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# Gemini Tokenomics (Worker Rewards)

This document contains the

*Supply-end Tokenomics*for Phala Network, which defines how workers get their rewards by sharing the computing power.After the approval of the “Gemini Tokenomics upgrade" democratic referendum on the block height #1,467,069, we have updated the content of the Supply-end Tokenomics as follows:

The overall economic design is built to address these points:

- 1.Support Phala Network’s trustless cloud computing architecture
- Consensus-Computation Separation
- Linearly-scalable computing workers (100k order of magnitude number of workers)

- 2.Incentivize workers to join the network
- Ensure payment for power supplied irrespective of demand, especially at network bootstrap
- Subsidize mining pool with 70% of the initial supply over time
- Bitcoin-like budget halving schedule
- Power the Phala and Khala at the same time

- 3.Application pricing
- 4.On-chain performance

The following details some key elements of the economic model.

Phala Supply-end Tokenomics applies to any workers running on Phala or Khala.

- A virtual score for an individual worker representing value earned which is payable in the future, to motivate workers to behave honestly and reliably
- Equal to the expected value of the revenues earned by the worker for providing power for the platform
- Changes dynamically based on the worker’s behaviors and the repayment of Rewards
- Mining honestly:$V$grows gradually over time
- Harmful conduct: punished by reduction of$V$

A Worker will run a

**and stake some tokens to get the initial***Performance Test*$V$

:$V^e = f(R^e, \text{ConfidenceScore}) \times (S + C)$

- $R^e > 1$is a
set by the network (Khala or Phala).*Stake Multiplier* - $S$is the worker stake; a
is required to start mining. The stake can’t be increased or decreased while mining, but can be set higher than the Minimum.*Minimum Stake* - $C$is the estimated cost of the worker rigs, inferred from the
.*Performance Test* - $\text{ConfidenceScore}$is based on the worker’s Intel© SGX capabilities.
- $f(R^e, \text{ConfidenceScore}) = 1 + (\text{ConfidenceScore} \cdot (R^e - 1))$
- $V$is always less than or equals to$V_{max}$.

Params used in simulation:

- $R^e_{\text{Phala}} =R^e_{\text{Khala}} = 1.5$
- $\text{ConfidenceScore}$for different Confidence Levels
- $\text{ConfidenceScore}_{1,2,3} = 1$
- $\text{ConfidenceScore}_{4} = 0.8$
- $\text{ConfidenceScore}_{5} = 0.7$

- $V_{max} = 30000$

A performance test measures how much computation can be done in a unit of time:

$P = \frac{\text{Iterations}}{\Delta t}$

For reference,

Platform | Cores | Score | Approximate Price |
---|---|---|---|

Low-End Celeron | 4 | 450 | $150 |

Intel Xeon E Processor | 6 | 1900 | $500 |

Mid-End i5 10-Gen | 8 | 2000 | $500 |

High-End i9 9-Gen | 10 | 2800 | $790 |

The table is based on the version while writing of this documentation and is subject to changes.

The performance test will be performed:

- 1.
**Before mining**to determine the*Minimum Stake* - 2.
**During mining**to measure the current performance, and to adjust the $V$ increment dynamically

$S_{min}=k \sqrt{P}$

- $P$-
score*Performance Test* - $k$- adjustable multiplier factor

Proposed parameter:

- $k_{\text{Phala}} =k_{\text{Khala}} = 50$

Locked state $PHA token can also be used for mining staking, e.g., Khala Crowdloan reward

$C = \frac{0.3 P}{\phi}$

- $\phi$is the current PHA/USD quote, dynamically updated on-chain via Oracles
- $P$is the initial
score.*Performance Test* - In the early stages, we are compensating the equipment cost$C$with a higher Value Promise.
- In the future, we plan to compensate for higher amortization costs (adding equipment amortization cost to the running costs$c^i$and$c^a$), thus increasing the speed of growth of the Worker’s$V$.

Each individual’s

$V$

is updated at every block:- Increased by$\Delta V_t$if the worker keeps mining
- Decreased by$w(V_t)$if the worker got a payout
- Decreased according to the
if the worker misbehaves*Slash Rules*

When a worker gets a payout

$w(V_t)$

, they will receive the amount immediately in their Phala wallet. The payout follows **and cannot exceed the***Payout Schedule***.***Subsidy Budget*Finally, once the worker decides to stop mining, they will wait for a Cooling Down period $\delta$. They will receive an one-time final payout after the cooldown.

Block number | $t$ | $t+1$ | $\dots$ | $T$ | $\dots$ | $T+\delta$ |
---|---|---|---|---|---|---|

Value Promise | $V_t$ | $V_{t+1}$ | $\dots$ | $V_T$ | $\dots$ | $\dots$ |

Payment | $w(V_t)$ | $w(V_{t+1})$ | $\dots$ | $w(V_T)$ | $0$ | $\kappa \min(V_T, V^e)$ |

| Block reward | … | … | Block reward | Cooling off for $\delta$ blocks | Final payout |

Proposed parameter:

- $\delta = \text{blocks equivalent to 7 days}$

When there’s no payout or slash event:

$\Delta V_t = k_p \cdot \big((\rho^m - 1) V_t + c(s_t) + \gamma(V_t)h(V_t)\big)$

- $ho^m$is the unconditional$V$increment factor for worker
- $c(s_t)$is the operational cost to run the worker
- $\gamma(V_t)h(V_t)$represents a factor to compensate for accidental/unintentional slashing (ignored in simulated charts)
- $k_p = \min(\frac{P_t}{P}, 120\%)$, where$P_t$is the instant performance score, and $P$ is the initial score
- If$V > V_{max}$after the update, it will be capped to$V_{max}$

Proposed parameters:

- $ho^m_{\text{Phala}} =\rho^m_{\text{Khala}} = 1.00020$(hourly)

In order to stay within the subsidy budget, at every block the budget is distributed proportionally based on the current

**:***Worker Shares*$w(V_t) = B \frac{\text{share}}{\Sigma \text{share}}$

where

$B$

is the current network subsidy budget for the given payout period.Whenever

$w(V_t)$

is paid to a worker, his $V$

will be updated accordingly:$\Delta V = -min(w(V_t),V_t-V_\text{last}).$

$V_\text{last}$

is the value promised at the last payout event, or $V^e$

if this is the first payout.The update of V is limited to ensure the payout doesn’t cause$V$to drop lower than it was in the last payout event. The limit is necessary to make sure workers are well incentives to always accumulate credits in the network. Otherwise, workers are incentivized to constantly reset their mining session if V decreases over time.

Share represents how much the worker is paid out from

$V$

. We expect it will approximate the share baseline, but with minor adjustments to reflect the property of the worker:$\text{share}_{\text{Baseline}} = V_t.$

$\Sigma \text{share}$

contains the share of workers which are running on Phala or Khala with the same subsidy ratio.Proposed algorithm:

- $\text{share}_{\text{Khala}} = \sqrt{V_t^2 + (2 P_t \cdot \text{ConfidenceScore})^2}$
- $\text{share}_{\text{Phala}} = \sqrt{V_t^2 + (2 P_t \cdot \text{ConfidenceScore})^2}$
- $P_t$is the instant performance score

Text | Phala / Khala |
---|---|

Relaychain | Polkadot/ Kusama |

Budget for Mining | 700 mln |

Halving Period | 180 days |

Halving Discount | 25% |

Treasure Share | 20% |

First Month Reward | 21.6 mln |

In any block

$t$

, if the Worker’s VRF is smaller than their current Heartbeat Threshold $\gamma(V_t)$

, they must send the Heartbeat transaction to the chain, which will update the on-chain record of their Value Promise and send a Mining Reward $w(V_t)$

to their reward wallet:$\Delta V_t = - w(V_t).$

If they fail to send the Heartbeat transaction to the chain within the challenge window, the update of their value promise will be

$\Delta V_t = - h(V_t).$

and their status is changed to

*unresponsive*, and they will get repeatedly punished until they send a heartbeat, or stop mining. The slash amount$h$

is defined in the **section.***Slash*The target is to process around 20 heartbeat challenges per block. The heartbeat challenge probability

$\gamma(V_t)$

will be adjusted to target this number of challenges.Potential parameters:

- $\text{ChallengeWindow} = 10$(blocks)

The slash rules for workers are defined below. No slash rules have been implemented at the moment but will start in the near future.

Severity | Fault | Punishment |
---|---|---|

Level1 | Worker offline | 0.1% V per hour (deducted block by block) |

Level2 | Good faith with bad result | 1% from V |

Level3 | Malicious intent or mass error | 10% from V |

Level4 | Serious security risk to the system | 100% from V |

When a worker chooses to disconnect from the platform, they send an Exit Transaction and receive their Severance Pay after

$\delta$

blocks.After the cooling down period, the worker gets their final payout, representing the return of the initial stake. However, if

$V_T$

goes lower than the initial $V^e$

, the worker will get less stake returned as a punishment:$w(T + \sigma) = \min(\frac{V_T}{V^e}, 100\%) \cdot S$

where

$S$

is the initial stake.Last modified 5mo ago