A Resource Allocation Mechanism for Video Mixing as a Cloud Computing Service in Multimedia Conferencing Applications
Abbas Soltanian, Mohammad A. Salahuddin, Halima Elbiaze, Roch Glitho

TL;DR
This paper presents a resource allocation mechanism for cloud-based video mixing in multimedia conferencing, optimizing scalability and QoS through an ILP model and heuristic, outperforming existing solutions in supporting more users.
Contribution
It introduces a novel resource allocation approach for cloud video mixing that enhances scalability and QoS in multimedia conferencing applications.
Findings
Supports more participants than existing methods.
Maintains QoS by ensuring end-to-end delay constraints.
Demonstrates effectiveness through simulation results.
Abstract
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). Many multimedia conferencing applications use video extensively, thus video mixing in conferencing settings is of critical importance. Cloud computing is a technology that can solve the scalability issue in multimedia conferencing, while bringing other benefits, such as, elasticity, efficient use of resources, rapid development, and introduction of new applications. However, proposed cloud-based multimedia conferencing approaches so far have several deficiencies when it comes to efficient resource usage while meeting Quality of Service (QoS) requirements. We propose a solution to optimize resource allocation for cloud-based video mixing service in multimedia conferencing…
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Taxonomy
TopicsImage and Video Quality Assessment · Cloud Computing and Resource Management · Peer-to-Peer Network Technologies
