Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
-
Updated
Nov 18, 2024 - Java
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
MapReduce, Spark, Java, and Scala for Data Algorithms Book
ScaleCube Cluster is a lightweight Java VM implementation of SWIM: Scalable Weakly-consistent Infection-style Process Group Membership Protocol. features cluster membership, failure detection, and gossip protocol library.
A Simple High Performance Computing Framework for [Federated] Machine Learning
Java library for distributed zero knowledge proof systems
Multi-platform Scheduling and Workflows Engine
Example codes for my Distributed Computing course at Hefei University.
COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.
ProActive Programming library
Distributed, workflow-driven integration environment
Algorithms for implementation of Clock Synchronization, Consistency, Mutual Exclusion, Leader Election
Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.
The open source grid computing solution
A modern, cloud-native distributed computing system
Java implementation of K-Sortable Globally Unique IDs
A framework called "pinspider" on Apache mesos, to get basic user information from a pinterest page of a user.
A high available global sequence generator for distributed system.
MSstack is a full-stack microservice framework for Java. It features service discovery and registration using Apache Curator, event streams through Apache Kafka, HTTP Server through Netty/Jersey, and cluster management through Apache Zookeeper.
Application toolkit based on the JADE framework. Functionalities for time aspects, agent environment interaction, visualization and load balancing, focusing on the usability for end users.
Add a description, image, and links to the distributed-computing topic page so that developers can more easily learn about it.
To associate your repository with the distributed-computing topic, visit your repo's landing page and select "manage topics."