MixNStream

Yuen, Philip; Chan, S.-H. Gary

doi:10.1145/1877891.1877909

Cited by 3 publications

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A resource allocation mechanism for video mixing as a cloud computing service in multimedia conferencing applications

Soltanian

Salahuddin

Elbiaze

et al. 2015

2015 11th International Conference on Network and Service Management (CNSM)

View full text Add to dashboard Cite

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 applications, which can support scalability in terms of number of users, while guaranteeing QoS. We formulate the resource allocation problem mathematically as an Integer Linear Programming (ILP) problem and design a heuristic for it. Simulation results show that our resource allocation model can support more participants compared to the state-of-the-art, while honoring QoS, with respect to end-to-end delay.

show abstract

A resource allocation mechanism for video mixing as a cloud computing service in multimedia conferencing applications

Soltanian

Salahuddin

Elbiaze

et al. 2015

2015 11th International Conference on Network and Service Management (CNSM)

View full text Add to dashboard Cite

show abstract

Virtual mixer: Real-time audio mixing across clients and the cloud for multiparty conferencing

Jun

Yuan

Zhu

et al. 2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

View full text Add to dashboard Cite

Traditional multiparty audio or video conferencing uses a single node, sometimes called a multipoint control unit, or MCU, to mix audio data for the conference. We introduce a novel mixer, called a Virtual Mixer, which performs mixing in a distributed way over the network. The Virtual Mixer topology is optimized over Steiner trees using a metric of either average pairwise delay (APD) or maximum pairwise delay (MPD). Since the topology is adapted to the particular set of clients and servers available in the cloud, optimization speed is important. In order to solve this NPhard Steiner tree optimization, we propose heuristic algorithms for finding the Pairwise-delay-optimal Tree (PT) for both APD and MPD, which are orders of magnitude faster than exhaustive search, yet find trees with delays that are minimal or within a few percent of minimal. We show through experiments both on a corporate intranet and on up to 12 PlanetLab nodes that Virtual Mixing can reduce both the APD and the MPD between clients by upwards of 50%, compared with the existing MCU-based and P2P-based mixing approaches.

show abstract

Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing

Soltanian

Naboulsi

Glitho

et al. 2019

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

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.

show abstract

MixNStream

Cited by 3 publications

References 8 publications

A resource allocation mechanism for video mixing as a cloud computing service in multimedia conferencing applications

A resource allocation mechanism for video mixing as a cloud computing service in multimedia conferencing applications

Virtual mixer: Real-time audio mixing across clients and the cloud for multiparty conferencing

Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing

Contact Info

Product

Resources

About