Facebook, Inc.

Meta Platforms, Inc.

Circle Internet Financial Limited

Benjamin D Maurer

Samuel Howard Blackshear

Qinfan Wu

Kevin Christian Casey

Nathan Paul Schloss

Dmitri Perelman

Andrey Sukhachev

Nicholas John Gavalas

Kevin Patrick Hurley

Killian Murphy

Bhuwan Bhushan Khattar

Avery Li Kuang Ching

Douglas Armstrong

Luis Miguel Fonseca Dos Reis

Paul Van Slembrouck

Kevin Hurley

Noam Lerner

Pieter David Vanderwerff

Eliyahu Pozniansky

Mathieu Jp Baudet

François Garillot

Kian Win Ong

Zekun Li

Georges Danezis

Alistair Pott

Timothy Andrew Kenneth Zakian

Helga Gudmundsdottir

David McCabe

The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or 'smart contracts'), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Scalable, secure, efficient, and adaptable distributed digital ledger transaction network

Distributed digital ledger transaction network for flexible, lazy deletion of data stored within an authenticated data structure

Various of the present embodiments convert structured data to a channel-based representation facilitating pattern recognition by a compression utility. The channels may include a key channel, a number channel, a type channel, a length channel, etc. These channels reflect the same information as the structured data, but reorganized based upon the structured data's hierarchic structure. The encoder and decoder may include rule sets specifying the relations between the channels to deconstruct/construct the JSON file. Memoization, length encoding, and type encoding extensions may also be applied as part of the encoding/decoding process to further improve compression.

Compressing and transmitting structured information

Systems, methods, and non-transitory computer-readable media can receive a client request from a requesting user. The client request is associated with a web page. A static resource file identifier and a version identifier are determined based on the client request. A response to the client request is generated based on the static resource file identifier and the version identifier.

Systems and methods for updating web pages using static resource version pinning

The disclosed computer-implemented method may include (1) receiving a set of control performance values and a set of modified performance values, (2) determining a set of comparative performance values based on the set of control performance values and the set of modified performance values, (3) generating a call graph based on the set of comparative performance values, the call graph including a set of nodes, each node corresponding to a function, the function corresponding to a particular comparative performance value included in the set of comparative performance values, and (b) a set of edges connecting the nodes based on relationships between the nodes, (4) weighting each node in accordance with the comparative performance value corresponding to the node, and (5) displaying the call graph via a user interface in accordance with the weighting of each node. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for evaluating application performance changes via comparative call graphs

Growing community of inventors

San Francisco, CA, United States of America

Benjamin D Maurer