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omo | ||
=== | ||
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[中文](README.zh_CN.md) | ||
# OMO | ||
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A bytecode level program emulator with per-step state proof. | ||
It can be used to generate challenge proof of optimistic rollup. | ||
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**Arch**: MIPS32 version 1 (SYSV) at present, will support more. | ||
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**Arch**: MIPS32 at present, will support more. | ||
**Executable File Format**: ELF 32-bit MSB executable at present. | ||
**OS**: Linux. | ||
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## Features | ||
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1. Crossing hardware platform (Coming soon) | ||
2. Various smart chain virtual machine embed supports | ||
3. Safe execution environment | ||
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## Background | ||
The core idea is derived from [cannon](https://github.com/ethereum-optimism/cannon) and [qiling](https://github.com/qilingframework/qiling). | ||
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### Limitation of Blockchain with Smart Contract | ||
## Development Setup | ||
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The most valuable resource on the chain is gas, because the gas of each block is capped, and the average block-out time | ||
is fixed, so there is actually a limit to the number of computational steps that can be done per unit of time: | ||
To cross compile crates to mips or other targets. | ||
You need: | ||
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`TPS = (Max_Gas/Gas_Per_TXN)/Block-out_Time` | ||
- [rust](https://rustup.rs/) | ||
- [cross](https://github.com/cross-rs/cross). | ||
- Docker: cross needs it. | ||
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Obviously, we need to try to reduce gas per txn. | ||
## Get Started | ||
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The direct way is to package multi txn into one, and that's the core idea of rollup. | ||
The project contains two crates: | ||
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### Optimistic Rollup | ||
- `./omo` is the main entrypoint of the omo emulator. | ||
- `./rust-mips-example` is an example crate. it is configured to build into a linux mips binary, which can be run by `omo`. | ||
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In last section, we've known that we need rollup, but who will take this responsibility, is it safe, how to challenge | ||
the state? | ||
First, we need to compile the `rust-mips-example`: | ||
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First, we need to lock collateralized assets on chain for off-chain execution. Just like what we do in | ||
Bitcoin Lightning Network. | ||
```shell | ||
cd ./rust-mips-example | ||
cross build --target mips-unknown-linux-musl --release -v | ||
# the compiled mips binary will be ./target/mips-unknown-linux-musl/release/rust-mips-example | ||
file target/mips-unknown-linux-musl/release/rust-mips-example | ||
``` | ||
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Then, the verifier could be elected from community or DApp organization who deserves to be trusted. We are optimistic | ||
that the chances of them doing evil are low because there is no obvious benefit. | ||
then we use the omo to run this `target/mips-unknown-linux-musl/release/rust-mips-example` | ||
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The verifier provides abilities of persisting states on local for executing txn. What's more, we could set breakpoint | ||
for finding wrong txn if there is one in challenge process. | ||
```shell | ||
cd ./omo | ||
cargo run -- --config config.toml.example --env E1=a --env E2=b ../rust-mips-example/target/mips-unknown-linux-musl/release/rust-mips-example E1 E2 | ||
``` | ||
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In one word, Optimistic Rollup is a collateral-based off-chain solution to achieve scalability. | ||
it will output: | ||
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### Question: Is there any other way to improve TPS safely? | ||
``` | ||
Run ../rust-mips-example/target/mips-unknown-linux-musl/release/rust-mips-example | ||
E1=a | ||
E2=b | ||
``` | ||
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Yes! But OMO is just focused on Optimistic Rollup. | ||
## Other resources | ||
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## Acknowledge | ||
[intro to omo - part1](./docs/intro-to-omo-part1.zh.md) | ||
[prototype of move layer2 using cannon](./docs/prototype_of_cannon_in_move.zh.md) | ||
[background of layer2](./docs/background.md) | ||
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Inspired by [qiling](https://github.com/qilingframework/qiling). | ||
## License | ||
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Apache License 2.0 |
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## Background | ||
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### Limitation of Blockchain with Smart Contract | ||
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The most valuable resource on the chain is gas, because the gas of each block is capped, and the average block-out time | ||
is fixed, so there is actually a limit to the number of computational steps that can be done per unit of time: | ||
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||
`TPS = (Max_Gas/Gas_Per_TXN)/Block-out_Time` | ||
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||
Obviously, we need to try to reduce gas per txn. | ||
|
||
The direct way is to package multi txn into one, and that's the core idea of rollup. | ||
|
||
### Optimistic Rollup | ||
|
||
In last section, we've known that we need rollup, but who will take this responsibility, is it safe, how to challenge | ||
the state? | ||
|
||
First, we need to lock collateralized assets on chain for off-chain execution. Just like what we do in | ||
Bitcoin Lightning Network. | ||
|
||
Then, the verifier could be elected from community or DApp organization who deserves to be trusted. We are optimistic | ||
that the chances of them doing evil are low because there is no obvious benefit. | ||
|
||
The verifier provides abilities of persisting states on local for executing txn. What's more, we could set breakpoint | ||
for finding wrong txn if there is one in challenge process. | ||
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||
In one word, Optimistic Rollup is a collateral-based off-chain solution to achieve scalability. |
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# OMO 介绍 - Part 1 | ||
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## 背景 | ||
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随着链上交易量增多,layer2 成为解决扩容问题的一个重要研究领域,其中 optimistic rollup 这一方向已经有了落地的解决方案,比如 arbitrum(后称 arb),optimism(后称 op)。 | ||
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arb 和 op(最新实现的 cannon) 都采用了交互式的链上仲裁技术。交互式的意思是,挑战者在一层不断的挑战出块者在执行区块时产生的中间状态,直到双方在某一个中间指令的执行结果上出现分歧,抑或是最终没有分歧。这种仲裁手段要求 layer2 的虚拟机能够保存执行区块过程中产生的中间状态的证明,抑或是能够在某次指令执行时进行中断,并保存当前状态的证明。 | ||
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因为不同的optimistic rollup 解决方案可能使用了不同的虚拟机,比如, arbitrum 自己研发了 AVM。为了生成中间状态证明,不同的虚拟机可能需要定制自己的状态证明技术,且通用性比较差。虽然 optimistic rollup 的技术原理基本上都是一样的,但现如今,公链多点开花,应用也百花齐放,智能合约语言也呈快速演进趋势,为某个公链 X 实现基于某种智能合约语言 Y 的 optimistic rollup,仍然需要在工程中付出很多重复性的工作。 | ||
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基于此,我们试图实现一个通用的可验证的合约执行环境。该环境基于 Linux 系统,可模拟不同 CPU 指令架构的代码执行,并生成对应的中间状态(寄存器+内存数据)以及状态证明。整体思路受 cannon 的启发,并借鉴了 qiling 框架的部分实现。 | ||
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和 qiling 不同的是,区块链中的合约执行环境相对简单,没有 IO 等复杂的外部交互,也无需考虑系统安全性。另外,qiling 缺少中间状态生成以及状态证明,这是做交互式仲裁所必须的功能之一。 | ||
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我们把这个合约执行环境称作 OMO。 | ||
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## 主要构件 | ||
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OMO 主要由以下几个组件构成: | ||
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- 执行环境。对 unicorn 封装后的数据结构,提供了代码执行中对内存和寄存器的操作接口。 | ||
- 加载器。用来加载代码数据到执行环境中。目前主要支持 ELF 的加载。 | ||
- 寄存器和数据栈。主要便于接口抽象。 | ||
- 系统接口。主要实现了 linux 下的 syscall。 | ||
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## 执行环境 | ||
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unicorn 是底层用来真正执行代码的工具库。我们利用其中的数据结构加上抽闲所需要的额外结构 `Machine<A>` 来代表整个执行环境,也就是运行中所需要的数据。 | ||
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其中 `Machine<A>` 包含了两部分信息: | ||
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- `memories: MemoryManager` 用来管理运行时内存分配的信息。 | ||
- `arch: A` 代表了底层的CPU 架构信息,这里通过范型表示。目前实现了 MIPS 架构的 arch,其他 CPU 指令集比如 riscv 也可以比较容易的扩展进去。 | ||
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```rust | ||
pub type Engine<'a, A> = Unicorn<'a, Machine<A>>; | ||
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#[derive(Debug)] | ||
pub struct Machine<A> { | ||
pub(crate) memories: MemoryManager, | ||
arch: A, | ||
} | ||
``` | ||
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## Code Loader | ||
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代码加载器目前支持了 ELF loader。其完整模拟了 linux 下 elf 代码的加载过程:[How programs get run: ELF binaries](https://lwn.net/Articles/631631/) 。 | ||
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其主要实现: | ||
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- 解析出代码和数据段,加载进内存。 | ||
- 初始化代码的入参,以及环境变量。 | ||
- 初始化栈指针以及程序计数器(即代码入口)。 | ||
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完整加载后,整个程序即处于可运行状态。 | ||
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## Register and Stack | ||
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底层 Unicorn 库只提供了通用的读写内存和寄存器的的接口。 | ||
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在此之上, OMO 提供了关于栈的抽象,以及更高级的寄存器和内存操作。 | ||
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具体接口如下(随着项目演化,可能会略有变动)。 | ||
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```rust | ||
pub trait Registers { | ||
fn read(&self, reg: impl Into<i32>) -> Result<u64, uc_error>; | ||
fn write(&mut self, reg: impl Into<i32>, value: u64) -> Result<(), uc_error>; | ||
fn pc(&self) -> Result<u64, uc_error>; | ||
fn set_pc(&mut self, value: u64) -> Result<(), uc_error>; | ||
} | ||
pub trait StackRegister { | ||
fn sp(&self) -> Result<u64, uc_error>; | ||
fn set_sp(&mut self, value: u64) -> Result<(), uc_error>; | ||
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/// increment stack pointer by `delta`. | ||
/// Return new stack pointer | ||
fn incr_sp(&mut self, delta: i64) -> Result<u64, uc_error> { | ||
let cur = self.sp()?; | ||
let new_sp = cur.checked_add_signed(delta).ok_or(uc_error::EXCEPTION)?; | ||
self.set_sp(new_sp)?; | ||
Ok(new_sp) | ||
} | ||
} | ||
``` | ||
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```rust | ||
pub trait Memory { | ||
fn pagesize(&self) -> u64 { | ||
PAGE_SIZE as u64 | ||
} | ||
fn mem_map(&mut self, region: MemRegion, info: Option<String>) -> Result<(), uc_error>; | ||
fn mprotect(&mut self, addr: u64, size: usize, perm: Permission) -> Result<(), uc_error>; | ||
fn mem_unmap(&mut self, addr: u64, size: usize) -> Result<(), uc_error>; | ||
fn is_mapped(&self, addr: u64, size: usize) -> Result<bool, uc_error>; | ||
fn read(&self, addr: u64, size: usize) -> Result<Vec<u8>, uc_error>; | ||
fn read_ptr(&self, address: u64, pointersize: Option<PointerSizeT>) -> Result<u64, uc_error>; | ||
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fn write(&mut self, address: u64, bytes: impl AsRef<[u8]>) -> Result<(), uc_error>; | ||
fn write_ptr( | ||
&mut self, | ||
address: u64, | ||
value: u64, | ||
pointersize: Option<PointerSizeT>, | ||
) -> Result<(), uc_error>; | ||
} | ||
``` | ||
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这些接口是直接实现在 ExecEnv 数据结构上。 | ||
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pc,sp 等寄存器的地址和 CPU 指令架构相关,所以 ExecEnv 中有关于 arch 抽象的信息。 | ||
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## System Call | ||
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要运行的代码依赖 linux 下的各种系统调用。OMO 需要从底层模拟这些系统接口,并保证接口调用是幂等的。 | ||
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linux 的系统调用比较多,目前在一一梳理和实现 https://github.com/starcoinorg/omo/issues/6。 | ||
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不过运行 hello world 所需要的系统调用已经完成。有兴趣的朋友可以参考 [https://github.com/starcoinorg/omo/tree/main/rust-mips-example](https://github.com/starcoinorg/omo/tree/main/rust-mips-example) 这个例子来运行。 | ||
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本文主要介绍了 omo 项目的背景和实现中的几个核心组件,希望能够帮助读者了解 omo。 | ||
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下一篇,我们会介绍如何生成中间状态及其状态证明。 |
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