usage and scalability still remain important challenges. Unfortunately, the cloud-based approaches proposed so far have several deficiencies in terms of efficiency in resource usage and scaling, while meeting Quality of Service (QoS) requirements. This paper proposes a solution which optimizes resource allocation and scales in terms of the number of participants while guaranteeing QoS. Moreover, our solution composes different media handling services to support the participants' demands. We formulate the resource allocation problem mathematically as an Integer Linear Programming (ILP) problem and design a heuristic for it. We evaluate our proposed solution for different numbers of participants and different participants' geographical distributions. Simulation results show that our resource allocation mechanism can compose the media handling services and allocate the required resources in an optimal manner while honoring the QoS in terms of end-to-end delay.

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Section: ) Objectivesmentioning

confidence: 99%

“…The focus of these works is cost efficiency and they do not consider QoS. Soltanian et al in [12] consider QoS too. They propose an adaptive and dynamic scaling mechanism for cloudbased multimedia conferencing services.…”

Section: ) Resource Allocation For Multimedia Conferencing In the Cloudmentioning

confidence: 99%

Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing

Soltanian

Naboulsi

Glitho

et al. 2019

IEEE J. Select. Areas Commun.

Self Cite

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“…Researchers specifically focused on placing multimedia conferencing services in the cloud. Named adaptive and dynamic scaling (ADS) mechanism, a scalable and elastic solution was proposed according to the number of conference participants, targeting smaller scenarios, such as distance learning, to massively multiplayer online game (MMOG) platforms managing millions of users . Aiming to provide an acceptable user experience (eg, lower waiting times) at reduced costs, optimised media service selection and scheduling algorithms were proposed .…”

Section: Related Workmentioning

confidence: 99%

“…Named adaptive and dynamic scaling (ADS) mechanism, a scalable and elastic solution was proposed according to the number of conference participants, targeting smaller scenarios, such as distance learning, to massively multiplayer online game (MMOG) platforms managing millions of users. 35 Aiming to provide an acceptable user experience (eg, lower waiting times) at reduced costs, optimised media service selection and scheduling algorithms were proposed. 36 Nevertheless, these efforts do not tackle the specialised components, neither the composition of workflows across multiple federations or the 2-second deadline imposed by the EMD project.…”

Section: Cloud-based A/v Services Allocationmentioning

confidence: 99%

Efficient allocation of elastic interfederation encrypted streaming sessions

et al. 2019

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Summary Audio and video (A/V) collaboration platforms often use Internet cloud technologies to ensure elasticity. They generally operate on a best‐effort basis, without quality or delivery guarantees. However, such guarantees are a premise of business‐focused platforms, which often rely on static/dedicated infrastructure and hardware‐based components. This article presents results obtained in the final stage of the Elastic Media Distribution (EMD) project, which targets the migration of a business‐focused hardware‐based A/V collaboration tool towards a more elastic, reliable, and secure cloud‐based model. The use case under investigation is an educational scenario: teachers and students located at distributed sites collaborate under different data encryption policies. An existing model of collaboration streaming is extended to accommodate encryption‐enabled streaming components, and new resource allocation heuristics are proposed to deploy these components under stringent service level agreement (SLA) constraints. An extended version of our evaluation framework, based on the CloudSim simulator, manages encryption‐enabled components. A resource usage dataset was obtained by prototyping selected streaming components and evaluating their performance on the Virtual Wall large‐scale test bed. This dataset is fed into the extended simulation framework. Simulation results show longer than expected delays when loading streaming components, an issue that jeopardises the user experience that can be alleviated by the algorithms proposed in this article. Results show that the proposed algorithms enable policy‐based secured communications under bandwidth and virtual machine (VM) cost increases of 48% and 23%, respectively, if compared with a nonencrypted previous solution, and with set‐up times remaining under the required 2‐second deadline.

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Preemptive Resource Provisioning for Container-Based Audio/Video Encrypted Collaboration Applications

et al. 2020

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ADS: Adaptive and dynamic scaling mechanism for multimedia conferencing services in the cloud

Cited by 4 publications

References 17 publications

Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing

Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing

Efficient allocation of elastic interfederation encrypted streaming sessions

Preemptive Resource Provisioning for Container-Based Audio/Video Encrypted Collaboration Applications

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