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raft-copycat

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  Analyzed 7 months ago

Fault-tolerant distributed coordination framework and Raft consensus protocol implementation. Copycat is both a low-level implementation of the Raft consensus algorithm and a high-level distributed coordination framework that combines the consistency of ZooKeeper with the usability of Hazelcast ... [More] to provide tools for managing and coordinating stateful resources in a distributed system. Its strongly consistent, fault-tolerant data store is designed for such use cases as configuration management, service discovery, and distributed synchronization. [Less]

12.7K lines of code

9 current contributors

7 months since last commit

1 users on Open Hub

Activity Not Available
3.0
   
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CloudI: A Cloud at the lowest level

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  Analyzed 7 days ago

CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP ... [More] , Python, or Ruby services. The bare essentials for efficient fault-tolerant processing on a cloud! [Less]

197K lines of code

1 current contributors

about 2 months since last commit

1 users on Open Hub

Very Low Activity
5.0
 
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Knowing Datamining

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  Analyzed about 4 hours ago

Datamining framework based on WEKA and Akka.

8.58K lines of code

0 current contributors

almost 3 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Generic Object Sharing Hub

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  Analyzed about 2 months ago

Generic Object Sharing Hub is a peer-to-peer (more node-to-node) software written in PHP5. Its main purpose is to share serialized objects over a computer network in a generic way. This means that the data is being extracted from objects (vistor-pattern like) and stored in an array which is then ... [More] serialized. After that the object's name and at least one tag are being added for easy recognition on the receiving node. [Less]

14.1K lines of code

0 current contributors

over 1 year since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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securepropertydata

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  Analyzed about 1 year ago

GoogleJust as Google is a company dedicated to making information useful for ALL people and not just those wealthy to have access to powerful technology -- this project is dedicated to making property rights useful for ALL people and not just those wealthy to have access to the powerful officials. ... [More] To fully understand this project's agenda, it is necessary to understand that the fundamental reason for democratically available property rights is NOT about greed or money. Providing the secure property data infrastructure is about enabling others to own property, to build their enterprises, to create products and services that others can enjoy and appreciate and to pursue happiness according to their OWN AGENDA. Institute for Liberty and DemocracyProperty rights have an extremely profound impact upon health and sustainability of human liberty and democracy. If robust property rights mechanisms and efficient free enterprise transactions are available, individuals can derive their own meaning and sustenance by working on those ventures and creating products that both provide income and define their own existence. Information technology is key in documenting property ownership as well as ensuring symmetric information in negotiations and exchanges. Secure Property DataOpen source, secure, authenticated property data management systems present a means to minimize bureaucratic constraints and expedite bottlenecks, eliminate opportunities for crime, corruption and coercion, enable more efficient enterprise thru symmetric information in negotiation safeguard confidentiality, privacy while providing transparency, auditability rapidly, securely process, record and store information, and efficiently perform other tasks associated with significant transactions. [Less]

0 lines of code

0 current contributors

over 10 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: GPL-2.0+

pj4j

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  Analyzed about 6 years ago

PJ4J stands for an infrastructure of parallel job execution for Java. PJ4J is a general Java library to assign jobs on computing clusters. The key futures of PJ4J are listed below: Map-reduce functionality. An mapped job is extensible using annotations. The extensible futures in user jobs ... [More] include: a distributed hash table (DHT), a B+-tree and a lock manager. Avoid painful configurations. Computation nodes that added to existing clusters are automatically detected (and used). Job monitoring via JMX. Fault tolerant. PJ4J provides several level of fault tolerance though replication settings. Overlay network is managed by a variant of consistent hashing. Patience to C10k problems is considered. Non-blocking socket is utilized. Free. Licensed under a non-viral license, ASL 2.0. [Less]

0 lines of code

0 current contributors

about 8 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: Apache-2.0

gridool

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  Analyzed about 1 year ago

Gridool is an infrastructure of parallel job execution on Grid. Gridool assigns jobs on computing clusters. Gridool is currently under heavy development. The initial release is scheduled in April, 2010.

79.4K lines of code

0 current contributors

almost 5 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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epzilla

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  Analyzed about 1 year ago

Our Aim is to create a Distributed Architecture for Complex Event Processing Systems with support for Scalablility and Fault Tolerance.The architecture would be a platform where multiple event processing agents work supportively in forming a distributed system which is scalable in the scopes of ... [More] both events and triggers. The system inherently handles the aspects of fault tolerance which is an integral part of any distributed system. The need for a Scalable architecture for complex event processing was initiated by the fact that the number of events that modern complex event processing systems had to process differed from a few hundred per hour to several hundred thousand per minute. The number of events and triggers being processed is only determined by the use of the event processing sy [Less]

395K lines of code

0 current contributors

over 5 years since last commit

0 users on Open Hub

Activity Not Available
5.0
 
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