Prediction Based Dynamic Load Balancing Model for Distributed Rendering

Rendering of animation is computational intensive errand. Rendering of complex scenes requires high computational power setup. In absence of high end computational setup rendering creates a big challenge for a computer animator to maintain quality of service. In present approach we solve this problem of complex scene rendering using prediction based dynamic load balancing mechanism. This model uses frame as a unit of distribution and does impartial distribution of animation frames among the computational nodes to achieve efficient rendering. Proposed prediction model utilizes Index, Glossiness, Light, width and height as a basic key attributes of rendering frame.