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Open AccessJournal ArticleDOI

Untangling Blockchain: A Data Processing View of Blockchain Systems

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TLDR
This paper conducts a comprehensive evaluation of three major blockchain systems based on BLOCKBENCH, namely Ethereum, Parity, and Hyperledger Fabric, and discusses several research directions for bringing blockchain performance closer to the realm of databases.
Abstract
Blockchain technologies are gaining massive momentum in the last few years. Blockchains are distributed ledgers that enable parties who do not fully trust each other to maintain a set of global states. The parties agree on the existence, values, and histories of the states. As the technology landscape is expanding rapidly, it is both important and challenging to have a firm grasp of what the core technologies have to offer, especially with respect to their data processing capabilities. In this paper, we first survey the state of the art, focusing on private blockchains (in which parties are authenticated). We analyze both in-production and research systems in four dimensions: distributed ledger, cryptography, consensus protocol, and smart contract. We then present BLOCKBENCH, a benchmarking framework for understanding performance of private blockchains against data processing workloads. We conduct a comprehensive evaluation of three major blockchain systems based on BLOCKBENCH, namely Ethereum, Parity, and Hyperledger Fabric. The results demonstrate several trade-offs in the design space, as well as big performance gaps between blockchain and database systems. Drawing from design principles of database systems, we discuss several research directions for bringing blockchain performance closer to the realm of databases.

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Citations
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Proceedings ArticleDOI

State of Public and Private Blockchains: Myths and Reality

TL;DR: The technical aspects of only private blockchain systems will be the focus of the SIGMOD 2019 keynote and will bust many myths associated with public blockchains.
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Toward a Machine Learning and Software Defined Network Approaches to Manage Miners’ Reputation in Blockchain

TL;DR: To detect malicious miners that claim bigger computing capacity, the present work provided a machine learning module to estimate the real miners’ capacities and the efficiency of the proposed trust model is studied, and the obtained simulation results are presented and discussed.
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SHealth: A Blockchain-Based Health System With Smart Contracts Capabilities

TL;DR: Smart-Health (SHealth), a blockchain-based health management system, is presented, a private multi-layered blockchain integrated with a multi-tiered addressing scheme that defines the privileges and permissions of entities in the system.
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The Innovation Research of Contract Farming Financing Mode under the Block Chain Technology

TL;DR: Wang et al. as discussed by the authors built a block chain supported agricultural financing solution for orders based on the analysis of the development status and existing problems of agricultural financing for orders, and the feasibility of innovative financing mode is judged, and corresponding policy Suggestions are put forward to optimize the financing mode of agricultural value chain for the risks existing in the current financing of the value chain.
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References
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Book ChapterDOI

Short Signatures from the Weil Pairing

TL;DR: A short signature scheme based on the Computational Diffie-Hellman assumption on certain elliptic and hyperelliptic curves is introduced, designed for systems where signatures are typed in by a human or signatures are sent over a low-bandwidth channel.
Proceedings ArticleDOI

Practical Byzantine fault tolerance

TL;DR: A new replication algorithm that is able to tolerate Byzantine faults that works in asynchronous environments like the Internet and incorporates several important optimizations that improve the response time of previous algorithms by more than an order of magnitude.
Proceedings ArticleDOI

Benchmarking cloud serving systems with YCSB

TL;DR: This work presents the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems, and defines a core set of benchmarks and reports results for four widely used systems.
Proceedings Article

In search of an understandable consensus algorithm

TL;DR: Raft is a consensus algorithm for managing a replicated log that separates the key elements of consensus, such as leader election, log replication, and safety, and it enforces a stronger degree of coherency to reduce the number of states that must be considered.
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