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Scalability has been and will continue to be one of the biggest problems for most existing blockchain technologies. There are various projects that are currently having a crack at solving the whole scalability issue through various innovative methods like moving information off-chain, Aeternity being a prime example in this case.
Zilliqa is another, very relevant project that aims to tackle the problem of scalability by revolutionizing the technology behind sharding. It does so by implementing a sharding solution that scales with the network’s size via a method called linear scaling.
This means that, at least in theory, there’s no limit to the number of transactions that the platform could process per second. Also worth knowing is the fact that Zilliqa aims to support smart contracts, even though this mission is very challenging on a sharded network.
As mentioned before, moving data off-chain is one way to partially fix the whole scalability problem. Another technique involves increasing the block size. However, one of Zilliqa’s inventive tactics involves using a state-of-the-art consensus protocol that grows the network’s output with every 600 new nodes that join. The goal is ensuring that consensus speed and network size are confidently interrelated in a beneficial way.
Every new 600 nodes, the platform’s throughput threshold is increased. This method does not come without certain drawbacks; as various broadcast-related problems might occur if the network grows to over 1 million nodes. However, there’s still a long way to go until Zilliqa will reach that level since other, more popular blockchain platforms like Bitcoin and Ethereum only have around 36.000 nodes combined.
Zilliqa’s take on sharding explained
At the time of writing, Zilliqa was still actively testing on Testnet, showing promising results. The network displayed a throughput of 1218 tx/s when 1800 nodes were in function. Increasing the number of nodes to 3600 results in a network scale of 2488 tx/s. When operating with 1800 nodes, the Testnet divides itself into 3 shards. Similarly, at 3600 active nodes, the Testnet network is divided into 6 shards.
These shards are each accountable for processing a fractional portion of the network’s transactions. The mining nodes are divided into groups of 600. The more shards there are, the more the consensus load is divided between them.
Each shard has a transaction assigned into a micro block, alongside other shards. “DS epoch” is the end of the aforementioned parallel processing period. DS epoch is when these micro blocks are combined into a full block and subsequently added to the blockchain
Sharding transactions” means assigning transaction verifications to various shards. Zilliqa contracts don’t allow for checking, storing, and changing states; however, they are more focused on functional programming and data flow.
This makes Zilliqa a very suitable platform for any dApp that may require transaction rates and a higher throughput over what other blockchains can offer. Even though other blockchain projects are working on implementing state sharding solutions, there’s still work to be done in this area.
Scilla – a bespoke programming language for Zilliqa
The team behind Zilliqa has created a new programming language: Scilla. The programming language separates state and function, drawing a clear distinction between functional contracts and state-independent contracts (unsupported by Zilliqa).
Unfortunately, the new language does not support apps that require special types of conditional statements or loops. One of the language’s main goals is to ensure that the programming becomes more secure. It does so by allowing users to prove contracts, meaning that they are provided with accessible verification options before using them.
Zilliqa’s team is comprised of highly educated people with computer science PhDs. Team members include Xinshu Dong, the platform’s CEO, Prateek Saxena – chief scientific advisor, Yaoqi Jia – head of technology, Amrit Kumar – head of research, Ong En Hui – head of business development, as well as other strategists, marketing leads, core developers, and typical developers.
The CEO, Xinshu Dong is well-versed in cybersecurity with numerous appearances at respectable conferences. He also has various Singapore national security projects under his belt.
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