vGASA: Adaptive Scheduling Algorithm of Virtualized GPU Resource in Cloud Gaming

Zhang, Chao; Yao, Jianguo; Qi, Zhengwei; Yu, M.; Guan, Haibing

doi:10.1109/tpds.2013.288

Cited by 46 publications

(17 citation statements)

References 17 publications

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“…Second, we observe that even when the GPU utilization is not saturated, the FPS never exceeds 48 and 66 under vGPU 8 and other modes, respectively. This indicates that an FPS-aware GPU scheduling algorithm, similar to Zhang et al [23], has been implemented, making vGPU even more suitable for sharing GPUs among VMs running cloud games. Importance of hardware codecs.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…The software-based GPU virtualization is compatible with more GPU hardware, while the passthrough approach achieves better performance. The softwarebased virtualization is more flexible, adopted by VMWare [4], and used in prototyping optimization algorithms for GPU scheduling [23]. The pass-through approach can further be classified into: (i) one-to-one fixed pass-through and (ii) oneto-many mediated pass-through [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

GPU consolidation for cloud games: Are we there yet?

Hong¹,

Fan-Chiang²,

Chen³

et al. 2014

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

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Abstract-Since the operating expense is crucial to the increasingly popular cloud gaming services, server consolidation is one of the key technologies for the success of these services. In this paper, we conduct extensive experiments using real GPUs and a complete cloud gaming platform to answer the following question: Are modern GPUs ready for cloud gaming? Our experiment results show that modern GPUs have low consolidation overhead, and are powerful enough to concurrently support multiple GPU-intensive cloud games. For example, when using our cloud gaming platform, the recent NVidia K2 GPU outperforms NVidia Quadro 6000 by up to 3.46 times in FPS (frame per second). Moreover, our experiments lead to two new findings that are counter to common beliefs. First, with the latest GPU virtualization technique, shared GPUs may run faster than dedicated GPUs. Second, more context switches not necessarily lead to lower FPS. Last, our experiments shed some light on further enhancements of cloud gaming platforms. For example, offloading the software video codec to the GPUs will result in better gaming experience, which is one of our future tasks.

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Section: Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GPU consolidation for cloud games: Are we there yet?

Hong¹,

Fan-Chiang²,

Chen³

et al. 2014

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

View full text Add to dashboard Cite

show abstract

“…Virtualization technology is responsible for the creation, migration and cancellation of virtual machines [8]. When the task needs space in excess, fluctuation in utilization of resources leads to migration.…”

Section: Virtualizationmentioning

confidence: 99%

A Review on Scheduling in Cloud Computing

Sujitha¹,

Gunasekar²

2016

IJU

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“…To solve problem (1), we exert the feedback control approach in vGASA proposed by [6]. The details on the control system model can be found in Sec.…”

Section: Feedback Control For Sla Guaranteesmentioning

confidence: 99%

Energy-Efficient SLA Guarantees for Virtualized GPU in Cloud Gaming

Guan

Yao

et al. 2015

IEEE Trans. Parallel Distrib. Syst.

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Both power consumption and SLA guarantees are important concerns for cloud gaming. Recently, various approaches have been developed to effectively reduce GPU power consumption by making GPU run at low frequencies. However, Virtual Machines (VMs) running on the same physical GPU with virtualization technology are correlated, because the change of GPU frequencies will affect the SLA performance of all the VMs. In fact, both reducing power consumption and guaranteeing SLA should work together under the considerations of their correlations. This paper proposes a novel two-layer control architecture called EvGPU (Energy-efficient SLA guarantees for virtualized GPU) based on well-established feedback control techniques. The first control loop adopts a Proportional-Integral (PI) controller to ensure SLA guarantees, which in particular are measured at a predefined level of the Frames Per Second (FPS) for each online game. The secondary power control loop then adjusts GPU frequency through Dynamic Voltage/Frequency Scaling (DVFS) to reduce power consumption based on the current FPS achieved by the first loop. Empirical results demonstrate that the proposed solution can effectively reduce GPU power consumption, while achieving the required SLA performance in virtualized GPU for cloud gaming.

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vGASA: Adaptive Scheduling Algorithm of Virtualized GPU Resource in Cloud Gaming

Cited by 46 publications

References 17 publications

GPU consolidation for cloud games: Are we there yet?

GPU consolidation for cloud games: Are we there yet?

A Review on Scheduling in Cloud Computing

Energy-Efficient SLA Guarantees for Virtualized GPU in Cloud Gaming

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