RUDN mathematicians improve the performance of the blockchain system by 1.5 times

RUDN mathematicians improve the performance of the blockchain system by 1.5 times

RUDN University mathematicians have improved the performance of the blockchain system. The researchers were able to increase the throughput of the system by almost 1.5 times and reduce the delay time. The results are published in computers and industrial engineering.

Newswise — Blockchain technology is considered a promising system that will be widely used from banking to medicine. It is based on a special way of transferring and storing data between member elements. Information is stored as a chain of blocks. A break in a block is immediately noticeable to the entire system. Despite the large number of possible applications, there are several disadvantages that make it difficult to scale up. For example, the calculation of each block can take a long time. As a result, the system throughput decreases and the delay time increases. RUDN mathematicians built a model in which they combined blockchain technology with optimization methods and improved system performance by almost one and a half times.

“Blockchain technology has revolutionized the processing and storage of data in terms of reliability and security. Blockchain made it possible to transfer processing to a decentralized secure platform. It is rightly considered an effective technology of the future that will benefit various industries. The problem that becomes a “bottleneck” for blockchain applications is limited bandwidth, says Ammar Muthanna, PhD, junior researcher at the Scientific Center for Modeling High-tech Systems and Infocommunication Modeling at RUDN University.

Mathematicians have created a system with intelligent traffic management. For this, a hybrid model is used which combines optimization using the so-called particle swarm method and fuzzy logic. The particle swarm method is necessary to find the optimal delay time, sending speed and number of transactions. Fuzzy logic is used to automate traffic control. RUDN University mathematicians tested the model on the service for clinical studies, and then compared the results with other alternatives.

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The system for clinical studies, which was used by mathematicians at RUDN University, consists of five participants – a patient, a research doctor, a coordinator, a researcher and a senior doctor. Each has its own set of functions and data that it must exchange with other participants. The processing of clinical data goes through the blockchain network. The new approach increased network bandwidth and minimized latency. Transaction throughput increased by 38.5% and waiting time reduced by 40.5%. The scope is not limited to the considered service. This model can be applied to other tools that use blockchain technology.

“Latency and throughput are considered the most important performance measures that speak about the efficiency of an information system. The proposed model improved the network by maximizing throughput and minimizing latency. It can be easily integrated into other existing blockchain-based platforms to increase productivity,” says Ammar Muthanna, PhD, junior researcher at the Scientific Center for Modeling High-tech Systems and Infocommunication Modeling at RUDN University.

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