MediaCloud: A New Paradigm of Multimedia Computing

Wen, Hui

doi:10.3837/tiis.2012.04.012

“…Ferretti et al [48] presented a cross-layer cloud architecture, which enabled wireless devices to seamlessly access multimedia services. Hui et al [49] developed a layered media cloud architecture. The QoS control was implemented across three layers, namely media service layer, media overlay layer, and resource management layer.…”

Section: Multimedia Cloud Computingmentioning

confidence: 99%

Resource allocation for multimedia services over cloud computing

Nan¹

2021

Preprint

0

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Cloud-based multimedia application has emerged as a popular service, delivering on demand media computing and storage to millions of users. Though widely deployed, the quality of service (QoS) in current cloud-based multimedia service is not satisfying, due to the varying user demands and strict response time requirements. This thesis investigates resource allocation approaches to improve QoS for cloud-based multimedia services. A service model is desired to quantify the user demands and resource allocation. To meet this need, we propose a queueing model to characterize the cloud service process, based on which we investigate the response time minimization problem and the resource cost minimization problem in single-service scenario, multi-service scenario, and priority service scenario, respectively. Dynamic workload causes the unbalanced resource utilization and local congestion in multimedia cloud. To address this issue, we propose a two-time-scale resource configuration (TRC) scheme to dynamically allocate virtual machines (VMs) to adapt to varying workload. Based on the TRC scheme, we solve the optimal VM configuration problems to minimize the resource cost or minimize the average response time for the single-site cloud scenario and the multi-site cloud scenario, respectively. We propose optimal workload scheduling schemes at user level and task level, respectively. At user level, we optimize the workload assignment to minimize the response time or minimize the resource cost. At task level, we introduce a directed acyclic graph to model the precedence constraints among tasks, and then solve the execution time minimization problems for sequential structure, parallel structure, and mixed structure, respectively. Cloud gaming is an emerging interactive multimedia service. However, current cloud gaming suffers from a high bandwidth consumption and a large response delay. We propose a hybrid streaming framework to provide a high quality cloud gaming experience. We solve the delay-rate-distortion (d-R-D) optimization problem to minimize the overall distortion under the bandwidth and response delay constraints.

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“…Ferretti et al [48] presented a cross-layer cloud architecture, which enabled wireless devices to seamlessly access multimedia services. Hui et al [49] developed a layered media cloud architecture. The QoS control was implemented across three layers, namely media service layer, media overlay layer, and resource management layer.…”

Section: Multimedia Cloud Computingmentioning

confidence: 99%

Resource allocation for multimedia services over cloud computing

Nan¹

2021

Preprint

0

View full text Add to dashboard Cite

Cloud-based multimedia application has emerged as a popular service, delivering on demand media computing and storage to millions of users. Though widely deployed, the quality of service (QoS) in current cloud-based multimedia service is not satisfying, due to the varying user demands and strict response time requirements. This thesis investigates resource allocation approaches to improve QoS for cloud-based multimedia services. A service model is desired to quantify the user demands and resource allocation. To meet this need, we propose a queueing model to characterize the cloud service process, based on which we investigate the response time minimization problem and the resource cost minimization problem in single-service scenario, multi-service scenario, and priority service scenario, respectively. Dynamic workload causes the unbalanced resource utilization and local congestion in multimedia cloud. To address this issue, we propose a two-time-scale resource configuration (TRC) scheme to dynamically allocate virtual machines (VMs) to adapt to varying workload. Based on the TRC scheme, we solve the optimal VM configuration problems to minimize the resource cost or minimize the average response time for the single-site cloud scenario and the multi-site cloud scenario, respectively. We propose optimal workload scheduling schemes at user level and task level, respectively. At user level, we optimize the workload assignment to minimize the response time or minimize the resource cost. At task level, we introduce a directed acyclic graph to model the precedence constraints among tasks, and then solve the execution time minimization problems for sequential structure, parallel structure, and mixed structure, respectively. Cloud gaming is an emerging interactive multimedia service. However, current cloud gaming suffers from a high bandwidth consumption and a large response delay. We propose a hybrid streaming framework to provide a high quality cloud gaming experience. We solve the delay-rate-distortion (d-R-D) optimization problem to minimize the overall distortion under the bandwidth and response delay constraints.

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“…W.Hui, C.Lin and Yang [11] worked on three major challenges for Multimedia cloud computing such as "heterogeneity, scalability, and multimedia QoS provisioning" and proposed a new architecture as "MediaCloud". They also introduced the key technologies through which users could be provided multimedia applications and services effectively and efficiently with QoS provisioning along MediaCloud architecture.…”

Section: Qos Metrics For Cloudy Multimedia Evaluationmentioning

confidence: 99%

Provisioning Quality of Service for Multimedia Applications in Cloud Computing

Ashraf¹,

Arif²,

Basit³

et al. 2018

IJITCS

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Abstract-Since the last decade, many new trends have been introduced to access network technologies and services through internet. Cloud computing is one of those significant technologies that reduce the cost and increase the productivity by providing a variety of services. Recently, cloud computing based system is primarily used for multimedia applications. Over the cloud computing, multimedia applications has some significant quality of service (QoS) requirements such as bandwidth, jitter, latency etc. But due to some limitations in services providing, it is constantly complex to make selection for an appropriate service. Keeping in view the provision of multimedia services through cloud computing, many different concepts and approaches that provide better cloud services under the constraints of QoS attributes have been described in the literature. The goal of this paper is to assess the applicability and provision of multimedia applications over cloud computing through enhanced quality of service. We have identified the primary quality of service msetrics evaluation of multimedia services over cloud computing. Furthermore, under these metrics we evaluated the existing approaches that provide multimedia related services with their strengths and limitations. This evaluation approach could provide the service that can provide better QoS in multimedia applications over cloud computing.

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MediaCloud: A New Paradigm of Multimedia Computing

Cited by 7 publications

References 28 publications

Resource allocation for multimedia services over cloud computing

Resource allocation for multimedia services over cloud computing

Resource allocation for multimedia services over cloud computing

Provisioning Quality of Service for Multimedia Applications in Cloud Computing

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