Node Rewards
The YOM network offers a unique opportunity for node operators to earn passive income by contributing to a decentralized cloud gaming infrastructure. Node rewards are fixed per region, ensuring transparency and predictability, while workload allocation varies based on network demand, time-of-day factors, and your node reputation. This article explores the core principles behind node rewards and the factors affecting workload distribution.
Earnings Distribution Assumptions
Node earnings are estimated based on an assumed 50% workload allocation, meaning nodes are expected to receive work half of their operational time due to demand fluctuations and network balancing efforts.
The earnings distribution follows a Gaussian normal curve, with, assuming no regional modifier:
Average Monthly Earnings: $83 per node.
Lower Bound (-1 SD): $35 per node, reflecting minimal workload assignments.
Upper Bound (+1 SD): $131 per node, representing optimal demand and performance.
This distribution allows node operators to gauge their potential earnings and make informed decisions about scaling their participation.
Getting More Work: Maximizing Workload Allocation
While node rewards are fixed per region, the key to increasing total earnings lies in securing more workload by optimizing several factors that influence allocation. Workload distribution is determined by a combination of demand-driven factors and operator performance metrics.
1. Improving Node Reputation
Your node reputation plays a crucial role in workload allocation. The better your reputation, the higher the chances of receiving consistent work. Reputation is influenced by:
$YRX Accumulation:
The more $YRX tokens you accumulate through active participation and staking, the higher your ranking on the leaderboard, which directly impacts workload priority.
Engaging in community activities and staking $YOM tokens can further enhance reputation scores.
Uptime and Reliability:
Maintaining 99%+ uptime increases the likelihood of receiving work, as stable nodes are preferred for consistent streaming experiences.
If you are running your own self-hosted nodes, ensure that the underlying hardware is optimized to run as many nodes as possible.
Latency and Connection Quality:
Lower ping times and higher bandwidth availability make nodes more attractive to the network’s orchestrator.
Nodes with superior connectivity in high-demand regions receive priority workloads.
2. Targeting High-Demand Periods
Understanding peak gaming hours and adjusting availability accordingly can maximize your workload potential. Key demand periods include:
Evenings and Weekends:
Gaming activity typically spikes during these hours, leading to increased session requests.
Ensuring your node is active during these periods can significantly improve workload allocation.
Region-Specific Peaks:
Different regions have varying gaming patterns based on cultural preferences and time zones.
Deploying nodes in regions with consistent demand can lead to higher session allocations.
3. Node Deployment Options
YOM’s reward model applies regional modifiers to reflect varying advertising revenue potential across different markets. Choosing the right deployment strategy can significantly impact your earnings.
Deployment Options:
Self-Hosting (Plug-and-Play Device or Linux Boot):
Provides full control over node operation and workload optimization.
Requires active monitoring and maintenance to ensure consistent uptime and performance.
Delegation via Node-as-a-Service (NaaS):
Offers flexible deployment with minimal technical involvement.
Allows for easier scaling across multiple regions by leveraging NaaS providers' infrastructure.
However, relying on NaaS providers can introduce risks, especially during periods of low network saturation.
Choosing the Right Region:
Deploy in High-Value Regions:
Some regions offer higher per-session rewards due to greater advertiser interest and spending.
Operators should consider deploying nodes in these regions to maximize profitability.
Balance Across Multiple Locations:
Diversifying node deployment across different regions can help operators mitigate downtime in low-demand areas and capitalize on emerging opportunities.
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