Space-based Architecture
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Space-based Architecture
A Space-based architecture (SBA) is an approach to distributed computing systems where the various components interact with each other by ''exchanging'' tuples or entries via one or more shared spaces. This is contrasted with the more common Message queuing service approaches where the various components interact with each other by ''exchanging'' messages via a message broker. In a sense, both approaches exchange messages with some central agent, but how they exchange messages is very distinctive. An analogy might be where a message broker is like an Academic conference, where each presenter has the stage, and presents in the order they are scheduled; whereas a tuple space is like an Unconference, where all participants can write on a common whiteboard concurrently, and all can see it at the same time. * Tuple Spaces ** each space is like a 'channel' in a message broker system that components can choose to interact with ** components can write a 'tuple' or 'entry' into a space, w ...
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Space Based Architecture
A Space-based architecture (SBA) is an approach to distributed computing systems where the various components interact with each other by ''exchanging'' tuples or entries via one or more shared spaces. This is contrasted with the more common Message queuing service approaches where the various components interact with each other by ''exchanging'' messages via a message broker. In a sense, both approaches exchange messages with some central agent, but how they exchange messages is very distinctive. An analogy might be where a message broker is like an Academic conference, where each presenter has the stage, and presents in the order they are scheduled; whereas a tuple space is like an Unconference, where all participants can write on a common whiteboard concurrently, and all can see it at the same time. * Tuple Spaces ** each space is like a 'channel' in a message broker system that components can choose to interact with ** components can write a 'tuple' or 'entry' into a space, w ...
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Shared Nothing Architecture
Shared may refer to: * Sharing * Shared ancestry or Common descent * Shared care * Shared-cost service * Shared decision-making in medicine * Shared delusion, various meanings * Shared government * Shared intelligence or collective intelligence * Shared library * Shared morality * Shared ownership * Shared parenting or shared custody * Shared property * Shared reading * Shared secret * Shared services * Shared universe, in fiction * Shared vision planning, in irrigation * Shared workspace Science and technology * Shared medium, in telecommunication * Shared neutral, in electric circuitry * Shared pair, in chemistry *Shared vertex (or shared corner or common corner), point of contact between polygons, polyhedra, etc. *Shared edge, line of contact between polygons, polyhedra, etc. Computing * Shared agenda, in groupware * Shared computing * Shared desktop * Shared data structure * Shared IP address * Shared memory architecture * Shared memory (interprocess communication) * S ...
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Cluster Computing
A computer cluster is a set of computers that work together so that they can be viewed as a single system. Unlike grid computers, computer clusters have each node set to perform the same task, controlled and scheduled by software. The components of a cluster are usually connected to each other through fast local area networks, with each node (computer used as a server) running its own instance of an operating system. In most circumstances, all of the nodes use the same hardware and the same operating system, although in some setups (e.g. using Open Source Cluster Application Resources (OSCAR)), different operating systems can be used on each computer, or different hardware. Clusters are usually deployed to improve performance and availability over that of a single computer, while typically being much more cost-effective than single computers of comparable speed or availability. Computer clusters emerged as a result of convergence of a number of computing trends including t ...
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Middleware
Middleware is a type of computer software that provides services to software applications beyond those available from the operating system. It can be described as "software glue". Middleware makes it easier for software developers to implement communication and input/output, so they can focus on the specific purpose of their application. It gained popularity in the 1980s as a solution to the problem of how to link newer applications to older legacy systems, although the term had been in use since 1968. In distributed applications The term is most commonly used for software that enables communication and management of data in distributed applications. An IETF workshop in 2000 defined middleware as "those services found above the transport (i.e. over TCP/IP) layer set of services but below the application environment" (i.e. below application-level APIs). In this more specific sense ''middleware'' can be described as the dash ("-") in '' client-server'', or the ''-to-'' in ''peer ...
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Distributed Computing Architecture
Architecture is the art and technique of designing and building, as distinguished from the skills associated with construction. It is both the process and the product of sketching, conceiving, planning, designing, and constructing buildings or other structures. The term comes ; ; . Architectural works, in the material form of buildings, are often perceived as cultural symbols and as works of art. Historical civilizations are often identified with their surviving architectural achievements. The practice, which began in the prehistoric era, has been used as a way of expressing culture for civilizations on all seven continents. For this reason, architecture is considered to be a form of art. Texts on architecture have been written since ancient times. The earliest surviving text on architectural theories is the 1st century AD treatise ''De architectura'' by the Roman architect Vitruvius, according to whom a good building embodies , and (durability, utility, and beauty). Ce ...
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Tuple Space
A tuple space is an implementation of the associative memory paradigm for parallel/distributed computing. It provides a repository of tuples that can be accessed concurrently. As an illustrative example, consider that there are a group of processors that produce pieces of data and a group of processors that use the data. Producers post their data as tuples in the space, and the consumers then retrieve data from the space that match a certain pattern. This is also known as the blackboard metaphor. Tuple space may be thought as a form of distributed shared memory. Tuple spaces were the theoretical underpinning of the Linda language developed by David Gelernter and Nicholas Carriero at Yale University in 1986. Implementations of tuple spaces have also been developed for Java (JavaSpaces), Lisp, Lua, Prolog, Python, Ruby, Smalltalk, Tcl, and the .NET Framework. Object Spaces Object Spaces is a paradigm for development of distributed computing applications. It is characterized by t ...
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Blackboard System
A blackboard system is an artificial intelligence approach based on the blackboard architectural model, where a common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution. Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state. In this way, the specialists work together to solve the problem. The blackboard model was originally designed as a way to handle complex, ill-defined problems, where the solution is the sum of its parts. Metaphor The following scenario provides a simple metaphor that gives some insight into how a blackboard functions: A group of specialists are seated in a room with a large blackboard. They work as a team to brainstorm a solution to a problem, using the blackboard as the workplace for cooperatively developing the solution. The session begins when the problem spe ...
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Middleware
Middleware is a type of computer software that provides services to software applications beyond those available from the operating system. It can be described as "software glue". Middleware makes it easier for software developers to implement communication and input/output, so they can focus on the specific purpose of their application. It gained popularity in the 1980s as a solution to the problem of how to link newer applications to older legacy systems, although the term had been in use since 1968. In distributed applications The term is most commonly used for software that enables communication and management of data in distributed applications. An IETF workshop in 2000 defined middleware as "those services found above the transport (i.e. over TCP/IP) layer set of services but below the application environment" (i.e. below application-level APIs). In this more specific sense ''middleware'' can be described as the dash ("-") in '' client-server'', or the ''-to-'' in ''peer ...
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Spring Framework
The Spring Framework is an application framework and inversion of control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions for building web applications on top of the Java EE (Enterprise Edition) platform. Although the framework does not impose any specific programming model, it has become popular in the Java community as an addition to the Enterprise JavaBeans (EJB) model. The Spring Framework is open source. Version history The first version was written by Rod Johnson, who released the framework with the publication of his book ''Expert One-on-One J2EE Design and Development'' in October 2002. The framework was first released under the Apache 2.0 license in June 2003. The first production release, 1.0, was released in March 2004. The Spring 1.2.6 framework won a Jolt productivity award and a JAX Innovation Award in 2006. Spring 2.0 was released in October 2006, Spring 2.5 in November 2007, Spring 3. ...
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Grid Computing
Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed (thus not physically coupled) than cluster computers. Although a single grid can be dedicated to a particular application, commonly a grid is used for a variety of purposes. Grids are often constructed with general-purpose grid middleware software libraries. Grid sizes can be quite large. Grids are a form of distributed computing composed of many networked loosely coupled computers acting together to perform large tasks. For certain applications, distributed or grid computing can be seen as a special type of ...
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