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Green computing and energy efficiency has become an important issue in today's rapidly growing multimedia transmission. Meanwhile users want high-quality content to be viewed anywhere, content producers must think alternatives for cutting expenses in the server. Usually multiple sub-streams from the original video feed are needed for clients with unique device characteristics, which can notably load...
We propose an end-to-end approach to describe the energy usage of video delivery within a content delivery framework, and use this to investigate the energy usage behavior of two popular coding schemes, namely, H.264/AVC and H.265/HEVC. Our study based on the proposed model is backed up by measurements of encoding and decoding energy usage of a sample video and shows that, from an end-to-end perspective,...
Adaptive HTTP video streaming has gained popularity in providing live feed from the events to mobile consumers. For reaching the widest possible audience, video service providers usually need to generate multiple video representations from the input stream suitable for different clients, which can increase the server-side energy consumption and processor load. HTTP streaming enables client adaptation...
Data Center (DC), the underlying infrastructure of cloud computing, becomes startling large with more powerful computing and communication capability to satisfy the wide spectrum of composite applications. In a large scale DC, a great number of switches connect servers into one complex network. The energy consumption of this communication network has skyrocketed and become the same league as the computing...
In this paper we evaluate four mainstream video encoders: H.264/MPEG-4 Advanced Video Coding, Google's VP8, High Efficiency Video Coding, and Google's VP9, studying conventional figures-of-merit such as performance in terms of encoded frames per second, and encoding efficiency in both PSNR and bit-rate of the encoded video sequences. Additionally, two platforms equipped with a large number of cores,...
A critical research issue is to lower the energy consumption of a virtualized data center by means of virtual machine placement optimization while satisfying the resource requirements of the cloud services. In this paper, we focus on different existing schemes and on the energy-aware virtual machine placement optimization problem of a heterogeneous virtualized data center. We attempt to explore a...
The challenges involved in designing a wireless Vision Sensor Node include the reduction in processing and communication energy consumption, in order to maximize its lifetime. This work presents an architecture for a wireless Vision Sensor Node, which consumes low processing and communication energy. The processing energy consumption is reduced by processing lightweight vision tasks on the VSN and...
Adaptive modulation and coding (AMC) has been widely used to improve the spectral efficiency. In this paper, we take a different look at it from energy saving point of view. Specifically, we analyze the queuing behavior of AMC systems jointly with sleep mode where the wake-up process incurs time and energy cost. We formulate the optimization problem by jointly considering energy-efficiency, queuing...
Peer-to-peer networks are a popular means of obtaining large files. Network coding has been shown as an efficient means of sharing large files in a P2P network. With network coding, all file blocks have the same relative importance. This paper presents Deluge, which uses network coding to share large files in a P2P overlay running on a MANET. Peers request file blocks from multiple server nodes and...
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