SmartFrog is a powerful and flexible Java-based software framework for configuring, deploying and managing distributed software systems.
SmartFrog helps you to encapsulate and manage systems so they are easy to configure and reconfigure, and so that that they can be automatically installed, started and shut down. It provides orchestration capabilities so that subsystems can be started (and stopped) in the right order. It also helps you to detect and recover from failures.
Such systems typically have multiple software components running across a network of computing resources, where the components must work together to deliver the functionality of the system as a whole. It's critical that the right components are running in the right places, that the components are individually and collectively correctly configured, and that they are correctly combined to create the complete system. This profile fits many of the services and applications that run on today's computing infrastructures.
SmartFrog consists of:
A Language for defining configurations, providing powerful system modelling capabilities and an expressive notation for describing system configurations
A secure, distributed Runtime System for deploying software components and managing running software systems
A Library of SmartFrog Components that implement the SmartFrog component model and provide a wide range of services and functionality
James Hamilton has published a thorough summary of Facebook's Cassandra, another scalable key-value store for your perusal. It's open source and is described as a "BigTable data model running on a Dynamo-like infrastructure." Cassandra is used in Facebook as an email search system containing 25TB and over 100m mailboxes. # Google Code for Cassandra - A Structured Storage System on a P2P Network # SIGMOD 2008 Presentation. # Video Presentation at Facebook # Facebook Engineering Blog for Cassandra # Anti-RDBMS: A list of distributed key-value stores # Facebook Cassandra Architecture and Design by James Hamilton
memcached is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
Die Roblet®-Technik ist eine in Java™ implementierte Softwareschicht zwischen Anwendung und Übertragungsnetzwerk. Ziel ist, von jeglichen Hardware- und Netzwerkaspekten verteilter Systeme zu abstrahieren, um die Komplexität bei der Entwicklung verteilter Anwendungen signifikant zu reduzieren. Um dieses Ziel erreichen zu können, bietet die Roblet®-Technik Verteilungsfreiheit bei der Zuordnung von Funktionalität, Technikvereinheitlichung für die verteilte Anwendung und Netzwerktransparenz inklusive Datensicherheit.
HBase: Bigtable-like structured storage for Hadoop HDFS Just as Google's [WWW] Bigtable leverages the distributed data storage provided by the [WWW] Google File System, HBase provides Bigtable-like capabilities on top of Hadoop Core. Data is organized into tables, rows and columns. An Iterator-like interface is available for scanning through a row range (and of course there is the ability to retrieve a column value for a specific key). Any particular column may have multiple versions for the same row key.
mainly marketing articlle by cofiiunder What if you didn't have to do any of this funny business to get scalability and reliability? What if the JVM had access to a service that you could plug into to make its heap durable, arbitrarily large, and shared with every other JVM in your application tier? Enter Terracotta, network-attached, durable virtual heap for the JVM. In the spirit of full-disclosure, I'm a co-founder of Terracotta and work there as a software developer. Terracotta is an infrastructure service that is deployed as a stand-alone server plus a library that plugs into your existing JVMs and transparently clusters your JVM's heap. Terracotta makes some of your JVM heap shared via a network connection to the Terracotta server so that a bunch of JVMs can all access the shared heap as if it were local heap. You can think of it like a network-attached filesystem, but for your object data; see Figure 1.
F. Chong, и W. Langdon. Proceedings of the Genetic and Evolutionary
Computation Conference, 2, стр. 1229. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)Full text in technical report CSRP-99-7.