Projects

Kazoo Platform

Kazoo is a scalable, distributed, cloud-based telephony platform that allows you to build powerful telephony applications with a rich set of APIs. Designed to handle anything from large carrier to small countries, the Whistle infrastructure can do it all. There are no lock-ins and the software is ... [More] open-source to give you complete freedom. Services include: - Complete redundancy and failover between data centers - Complete replication of all data - Use of Map/Reduce algorithms inside NoSQL databases - Multi-master replication and caching of registrations, active channels and call lookups - Load balancing built-in - Event driven messaging for managing and using calls - A complete REST interface for implementing call flow features [Less]

unxsVZ

unxsVZ is a multiple datacenter, multiple hardware node, OpenVZ container manager with autonomics and advanced migration and hot spare container replication. unxsVZ supports and will support more and more HA and load balancing functions across your private internet cloud. It is the ... [More] infrastructure manager of all of our GPL OpenISP and unxsISP software. unxsVZ is an ambitious FOSS "yet another cloud infrastructure manager." unxsVZ is already in commercial production and has proven itself very stable and extensible. Solving numerous internet infrastructure provisioning problems including cost, maintenance and monitoring. [Less]

Eclipse SMILA

claimed by Eclipse Foundation

The amount and diversity of information is growing exponentially, mainly in the area of unstructured data, like emails, text files, blogs, images etc. Poor data accessibility, user rights integration and the lack of semantic meta data are constraining factors for building next generation ... [More] enterprise search and other document centric applications. Missing standards result in proprietary solutions with huge short and long term cost. SMILA is an extensible framework for building search solutions to access unstructured information in the enterprise. Besides providing essential infrastructure components and services, SMILA also delivers ready-to-use add-on components, like connectors to most relevant data sources. Using the framework as their basis will enable developers to concentrate on the [Less]

RDFgrid

RDFgrid is a framework for batch-processing RDF data with Hadoop and Amazon Elastic MapReduce.

Mesos

claimed by Apache Software Foundation

Mesos is an open source cluster operating system. Unlike traditional operating systems (e.g. Linux or Windows) that support applications on a single computer, Mesos manages tens to thousands of computers, providing a platform on which to build distributed applications (also called frameworks). For ... [More] example, Hadoop MapReduce, MPI, Hypertable, and Spark (a new MapReduce-like framework from the Mesos team that supports low-latency interactive and iterative jobs), and many other applications, run on Mesos! [Less]

Storm Project

Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language. Storm is fast: a benchmark ... [More] clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. [Less]

jaddas

Jaddas is a high performance, high volume, high availability, low maintenance distributed relational database and data warehousing system built entirely on the Java platform. Jaddas is designed using modern data distribution, peer-to-peer and process parallelization algorithms. Jaddas is built from ... [More] the ground up to take advantage of modern commodity cluster and dynamic cloud architectures, be deployed easily and require minimal maintenance. It is primarily useful for serving large, complex, rarely updated datasets such as those typically found in data warehouse and business intellegence environments. (Planned) FeaturesFunctionality: Responds to simple and complex relational search queries. Performance: Parallel processing, minimal footprint. Scalability: Unlimited scale-out in both capacity and throughput by adding additional nodes on-the-fly. Work distribution proportional to the capacity of each individual node. Availability: Completely shared-nothing architecture. Completely decentralized. All nodes are effectively masters and slaves. Any node anywhere on the system can receive an incoming request. Remote Administration: Easy to manage from a centralized location. Self Management: The system automatically self-manages,self-distributes and self-heals. Extension of mature Oracle Berkeley DB Open Source Java Edition. Connectivity: Includes JDBC connector. Proprietary binary protocol supports for clients on non-Java paltforms. StatusState: Alpha No current releases. AudienceGenerally, this is more of a niche project along the lines of cost-effectively publishing very large, high volume, searchable datasets (10GB+) on grid/cluster architectures. Many other databases are better suited to smaller datasets or transactional queries. [Less]

Virtual Cluster -- Corona

Construct and management virtual clusters which the nodes of the clusters running on the virtual machine rather than native machine. Fast install and switch virtual clusters. Efficiently storage vm images. support variant VMMs.

internet-sky

This project is open source framework for cloud computing

grivon

See detail at http://grivon.apgrid.org/ .