Reputation scores are essential for both creators and node operators because they are central to the resource allocation process on the network. For example, creators with higher reputation scores will have access to more concurrent nodes while rendering. Similarly, node operators with better reputation scores will get jobs assigned faster than mining nodes with lower reputation scores. For example, if the network is not at 100% utilization, nodes with the lowest reputation scores will be last in the queue, incentivizing node operators to build a positive history. Reputations scores also serve as proxies for detecting malicious behavior. For example, if a creator regularly rejects work from a number of nodes with high success rates, these excessive failures will lead to a job being terminated. In such a case, the network will quarantine the job and a creator's reputation score may be negatively impacted. Similarly, if a node repeatedly fails to adequately process frames that are subsequently successfully rendered by another mining node, its reputation score will be negatively impacted, and the node will receive a lower ranking.