#Bzflag singleplayer how to#
#Bzflag singleplayer upgrade#

#Bzflag singleplayer how to#

Based on the results of our analysis, we extrapolate player movement patterns as well as network traces, which can be used to study how to improve our current networking technology for online gaming, and to investigate possibilites to replace it by novel networking solutions, such as information-centric networking.Įmerging interactive multimedia applications, such as real-time visualizations, animations, on-line games, virtual reality, and video conferencing have low latency interactions and continuous high resource (e.g., CPU processing and network bandwidth) demands. In this paper, we analyze the Battle Royale game mode of Fortnite as an example for a popular online game with demanding technical requirements with respect to networking. Modern networking solutions of computer games try to take the players' activities as well as geographical closeness of different players in the virtual world into account, in order to achieve a high user satisfaction while keeping the network activity as low as possible. In order to improve the current state-of-the-art technologies, research in the networking field has to be conducted, but is challenging due to the low availability of up-to-date datasets and network traces. Despite the popularity of gaming, the networking part of computer games relies on decade old technologies, which have never been intended to be used for low latency communication and are often the cause for overloaded and crashing game servers during peak hours. The popularity of computer games is enormously high and is still growing every year. The results also show that the interaction latency can be reduced somewhat by sacrificing some degree of visual quality in the end system. The experimental results show that the proposed system can reduce the bandwidth usage and improve the visual quality by utilizing local computing power on the client.

In this article, we propose a framework that addresses the two problems for single-player cloud gaming by using a combination of collaborative rendering, progressive meshes, and 3D image warping techniques. However, there are two main drawbacks to applying cloud technology to 3D interactive multimedia services: (1) high-bandwidth utilization and (2) latency. In short, applying cloud technology to high-end immersive applications has advantages in cost-efficiency and flexibility both for the end users and the service providers. Moreover, cloud systems make it easier for a user to enjoy applications on different platforms, including mobile devices that are usually not powerful enough to run high-end, memory-intensive services.

#Bzflag singleplayer upgrade#

As most of the computational tasks are done on cloud servers, users no longer need to upgrade their hardware as frequently to keep up with the ever-increasing high-end computing requirements of the latest applications. One main reason cloud systems are popular among users is the fact that it relaxes the hardware requirements for high-end interactive visual applications. This work illustrates that high latency systems, such as game streaming services, benefit from utilizing a predictive system.Īpplying cloud technology to 3D interactive multimedia applications is a promising way to provide flexible and cost-efficient online high-bandwidth immersive services to a large population of end users.

Our results show that players achieve significantly higher scores, substantially more hits per shot and associate the game significantly stronger with a positive affect when supported by our ANN. In the study we predicted latency values of 60 ms, 120 ms and 180 ms. To simulate latency in cloud game streaming services, we added 180 ms latency to the game by buffering user inputs. We evaluated our system in a second user study with 96 participants. We trained our network on data of 24 participants who played the game in a first study. We developed a 3D video game and coupled it with the prediction of an ANN. As high latency in video games significantly reduces player performance and game experience, this work investigates if latency can be compensated using ANNs within a live first-person action game.

Previous work indicates that deep learning algorithms such as artificial neural networks (ANN) are able to compensate for latency. Cloud gaming services and remote play offer a wide range of advantages but can inherent a considerable delay between input and action also known as latency.