Performance Evaluation of Gaming Anywhere Server in a Virtual Environment
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
In the recent years, cloud services are dominating the internet world. Streaming video content is drastically increased. This trend created a way for the cloud gaming industry. Gaming Anywhere is one such an open source cloud gaming system designed specifically for gaming users to experience high-quality gaming while eliminating the burden of upgrading hardware or software whenever the gaming system becomes outdated. Gaming Anywhere client can stream the desired game from a remote server with high-quality resolution and fps. Gaming Anywhere launches almost all type of games as per the request of the client.
In this paper, the performance of a Gaming Anywhere server is evaluated in a virtual windows environment. Performance is categorically divided into two types. One is server metrics and the other is power consumption. Server metrics deals with CPU utilization, GPU utilization and multi-player capability. Power consumption deals with the CPU power usage of a virtual machine. The main aim of this paper is to conduct measurement studies on Gaming Anywhere server in two virtual implementation kits, VMware and VirtualBox, using monitoring tools. The analysis of the outcome is evaluated against the Gaming Anywhere physical server.
Place, publisher, year, edition, pages
2018. , p. 26
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140
Keywords [en]
Cloud Gaming, Gaming Anywhere, Multiplayer capability, Server performance
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-17169OAI: oai:DiVA.org:bth-17169DiVA, id: diva2:1258869
Subject / course
ET2580 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Telecommunication Systems
Educational program
ETATE Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems
Presentation
2018-05-28, 17:00 (English)
Supervisors
Examiners
2018-10-262018-10-252018-10-26Bibliographically approved