Performance Metrics Analysis of GamingAnywhere with GPU acceletayed NVIDIA CUDA using gVirtuS
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
The modern world has opened the gates to a lot of advancements in cloud computing, particularly in the field of Cloud Gaming. The most recent development made in this area is the open-source cloud gaming system called GamingAnywhere.
The relationship between the CPU and GPU is what is the main object of our concentration in this thesis paper. The Graphical Processing Unit (GPU) performance plays a vital role in analyzing the playing experience and enhancement of GamingAnywhere. In this paper, the virtualization of the GPU has been concentrated on and is suggested that the acceleration of this unit using NVIDIA CUDA, is the key for better performance while using GamingAnywhere. After vast research, the technique employed for NVIDIA CUDA has been chosen as gVirtuS.
There is an experimental study conducted to evaluate the feasibility and performance of GPU solutions by VMware in cloud gaming scenarios given by GamingAnywhere. Performance is measured in terms of bitrate, packet loss, jitter and frame rate. Different resolutions of the game are considered in our empirical research and our results show that the frame rate and bitrate have increased with different resolutions, and the usage of NVIDIA CUDA enhanced GPU.
Place, publisher, year, edition, pages
2018. , p. 39
Keywords [en]
Cloud Computing, Cloud Gaming, GPU Acceleration, NVIDIA CUDA, GamingAnywhere
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-16852OAI: oai:DiVA.org:bth-16852DiVA, id: diva2:1238151
Subject / course
ET2580 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Telecommunication Systems
Educational program
ETATX Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems
Presentation
2018-08-29, J0165, BTH College, karlskrona, 13:00 (English)
Supervisors
Examiners
2018-10-252018-08-132018-10-25Bibliographically approved