Collaborative 3D digital content creation exploiting a Grid network

Abstract

The increase in ease of the production of computer simulated graphics has opened new opportunities in the 3D industry. There are unlimited applications for the delivery of 3D Graphics especially concerning 3D multimedia presentation of digital content. Apart from aesthetic and entertaining reasons, experts apply computer simulations to visualize environments and to identify early errors or costs in order to limit the need of making real prototypes. Thus, 3D Graphics also minimize the time required for developing the final product. Existing 3D applications give partial support to users to engage in collaborative contribution for the production of a 3D model. However, when 3D artists are required to collaboratively produce a high quality 3D model based on thousands of polygons, they have to integrate the different parts of the model when the modelling process has been completed, which is a slow tedious process. This paper investigates how to dynamically and simultaneously apply changes to the same 3D model based on a collaborative network exploiting a Grid infrastructure.

Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services

“…A render node is nothing but the individual computer in the cluster in which the animation scene file that is split into individual frames is rendered in a distributed manner at the same time. In order to reduce the rendering time, new technologies like grid [1][2][3][4][5] and cloud computing were also explored [6][7][8][9][10] and found to be fruitful. Among cloud services, the PaaS type of cloud renderfarm services model is gaining popularity.…”