Staying abreast with the fast-paced demand surge towards distributed consensus systems has become one of the global trends in the fields of science and engineering. The blockchain technology, its consensus protocols, communication methods, and architectural approaches are prevalent in trustless transactional systems. In that context, one of the key obstacles faced by engineers and interaction peers is the limited scalability capacity entailed with these systems due to consistency and reliability requirements. Modern blockchain systems introduce complexities related to the storage space management, transaction execution latencies, and, in general, the throughput of operations, which stifles the widespread integration of decentralized systems in day-to-day activities. In order to circumvent these limitations, a plethora of inter-chain communication protocols, sharding strategies, and capacity extension methods are being actively developed by both scientific and engineering communities to mitigate initial logical limitations of the proposed consensus technology. Nonetheless, the developed solutions are associated with limitations of their own, often converging to a bottlenecked point
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