scispace - formally typeset
Y

Yacov Manevich

Researcher at IBM

Publications -  23
Citations -  3544

Yacov Manevich is an academic researcher from IBM. The author has contributed to research in topics: Distributed operating system & Computer science. The author has an hindex of 7, co-authored 20 publications receiving 2036 citations.

Papers
More filters
Proceedings ArticleDOI

Hyperledger fabric: a distributed operating system for permissioned blockchains

TL;DR: This paper describes Fabric, its architecture, the rationale behind various design decisions, its most prominent implementation aspects, as well as its distributed application programming model, and shows that Fabric achieves end-to-end throughput of more than 3500 transactions per second in certain popular deployment configurations.
Proceedings ArticleDOI

Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains.

TL;DR: The Fabric project as mentioned in this paper is a permissioned blockchain system for distributed applications written in standard, general-purpose programming languages, without systemic dependency on a native cryptocurrency, which allows the system to be tailored to particular use cases and trust models.
Proceedings ArticleDOI

A Byzantine Fault-Tolerant Consensus Library for Hyperledger Fabric

TL;DR: In this article, the authors describe the design and implementation of a Byzantine Fault-Tolerant (BFT) ordering service for Fabric, employing a new BFT consensus library.
Journal ArticleDOI

Endorsement in Hyperledger Fabric via service discovery

TL;DR: A new feature called service discovery, presented in this paper, provides APIs that allow dynamic discovery of the configuration required for the client SDK to interact with the HLF platform, which enables the client to rapidly adapt to changes in the platform, thus improving the reliability of the application layer and making the HLf platform more consumable.
Proceedings ArticleDOI

Scalable communication middleware for permissioned distributed ledgers

TL;DR: This work states that popular peer-to-peer DLTs based on proof-of-work consensus can only improve the transaction throughput by degrading their security and consistency guarantees, which is unacceptable in the enterprise and mission-critical settings.