A Cloud Gaming System Based on NVIDIA GRID GPU

Review on Cloud Gaming Frameworks

“…Several papers such as [7,8] have demonstrated degraded performances in terms of lower frame rate, high response time and low video quality when virtualizing GPU and shared among multiple VMs. Keeping this in mind several other papers have tried newer technologies such as modern GPUs [9] such as Nvidia K2 and GRID based cloud system [9,10] is directed towards answering whether the modern GPUs are ready for cloud gaming. They found that the modern GPUs have low consolidation overhead and are powerful enough to concurrently support multiple GPU-intensive cloud games, the cloud gaming server with the modern GPUs may become CPU-bounded.…”

“…They also found that the mediated pass-through GPU virtualization implemented in the latest GPUs enables efficient GPU sharing among multiple VMs resulting in better performance than dedicated GPUs as well as the shared GPUs are scalable to a number of VMs (Figure 3). The other paper [10] is centered towards use of a concurrent server built up based on the integration of Nvidia Grid GPUs and Gaming Anywhere open source cloud gaming platform in order to reduce the delay in limited bandwidth and improve multi-client concurrent access efficiency.…”

PathMiner Powered Predictable Packet Processing

“…Delay predictability, especially at the tail, is critical for many applications. For example, soft real-time systems [26], [19] need estimates of worst case delays for scheduling; DoS defense systems [4] need to identify execution paths that saturate compute resources of network elements; and data center networks need to ensure low tail latency [20] to optimize user experience.…”