Comparative analysis of permissioned blockchain frameworks for industrial applications

Blockchain is a technology that creates trust among non-trusting parties, without relying on any intermediary. Consequently, it has attracted the interest of companies operating in a multitude of sectors. However, due to the number of different blockchain solutions that have emerged in the last few years and their rapid changes, it is challenging for such companies to orient their technological decisions. This paper presents a comparative analysis of the key dimensions—namely, governance, maturity, support, latency, privacy, interoperability, flexibility, efficiency, resiliency, and scalability—of some of the most-used permissioned blockchain platforms. Moreover, we present the results of a performance evaluation considering the following frameworks: Hyperledger Fabric 2.2, Hyperledger Sawtooth 1.2, and ConsenSys Quorum 21.1 (with both the GoQuorum client and the Hyperledger Besu client). The platforms were tested under similar conditions, and official releases were used, such that our findings provide a reference for companies establishing their technological orientation

The DLPS: A New Framework for Benchmarking Blockchains

Distributed Ledger Technologies (DLT) promise to revolutionize business ecosystems by permitting secure transactions without intermediaries. A widely recognized challenge that inhibits the uptake of DLT is scalability and performance. Hence, quantifying key metrics such as throughput and latency is crucial for designing DLT-based infrastructures, applications, and ecosystems. However, current benchmarking frameworks for blockchains do not cover the whole benchmarking process; impeding transparent comparisons of different DLT networks. In this paper, we present the Distributed Ledger Performance Scan (DLPS), an open-source framework for end-to-end performance characterizations of blockchains, addressing the need to transparently and automatically evaluate the performance of highly customizable configurations. We describe our new framework and argue that it significantly improves existing DLT benchmarking solutions. To demonstrate the capabilities of the DLPS, we also summarize the main results obtained from a series of experiments that we have conducted with it, giving a first comprehensive comparison of essential scalability properties of several commonly used enterprise blockchains

Decision Analytics Using Permissioned Blockchain “Commledger”

The advent of Blockchain has introduced a paradigm shift in the area of Scientific Computing. The decision analytics embodiment in current technology fabric has introduced a need of incorporating Blockchain with industrial technology ecosystem. The utilization of Blockchain has introduced gaps in terms of standard business processes, while the data is being processed using the concept of traditional RDBMS and NoSQL data formats. The lag of permissioned and permissionless Blockchain is the problem area which is dealt with in this doctoral dissertation to provide a Proof of Permission (PoP) protocol for any organization or entity to tailor according to their environmental constraints. There has been a need of an opensource protocol that organizations can customize according to their needs, which is not bound of using only REST interactions. The research presented in this thesis provides such a solution for the industry. The provided propositions are the use of Tiered Asynchronous Locking Algorithm (TALA) to generate a key for securing an Authenticated Data Acceptance Marker (ADAM) block for a permissioned Blockchain Community Ledger (CommLedger)

A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities

This is an accepted manuscript of an article published by Elsevier in Computers and Security, available online: https://doi.org/10.1016/j.cose.2020.102078 The accepted version of the publication may differ from the final published version.Blockchain-based platforms, particularly those based on permissioned blockchain, are increasingly popular in a broad range of settings. In addition to security and privacy concerns, organizations seeking to implement such platforms also need to consider performance, especially in latency- or delay-sensitive applications. Performance is generally less studied in comparison to security and privacy, and therefore in this paper we survey existing empirical performance evaluations of different permissioned blockchain platforms published between 2015 and 2019, using a comparative framework. The framework comprises ten criteria. We then conclude the paper with a number of potential future research directions.Published versio