An Expert System for Managing the Render Farms in Cloud Data Centers
2024 (English)In: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 220-225Conference paper, Published paper (Refereed)
Abstract [en]
The users of cloud services prioritize cost andperformance, but they increasingly demand sustainable practices.Sustainability is no longer a choice for businesses but a strategicimperative that shapes global industries. This paper presents anew system for utilizing the render farms in cloud data centers.The system aims to reduce energy consumption and costs in clouddata centers while maintaining a specific level of performance,particularly when rendering images and videos. The system canbe described as a cloud-based expert system that offers renderingas a service, while considering user preferences for performance,cost, and energy efficiency. The system reads different scenerendering parameters and accordingly chooses the most suitableGPUs that fit the user’s requirements. In other words, thesystem inputs are the scene complexity and user preferences.The output is the optimal GPU for rendering. Scene complexityis determined based on several parameters, such as the numberof frames and polygons, resulting in one scene-related value.The user preferences are also normalized to a preferences-relatedvalue. Then, these values are aggregated to determine the optimalavailable GPU to render the scene at the lowest cost, minimumpossible energy consumption, and highest performance.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 220-225
Keywords [en]
Cloud computing, data centers, Render farms, Rendering-as-a-Service, Performance, Cost, Energy efficiency
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-69629DOI: 10.1109/rtsi61910.2024.10761659ISBN: 9798350362138 (electronic)ISBN: 9798350362145 (print)OAI: oai:DiVA.org:mdh-69629DiVA, id: diva2:1922068
Conference
2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Milano, Italy, 18-20 September, 2024
2024-12-172024-12-172024-12-17Bibliographically approved