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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

SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain

TL;DR: SklCoin this article is a new Byzantine consensus protocol and its corresponding software architecture, which leverages two ideas: 1) the proof-of-stake concept to dynamically form stake proportionate consensus groups that represent block miners (stakeholders), and 2) scalable collective signing to efficiently commit transactions irreversibly.
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The Efficient use of Blockchain for Reducing Frauds in Parental Property Distribution

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Use cases of blockchain technology for humanitarian engineering

TL;DR: The aims of this chapter are to describe the primary building blocks of blockchain technology and illustrate various use-case scenarios of Blockchain technology in the fields of Agriculture, Energy Health and others.
Proceedings ArticleDOI

Source-code divergence diagnosis using constraints and cryptography

TL;DR: A new technique is presented that informs developers of potential architectural-type violations and non-compliance checking in their software system after changes in the source code and suggests using an architecture consistency chain technology (inspired by blockchain) to establish the link/call/chain.

"The Effect of News on Daily Bitcoin Returns A dictionary-based sentiment analysis of market efficiency of the Bitcoin market"

TL;DR: In this article, the effect of news sentiment on Bitcoin price returns, and how this connects with Bitcoins market efficiency, was studied and the most important finding is that negative news sentiment is caused by previous Bitcoin returns and previous news sentiment, both positive and negative.
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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