Displaying 1 to 20 from 29 results

Ganglia - scalable distributed monitoring system


Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization.

Carrot2 - Search Results Clustering Engine


Carrot2 is an Open Source Search Results Clustering Engine. It could cluster the search results from various sources and generates small collection of documents. Carrot2 offers ready-to-use components for fetching search results from various sources including YahooAPI, GoogleAPI, Bing API, eTools Meta Search, Lucene, SOLR, Google Desktop and more.

Hadoop Common


Apache Hadoop is a framework for running applications on large clusters built of commodity hardware. Hadoop common supports other Hadoop subprojects

MySQL


The MySQL database is the world's most popular open source database.

Spark - Fast Cluster Computing


Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark offers a general execution model that can optimize arbitrary operator graphs, and supports in-memory computing, which lets it query data faster than disk-based engines like Hadoop.

Performance Co-Pilot - System Performance and Analysis Framework.


Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of distributed processing.

Vector - Performance Monitoring Framework


Vector is an open source on-host performance monitoring framework which exposes hand picked high resolution system and application metrics to every engineer’s browser. Having the right metrics available on-demand and at a high resolution is key to understand how a system behaves and correctly troubleshoot performance issues.

Synnefo - Open source Cloud Software, Used to create massively scalable IaaS clouds


Synnefo is a complete open source cloud stack written in Python that provides Compute, Network, Image, Volume and Storage services, similar to the ones offered by AWS. Synnefo manages multiple Ganeti clusters at the backend for handling low-level VM operations and uses Archipelago to unify cloud storage. To boost 3rd-party compatibility, Synnefo exposes the OpenStack APIs to users.

Hazelcast - In-Memory Data Grid for Java


Hazelcast is a clustering and highly scalable data distribution platform for Java. It supports Distributed implementations of java.util.{Queue, Set, List, Map}, java.util.concurrency.locks.Lock, java.util.concurrent.ExecutorService, Distributed Indexing and Query support, Dynamic scaling, partitioning with backups, fail-over, Web-based cluster monitoring tool and lot more.

H2 Database - Java based Database Engine


H2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.

Riemann - Monitors Distributed Systems


Riemann monitors distributed systems. It aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception raised by your code. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite.

Helix - Cluster Management Framework


Helix is a generic cluster management framework used for the automatic management of partitioned, replicated and distributed resources hosted on a cluster of nodes. It helps to perform scheduling of maintenance tasks, such as backups, garbage collection, file consolidation, index rebuilds, repartitioning of data or resources across the cluster, informing dependent systems of changes so they can react appropriately to cluster changes, throttling system tasks and changes and so on.

csync2 - cluster synchronization tool


Csync2 is a cluster synchronization tool. It can be used to keep files on multiple hosts in a cluster in sync. Csync2 can handle complex setups with much more than just 2 hosts, handle file deletions and can detect conflicts. It is expedient for HA-clusters, HPC-clusters, COWs and server farms.

Apache Geode - Distributed, In-memory Database for Scale-Out Applications


Apache Geode is distributed, in-memory database for scale-out applications. All data is stored in-memory for low latency. Performance scales linearly as nodes are added. Data is distributed automatically between nodes to optimize performance. Clusters fail-over to other nodes in case of failures, and rebalance remaining resources. Geode servers can be configured to talk memcached protocol.

JPPF - Parallelize computationally intensive tasks and execute them on a Grid


JPPF enables applications with large processing power requirements to be run on any number of computers, in order to dramatically reduce their processing time. This is done by splitting an application into smaller parts that can be executed simultaneously on different machines.

Cascading - Data Processing Workflows on Hadoop


Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. It is a thin Java library and API that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application.

ClusterAware Manager for .NET


The ClusterAware.NET makes it easier for developer .NET to Manager Windows Failover Cluster Provider with a powerfull class library . It's developed in C# with .NET 3.5 and .NET 4.0

LMS


Blog de atividades do Microsoft Innovation Center - Interop, também conhecido como LMS, na Unicamp.