How is data consistency important to parallel blockchain？
Blockchain is destined to become parallel
This can be seen
From the Lightning network of Bitcoin
Caspar dynamic sharding of Ethereum
As well as the main chain + side chain structure of Cosmos and Poca
But why have these famous public chain
Still made no progress on the road to parallel blockchain?
The answer may not be as explosive as you think.
It is called: data consistency
To be specific
The time consistency of between parallel chains
What is data consistency?
Why is it so important ?
Going back to the blockchain technology itself.
Blockchain technology is not a single technology
It contains multiple elements such as distributed ledger, encryption, timestamp, etc.
Time is a very important ,but less mentioned dimension
Because there is a consistent transaction record with transaction time
The money spent yesterday
Can be avoided to be spent again today
I.e. Double Spending
Solving this problem is
The basis of decentralized trading
In a traditional sequential single chain
Blocks are in series
Data structure are with forward and backward k dependencies
To ensure the order of time
However in a parallel system
Because multiple sub-chains coexist
Each sub-chain has its own time transaction record
If you can’t synchronize the data between the books
There will be someone from A-chain trying to use yesterday’s “old ticket”
To board the today’s ship on B-chain
That’s a double spending problem
Think about how mechanical clock
Influenced industrial revolution
Even more than how the steamer did.
The mechanical clock
Let people have a unified time scale
Can work together on a global scale
The data consistency
In the parallel blockchain system
Is like mechanical clock
So how do you achieve data consistency between subchains in a parallel chain system?
A lot of star parallel chain projects.
Did not solve the issue
It is also the core breakthrough of Paralism.
We need to know that
PoB – the Proof of Buddy consensus
PoB consensus is a Buddy consensus algorithm with mathematical difficulty
The principle of using parallel chain nodes for peer-to-peer mutual authentication
Extend local consensus to a global consensus in the superblock phase
No matter the status of all nodes is consistent at a certain moment
When it comes to the global consensus stage is the moment for super block
All nodes of the entire system will be synchronized to reach data consistency 9.
Plus PoW is used to verify the consensus participant’s power conditions
And the cumulative difficulty of consensus from other sub-chains in the business layer
Can help to reinforce the quality of the data on the chain
Highly reliable in terms of parallel consistency across the entire data structure
Through the hyper block structure and the reciprocal verification consensus algorithm
Paralism gives each parallel subchain
Unlimited scalability and cross-chain functionality
As well as the stability as if running on a public chain of Bitcoin
Get on Paralism
Connect with parallel chains!