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Comparing DAPPS by Traffic and Volume: A Data-Driven Approach to CryptoCurrency Dapps



Binance is one of the largest cryptocurrency exchanges in the world, responsible for $7.7 trillion crypto exchange volume in 2021. It was founded in 2017 by Changpeng Zhao, who previously worked for Blockchain.info and as CTO of OKCoin.


Although traditional DApps are typically open-source, DApps that are fully closed-source and partially closed-source have emerged as the cryptocurrency industry evolves. As of 2019, only 15.7% of DApps are fully open-source while 25% of DApps are closed source. In other words, the proportion of DApps with publicly available code is less than the proportion of Dapps without publicly available code.[7] DApps that are open-source generally have higher transaction volumes than closed-source DApps.[7]




Comparing DAPPS by Traffic and Volume : CryptoCurrency




Binance, established in 2017, is a platform for trading cryptocurrencies. It is considered one of the largest cryptocurrency exchanges in the world based on its trading volumes. The platform focuses strongly on Altcoins. An altcoin is an alternative digital currency to Bitcoin. It refers to a group of cryptocurrencies, ultimately all the cryptocurrencies other than Bitcoin.


WazirX is an Indian cryptocurrency trading platform that is owned by the global cryptocurrency exchange Binance. WazirX has the highest trading volume compared to any other cryptocurrency exchange in India.


WazirX claims to have a $2.3 billion monthly volume with a registered user base of around 1.75 million. As per CoinMarketCap, WazirX was the 27th top cryptocurrency exchange globally in terms of liquidity, traffic, trading volumes and confidence in the legitimacy of the trading volumes.


WazirrX is an Indian cryptocurrency trading platform that is owned by the global cryptocurrency exchange Binance. WazirX has the highest trading volume compared to any other cryptocurrency exchange in India.


Due to the remote location of the client this approach also efficiently reduces computation and storage requirements set to the local device. The slightly increased computational requirements are related to the signing of transactions, now done locally. It also importantly reduces the communication requirements, just like the architecture with the remote key store. The remaining traffic volumes are comparable to the ones in the remote key store approach, as discussed in Section 4.1. Interestingly, passing raw transactions instead of JSON transaction objects over the HTTP/WS did not result in smaller message sizes, which were expected due to the more efficient RLP encoding. The raw transaction namely includes the signature and transaction hash (not present in JSON transaction object), resulting in messages that in this particular case were about 40B larger.


Further, we analyzed the traffic volumes to pass a transaction from the node to the client. A charger would create such a transaction, e.g., to notify the smart contract about the actual amount of energy consumed during a single charging. We considered two cases; with local key store a transaction is created and signed at the node and serialized in the RLP format. Such raw transactions (Raw Tx) are passed by the client to the Ethereum network. For remote key store the node passes a JSON transaction object to the client, which then signs, serializes, and broadcasts it to the network. The sizes of packets for both cases are shown in Table 5. Both the HTTP and WS communication protocols were applied. There is the web3.js function provided in the table to indicate how the transaction was built.


For one, not all BATMs allow you to purchase bitcoin and sell your bitcoin for cash, so you'll need to find one that does. Secondly, BATMs are nowhere near as quick as a traditional ATM: The time it takes to process and complete your transaction largely depends on traffic volume on the blockchain. 2ff7e9595c


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