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Appl. Sci. 2021, 11, 9372 17 of 27 every stage of transaction. The threshold on the number of nodes (participants) may also be a crucial issue. 7.3. Block Size Typically, the size of one block is around 1 MB in Bitcoin [5,118]. This is considered very small and limits the number of transactions that can be stored. It is apparent that large block size is able to accumulate more transactions and directly increase the through- put and lower the latency [5], but the larger block would prompt an increase in block propagation time because heavier block needs more time to be transmitted over the net- work. In addition, handling more transactions in one block would demand more compu- tational resources [118]. 7.4. Computational Cost/Energy This implies the total cost associated in verifying a transaction [119]. It includes the required amount of bandwidth in block propagation and, most importantly, the mining process. The mining process is associated with the consensus mechanism in the permis- sionless blockchain. Bitcoin uses PoW consensus mechanism that the mining process re- quires specialized hardware to mine a block. The special high-end hardware consumes more energy, and as a whole this higher energy consumption means more computation cost [117] , which in return may impinge on the implementation scale of a public block- chain. 7.5. Transaction Cost Transaction fee plays a vital role in public blockchains, i.e., Bitcoin. Miner tends to make selection of the transactions to be verified based on the fee associated with it. This directly affects the confirmation time of a transaction, thus influencing the throughput and latency. The transaction with a small fee may suffer massive confirmation delays, and this logically happens because the consensus mechanism promises to reward miners based on the associated fee in a transaction. 7.6. Storage Public blockchain storage is another essential factor to be seriously considered in the context of scalability. Public blockchain storage requirement grows in tandem with the increasing number of nodes and transactions [5]. As such, full nodes that store complete block data demand high storage capacity. Moreover, high storage requirements can be relieved by increasing partial nodes in public blockchains [35]. Although partial nodes do not store the whole blockchain, they may considerably increase the workload. Through- put would therefore be affected, and addressing high storage requirements is non-trivial. 8. RQ3: How Researchers Address the Scalability Issue in Blockchain? Some significant solutions to public blockchains scalability are discussed in this sec- tion based on the literature reviewed. Scalability challenges are also mentioned in this discussion. At macro level, researchers have attempted to address this issue in two ways: on-chain or off-chain. On-chain solutions tend to address scalability issues by working on elements within the blockchain, whereas off-chain prefers to process transactions outside of the chain. Along with these classifications, there are several application-based solutions designed to achieve the required scalability. For example, DAG [120] and NormaChain [86] for IoT, BlockTrail [40] for auditing, e-commerce EBCM [86,109] and supply chain [55].PDF Image | Review of Challenges in Blockchain Scalability
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