Cloud Gaming: Understanding the Support From Advanced Virtualization and Hardware

Shea, Ryan; Fu, Di; Liu, Jiangchuan

doi:10.1109/tcsvt.2015.2450172

Cited by 40 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cloud computing has been considered as a means of providing high-quality gaming services with light-weight userside computing [3]. Sharing computing resources such as CPU and GPU between virtual machines for cloud gaming was discussed [15], [16]. It was demonstrated that the cloud gaming platform can bring 3D gaming experience at acceptable latency [17].…”

Section: B Cloud Computing For Gaming and Vrmentioning

confidence: 99%

Selective Timewarp Based on Embedded Motion Vectors for Interactive Cloud Virtual Reality

Nguyen

Kim

Son³

et al. 2019

IEEE Access

View full text Add to dashboard Cite

Interactive virtual reality (VR) services such as VR gaming require considerable computing power for rendering higher quality VR images at a high frame rate. Thus offloading such VR processing to a cloud or edge computing entity is promising, but is accompanied by long latency leads for a user to see an image of the past viewport, resulting in prohibitive motion sickness. Time warp is a technique for VR that warps a rendered image before scanning it out to the display to correct for the head movement occurring after the rendering and will play an important role in reducing the perceived latency in cloud/edge VR. However, time warp has to be applied to the image areas excluding the head-locked objects such as head-up display, menu bar, and notification that are intended to have a fixed position on a screen; otherwise, they are shown to judder. In this paper, we propose an algorithm that identifies head-locked objects in encoded VR frames at low computational load with no explicit information of the head-locked objects for selective time warp in the cloud/edge VR environments. First, we make a key observation from testbed experiments that motion vectors embedded in an encoded VR video stream are highly correlated with the user's head motion. Based on this finding, the head-locked object detection algorithm is designed to: 1) find a raw shape of each head-locked object from motion vectors embedded in frames and 2) identify the exact pixel-level head-locked region within a limited search area (along the boundary of each raw shape) by monitoring pixel color changes over frames. In order to achieve even lower computational load, the costly part of the algorithm is activated only when a new head-locked object appears. The experimental study demonstrates that the algorithm is able to detect multiple head-locked objects with zero pixel error under limited computational load.INDEX TERMS Virtual reality, cloud VR, timewarp, image reprojection, head-locked object, motion vector.

show abstract

Section: B Cloud Computing For Gaming and Vrmentioning

confidence: 99%

Selective Timewarp Based on Embedded Motion Vectors for Interactive Cloud Virtual Reality

Nguyen

Kim

Son³

et al. 2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…This design uses the EC to detect the operation condition of the gaming notebook and then to notify the BIOS to perform interrupt instructions to balance and to adjust the performance of the CPU and the GPU. To maintain an sufficient performance of the GPU for high resolution image processing performance, this design provides an easier way to achieve the balance between the system power consumption and the system performance of both the CPU and the GPU [19]- [22].…”

Section: Hardware and Software Design Of A Gaming Notebookmentioning

confidence: 99%

Dynamic Performance Adjustment of CPU and GPU in a Gaming Notebook at the Battery Mode

Cheng

Bai

2019

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

This new design uses a low power embedded controller (EC) in cooperation with the BIOS of a notebook (NB) computer, both to accomplish dynamic adjustment and to maintain a required performance level of the battery mode of the notebook. In order to extend the operation time at the battery mode, in general, the notebook computer will directly reduce the clock rate and then reduce the performance. This design can obtain the necessary balance of the performance and the power consumption by using both the EC and the BIOS cooperatively to implement the dynamic control of both the CPU and the GPU frequency to maintain the system performance at a sufficient level for a high speed and high resolution video game. In contrast, in order to maintain a certain notebook performance, in terms of battery life it will be necessary to make some trade-offs.

show abstract

“…However, with careful configuration choices, the performance overhead can be very small, if not negligible. Shea et al [87] showed that even a public cloud is ready for cloud gaming applications with minimal overhead. Several studies have discussed VM allocation on a given stack of resources.…”

Section: System Architecturementioning

confidence: 99%

Towards pervasive and mobile gaming with distributed cloud infrastructure

Kämäräinen¹,

Siekkinen²,

Xiao³

et al. 2014

2014 13th Annual Workshop on Network and Systems Support for Games

View full text Add to dashboard Cite

Cloud Gaming: Understanding the Support From Advanced Virtualization and Hardware

Cited by 40 publications

References 32 publications

Selective Timewarp Based on Embedded Motion Vectors for Interactive Cloud Virtual Reality

Selective Timewarp Based on Embedded Motion Vectors for Interactive Cloud Virtual Reality

Dynamic Performance Adjustment of CPU and GPU in a Gaming Notebook at the Battery Mode

Towards pervasive and mobile gaming with distributed cloud infrastructure

Contact Info

Product

Resources

About