Joint optimization of routing and VM resource allocation for multimedia cloud

Gong, Wenqiang; Yan, Jinyao; Nan, Xiaoming; Tie, Yun

doi:10.1007/s00530-019-00611-1

Cited by 3 publications

(3 citation statements)

References 32 publications

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“…Reference [13] proposes an adaptive video streaming architecture for LTE systems and puts forward the Streamlined DP-based Qualitylevel Allocator (SDQA) to accelerate DPQA. Gong et al [5] build a cloud-based network model from the perspective of data center to reduce the transmission time and cost. In [14], a multi-queue scheduling (MQS) method is proposed to address the issue of cost among private green infrastructure-as-a-service clouds (GICs) and public external clouds.…”

Section: Related Workmentioning

confidence: 99%

“…The existing studies fall into three categories: networks operator-oriented resources distribution algorithms, service provider-oriented resources distribution algorithms and user-oriented resources distribution algorithms. Gong et al [5] propose a cloud network model for the resources allocation of virtual machines in multimedia cloud and use a QoS-SPA routing algorithm to deal with the transmission delay between data centers. In [6], in order to preempt resources and preserve bandwidth, an admission control scheme is proposed to improve the service quality.…”

Section: Introductionmentioning

confidence: 99%

“…Decide the U j (t) via solving equation(23); 13 if δV − Q j (t) > 0 then 14 P j (t) = A j (t); H j (t), Q j (t) and R j (t) according to equation(2),(5) and(9); return H j (t), U j (t) and SE.…”

mentioning

confidence: 99%

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Multimedia Resources Purchase and Distribution Optimization for 5G Edge Cloud Networks

Jiang

Cao

et al. 2020

IEEE Access

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The fifth generation of mobile communication networks (5G) is an emerging paradigm that can accommodate more audiovisual entertainment video sites from mobile applications and the video quality can be greatly improved by reducing latency. Due to the limited multimedia resources and insufficient bandwidth, it is of great importance to allocate multimedia resources reasonably and enhance user experience. Although researchers have proposed many resources allocation mechanisms, most of them focus only on maximizing system efficiency. Considering system efficiency, transmission delay and the profit of service providers, an optimal multimedia resources allocation algorithm in the 5G edge cloud networks is proposed from the perspective of service providers. Based on the Lyapunov stochastic profit maximization algorithm, system efficiency, transmission delay and the profit of service providers are regarded as performance indicators and the multimedia resources allocation problem is transformed into queue stability issues. Finally, rigorous analyses and simulation experiments show the performance of Lyapunov stochastic profit maximization algorithm in multimedia resources allocation.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%