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Raft (algorithm)
Raft is a consensus algorithm designed as an alternative to the Paxos (computer science), Paxos family of algorithms. It was meant to be more understandable than Paxos by means of separation of logic, but it is also formally proven safe and offers some additional features. Raft offers a generic way to distribute a Finite-state machine, state machine across a Computer cluster, cluster of computing systems, ensuring that each node in the cluster agrees upon the same series of state transitions. It has a number of open-source reference implementations, with full-specification implementations in Go (programming language), Go, C++, Java (programming language), Java, and Scala (programming language), Scala. It is named after Reliable, Replicated, Redundant, And Fault-Tolerant. Raft is not a Byzantine fault tolerant algorithm: the nodes trust the elected leader. Basics Raft achieves consensus via an elected leader. A server in a raft cluster is either a ''leader'' or a ''follower'', ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Consensus Algorithm
A fundamental problem in distributed computing and multi-agent systems is to achieve overall system reliability in the presence of a number of faulty processes. This often requires coordinating processes to reach consensus, or agree on some data value that is needed during computation. Example applications of consensus include agreeing on what transactions to commit to a database in which order, state machine replication, and atomic broadcasts. Real-world applications often requiring consensus include cloud computing, clock synchronization, PageRank, opinion formation, Smart grid, smart power grids, state estimation, Unmanned aerial vehicle, control of UAVs (and multiple robots/agents in general), Load balancing (computing), load balancing, blockchain, and others. Problem description The consensus problem requires agreement among a number of processes (or agents) for a single data value. Some of the processes (agents) may fail or be unreliable in other ways, so consensus protocols m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Etcd
Container Linux (formerly CoreOS Linux) is a discontinued open-source lightweight operating system based on the Linux kernel and designed for providing infrastructure to clustered deployments, while focusing on automation, ease of application deployment, security, reliability and scalability. As an operating system, Container Linux provided only the minimal functionality required for deploying applications inside software containers, together with built-in mechanisms for service discovery and configuration sharing. Container Linux shares foundations with Gentoo Linux, ChromeOS, and ChromiumOS through a common software development kit (SDK). Container Linux adds new functionality and customization to this shared foundation to support server hardware and use cases. CoreOS was developed primarily by Alex Polvi, Brandon Philips and Michael Marineau, with its major features available as a stable release. The CoreOS team announced the end-of-life for Container Linux on May 26, 20 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
YugabyteDB
YugabyteDB is a high-performance transactional distributed SQL database for cloud-native applications, developed by Yugabyte. History Yugabyte was founded by ex-Facebook engineers Kannan Muthukkaruppan, Karthik Ranganathan, and Mikhail Bautin. At Facebook, they were part of the team that built and operated Cassandra and HBase during a period of significant growth in workloads such as Facebook Messenger and Facebook's Operational Data Store. The founders came together in February 2016 to build YugabyteDB, believing that the trends they experienced at Facebook – microservices, containerization, high availability, geographic distribution, APIs, and open-source – were relevant to all businesses, especially as they move from on-premise to cloud-native operations. YugabyteDB was initially available in two editions: community and enterprise. In July 2019, Yugabyte open sourced previously commercial features and launched YugabyteDB as open-source under the Apache 2.0 license. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
TiDB
TiDB (/’taɪdiːbi:/, "Ti" stands for Titanium) is an open-source NewSQL database that supports Hybrid Transactional and Analytical Processing ( HTAP) workloads. It is MySQL compatible and can provide horizontal scalability, strong consistency, and high availability. It is developed and supported primarily bPingCAP Inc. and licensed under Apache 2.0. TiDB drew its initial design inspiration from Google's Spanner and F1 papers. Release history See alTiDB release notes * On April 7, 2022TiDB 6.0 GAwas released. * On April 7, 202TiDB 5.0 GAwas released. * On May 28, 2020TiDB 4.0 GAwas released. Its key features includeTiFlash (experimental) TiUP [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Splunk
Splunk Inc. is an American software company based in San Francisco, California, that produces software for searching, monitoring, and analyzing machine-generated data via a Web-style interface. Its software helps capture, index and correlate real-time data in a searchable repository, from which it can generate graphs, reports, alerts, dashboards and visualizations. Splunk uses machine data for identifying data patterns, providing metrics, diagnosing problems and providing intelligence for business operations. Splunk is a horizontal technology used for application management, security and compliance, as well as business and web analytics. History Founding & early years Michael Baum, Rob Das and Erik Swan co-founded Splunk Inc in 2003. Venture firms August Capital, Sevin Rosen, Ignition Partners and JK&B Capital backed the company. By 2007 Splunk had raised . It became profitable in 2009. In 2012 Splunk had its initial public offering, trading under NASDAQ symbol SPLK. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
RabbitMQ
RabbitMQ is an open-source message-broker software (sometimes called message-oriented middleware) that originally implemented the Advanced Message Queuing Protocol (AMQP) and has since been extended with a plug-in architecture to support Streaming Text Oriented Messaging Protocol (STOMP), MQ Telemetry Transport (MQTT), and other protocols. Written in Erlang, the RabbitMQ server is built on the Open Telecom Platform framework for clustering and failover. Client libraries to interface with the broker are available for all major programming languages. The source code is released under the Mozilla Public License. History Originally developed by Rabbit Technologies Ltd. which started as a joint venture between LShift and CohesiveFT in 2007, RabbitMQ was acquired in April 2010 by SpringSource, a division of VMware. The project became part of Pivotal Software in May 2013. The project consists of: *The RabbitMQ exchange server *Gateways for AMQP, HTTP, STOMP, and MQTT protocols ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neo4j
Neo4j is a graph database management system developed by Neo4j, Inc. Described by its developers as an ACID-compliant transactional database with native graph storage and processing, Neo4j is available in a non-open-source "community edition" licensed with a modification of the GNU General Public License, with online backup and high availability extensions licensed under a closed-source commercial license. Neo also licenses Neo4j with these extensions under closed-source commercial terms. Neo4j is implemented in Java and accessible from software written in other languages using the Cypher query language through a transactional HTTP endpoint, or through the binary " Bolt" protocol. The "4j" in Neo4j is a reference to its being built in Java, however is now largely viewed as an anachronism. History Version 1.0 was released in February 2010. Neo4j version 2.0 was released in December 2013. Neo4j version 3.0 was released in April 2016. In November 2016, Neo4j successfully secu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
MongoDB
MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License (SSPL) which is deemed non-free by several distributions. History 10gen software company began developing MongoDB in 2007 as a component of a planned platform as a service product. In 2009, the company shifted to an open-source development model, with the company offering commercial support and other services. In 2013, 10gen changed its name to MongoDB Inc. On October 20, 2017, MongoDB became a publicly traded company, listed on NASDAQ as MDB with an IPO price of $24 per share. MongoDB is a global company with US headquarters in New York City, USA and International headquarters in Dublin, Ireland. On October 30, 2019, MongoDB teamed up with Alibaba Cloud, who will offer its customers a MongoDB-as-a-service solutio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hazelcast
In computing, Hazelcast IMDG is an open source in-memory data grid based on Java. It is also the name of the company developing the product. The Hazelcast company is funded by venture capital and headquartered in Palo Alto, California. In a Hazelcast grid, data is evenly distributed among the nodes of a computer cluster, allowing for horizontal scaling of processing and available storage. Backups are also distributed among nodes to protect against failure of any single node. Hazelcast provides central, predictable scaling of applications through in-memory access to frequently used data and across an elastically scalable data grid. These techniques reduce the query load on databases and improve speed. Hazelcast can run on-premises, in the cloud (Amazon Web Services, Microsoft Azure, Cloud Foundry, OpenShift), virtually (VMware), and in Docker containers. Hazelcast offers technology integrations for multiple cloud configuration and deployment technologies, including Apache jclo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CockroachDB
CockroachDB is a commercial distributed SQL database management system, developed by Cockroach Labs. History Cockroach Labs was founded in 2015 by ex-Google employees Spencer Kimball, Peter Mattis, and Ben Darnell. Cockroach Labs founders Kimball and Mattis were key members of the Google File System team while Darnell was a key member of the Google Reader team. While at Google, all three had previously used Google-owned DBMS’s Bigtable and its successor Spanner. After leaving Google, they wanted to design and build something similar on their own. Spencer Kimball wrote the first iteration of the design in January 2014, and began the open-source project on GitHub in February 2014, allowing outside access and contributions. Development on GitHub attracted substantial contributions, which made the project earn the ''Open Source Rookie of the Year'' award by Black Duck Software. The co-founders actively supported the project with conferences, networking, meet-ups, and fund-rais ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Consensus (computer Science)
A fundamental problem in distributed computing and multi-agent systems is to achieve overall system reliability in the presence of a number of faulty processes. This often requires coordinating processes to reach consensus, or agree on some data value that is needed during computation. Example applications of consensus include agreeing on what transactions to commit to a database in which order, state machine replication, and atomic broadcasts. Real-world applications often requiring consensus include cloud computing, clock synchronization, PageRank, opinion formation, smart power grids, state estimation, control of UAVs (and multiple robots/agents in general), load balancing, blockchain, and others. Problem description The consensus problem requires agreement among a number of processes (or agents) for a single data value. Some of the processes (agents) may fail or be unreliable in other ways, so consensus protocols must be fault tolerant or resilient. The processes must someho ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Byzantine Fault
A Byzantine fault (also Byzantine generals problem, interactive consistency, source congruency, error avalanche, Byzantine agreement problem, and Byzantine failure) is a condition of a computer system, particularly distributed computing systems, where components may fail and there is imperfect information on whether a component has failed. The term takes its name from an allegory, the "Byzantine generals problem", developed to describe a situation in which, in order to avoid catastrophic failure of the system, the system's actors must agree on a concerted strategy, but some of these actors are unreliable. In a Byzantine fault, a component such as a server can inconsistently appear both failed and functioning to failure-detection systems, presenting different symptoms to different observers. It is difficult for the other components to declare it failed and shut it out of the network, because they need to first reach a consensus regarding which component has failed in the first pl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
