  Increasing popularity of trading digital assets can lead to significant
delays in Blockchain networks when processing transactions. When transaction
fees become miners' primary revenue, an imbalance in reward may lead to miners
adopting deviant mining strategies. Scaling the block capacity is one of the
potential approaches to alleviate the problem. To address this issue, this
paper reviews and evaluates six state-of-the-art compression protocols for
Blockchains. Specifically, we designed a Monte Carlo simulation to simulate two
of the six protocols to observe their compression performance under larger
block capacities. Furthermore, extensive simulation experiments were conducted
to observe the mining behaviour when the block capacity is increased.
Experimental results reveal an interesting trade-off between volatility and
scalability. When the throughput is higher than a critical point, it worsens
the volatility and threatens Blockchain security. In the experiments, we
further analyzed the relationship between volatility and scalability properties
with respect to the distribution of transaction values. Based on the analysis
results, we proposed the recommended maximum block size for each protocol. At
last, we discuss the further improvement of the compression protocols.
