🔗Upstream Bandwidth Rewards
Upstream bandwidth rewards
The assessment and calculation of upstream bandwidth rewards are made according to the size of the upload bandwidth (as measured by the L1 verification node) and the node's NAT type within each vertification window.
The calculation
:The bandwidth rewards
:The bandwidth rating
:The NAT Rating
:The growth factor of network stability
:The online Factor
The Bandwidth Rating
The bandwidth ratingis a crucial evaluation metric used in the Titan network's testnet to assess and reward nodes for their provided upload bandwidth. This scoring standard aims to incentivize nodes to offer high-quality network resources while considering the effective utilization of resources and the overall network demand. Below are the specific calculation methods and related rules for the bandwidth score:
计算方式:
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:represents the bandwidth rating,represents the measured upload bandwidth.
Reward Cap
For the Huygens testnet, there is a reward cap set for the upstream bandwidth set at. Even if a node's upload bandwidth surpasses , the calculation for rewards will only account for the bandwidth up to .
Edge Idle Resource Reward System
Reward system for idle resources at the edge Focus on edge idle resources: The testnet is particularly focused on the effective use of edge idle resources, and aims to incentivize the use of these resources by setting resource reward intervals.
No additional rewards for resources outside the set range: To promote the efficient and fair use of resources, no o additional rewards will be awarded for resources that exceed the set reward range of the testnet.
Example:
As a result of the reward cap, even if a node's upload bandwidth is,onlyof bandwidth will be used to calculate rewards. This means that the portion exceeding 200Mbps will not bring additional credits to the node. By levying these scoring rules and reward mechanisms ,s, the Titan Network aims to encourage nodes to provide reliable and efficient upload bandwidth while ensuring the fair allocation and utilization of network resources, especially for idle resources at the edge. This helps to improve the overall performance of the network and user experience.
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