Khaosan Network

Bitkub Chain Testnet: Khaosan Network

The Khaosan Network is the testnet environment for the Bitkub Chain, created to facilitate developers and users in experimenting with decentralized applications (dApps), smart contracts, and other blockchain-based solutions. The Khaosan Network allows for testing without incurring real-world costs or risks, ensuring a safe and efficient development process.

https://khaosan.bkcscan.com/

Key Features

  1. High Transaction Throughput: The Khaosan Network is optimized to handle a large number of transactions, with the capability to process up to 25,000 transactions per block, ensuring that developers can simulate high-volume transaction environments and test their applications under real-world load conditions.

  2. Separate from Bitkub Chain Testnet: The Khaosan Network operates independently from the main Bitkub Chain Testnet, having been created using a snapshot of data from the mainnet taken on August 19, 2024, at 12:00 PM (UTC). This snapshot preserves the state of the blockchain as of that date, providing a stable foundation for testing while reflecting real-world conditions.

  3. Blockchain Infrastructure: Like the Bitkub Chain Network, the Khaosan Network uses a decentralized, distributed ledger based on the Proof of Stake (PoS) consensus mechanism. This makes it highly secure, scalable, and efficient, while maintaining integrity and reliability.

  4. No Real Value Transactions: All tokens and assets in the Khaosan Network have no real-world value, allowing developers to test transactions, smart contracts, and token interactions without financial consequences.

Use Cases:

  1. Simulating high-volume transactions (up to 25,000 transactions/block)

  2. Experimenting with token standards (e.g., KAP-20)

  3. Developing DeFi protocols and NFT platforms

  4. Testing decentralized applications (dApps)


** Disclaimer: The Khaosan Network may not have 100% availability, as it is a lab environment intended for testing and development purposes. Downtime or interruptions may occur as part of ongoing improvements and experimentation.

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