
	Where results make sense

Topic: Distributed processing

Related Topics

PlayStation Portable

Mnemonic

PlayStation 3

PlayStation 2

	[No title]
		However its virtue is that it addresses both the distribution of computing functions (the "process" side of data processing) and the distribution of data (the "data" side).
		A distributed database management system is "a collection of centralized [or local] database management systems that are linked through a communications network and integrated in their operations."[2] In its ideal form, a distributed DBMS has several defining characteristics, among them: * It supports database implementations which are logically centralized but physically distributed.
		Distributed processing refers to the deployment of "related computing tasks across two or more discrete computing systems."[3] Implementations of distributed processing vary in their sophistication and complexity.
	www.educause.edu /ir/library/text/CEM9142.txt (5011 words)

	Distributed computing - Wikipedia, the free encyclopedia
		Distributed computing is a programming paradigm focusing on designing distributed, open, scalable, transparent, fault tolerant systems.
		A heterogeneous distributed system is made up of different kinds of computers, possibly with vastly differing memory sizes, processing power and even basic underlying architecture.
		Distributed computing differs from cluster computing in that computers in a distributed computing environment are typically not exclusively running "group" tasks, whereas clustered computers are usually much more tightly coupled.
	en.wikipedia.org /wiki/Distributed_processing (1779 words)

	Apple - Logic Pro - Distributed Audio (Site not responding. Last check: 2007-10-13)
		Using distributed audio processing in your project studio allows all files to remain on the local storage media of the Master system — the hard drive of your PowerBook, for example.
		Distributed Audio Processing enables you to make full use of external studios instantly, and use expensive studio time more effectively.
		A distributed audio network requires at least two Apple computers running Mac OS X version 10.3 or later, with one acting as a master system (1GHz G4 or faster recommended) and additional computers serving as “nodes” (G5 recommended).
	www.apple.com /logic/distributedaudio.html (880 words)

	Hierarchical Planning in a Distributed Environment
		The completed plan is automatically decomposed and distributed as a result of the subgoal-allocation process (however, the distribution is not guaranteed to be appropriate for plan execution).
		These balances must be based on the spatial nature of the particular distributed application: the spatial distribution of environmental sensors, processors, and the effectors which carry out planned actions; the spatial nature of action interdependencies; and the spatial cost of communication.
		However, by approaching the design process as one of organizing a network of individual, autonomous, processing systems into a cooperative society, it is possible to design an organization which does not require fully complete and consistent data.
	www.bbtech.com /papers/distributed-NOAH.html (4215 words)

	DISTRIBUTED IMAGE PROCESSING APPLICATION CONSIDERING CORBA AND XML TECHNOLOGY
		The image processing is realised using the Magick++ library, which is the object-oriented C++ API to the ImageMagick image-processing library, the most comprehensive open-source image-processing package available.
		In the first case, the original image, the image process and the processed image are all located in the client’s memory.
		The image processing part, which consumes much computing-power is running on a high hardware-equipped machine and the presentation part is running on a computer with no special hardware requirements.
	imageprocess.sourceforge.net /corba_python_2.htm (2384 words)

	Modeling Network Latency and Parallel Processing in Distributed Database Design Decision Sciences - Find Articles (Site not responding. Last check: 2007-10-13)
		Parallel processing can be used to minimize their effects, particularly if it is considered at design time.
		Designing distributed databases that effectively take advantage of parallelism to minimize response time is a difficult and challenging task, particularly in high-speed networks, where communication delays caused by latency and queuing can be significant components of response time, even dominating data transmission and local processing time.
		A query processing strategy (or execution plan) specifies which fragments (replicas) are used, where join operations are performed, the order in which join operations are performed, and what method is used for each join.
	www.findarticles.com /p/articles/mi_qa3713/is_200310/ai_n9253628 (779 words)

	Distributed XML Processing Models
		This highlights the dimensions in which an XML document may be processed; not only may different processors operate in a single operation, but they may be separately invoked upon a document a number of times on a single node, or on different nodes.
		The XML Protocol processing model is most familiar to this audience, but other suggestions have been made for solutions; the ESI Architecture document suggests a pipeline model whereby HTTP headers are used to determine the order of processing for an entity, as well as targetting that processing to particular network nodes.
		Similarly, the proposed IETF OPES WG is attempting to enable the interposition of a processing model into arbitrary protocols by the use of an XML-based ruleset that is separate from the messages that it modifes.
	www.mnot.net /papers/XMLProcessingWS.html (1319 words)

	Science Tools > Products > The Distributed Processing System (Site not responding. Last check: 2007-10-13)
		Processes may be written in any language a customer may wish, and there are a host of details which the customer may consider in making their choices.
		This type of processing makes the most sense when the results of a process may not be needed very often, and the costs of running the process are relatively high.
		It notes, as processing results are saved, what processes are looking for those results and then enqueues those processes (if necessary), and passes the results of the ending process as inputs to newly scheduled processes.
	sciencetools.com /dps.html (877 words)

	BioMed Central \| Full text \| Distributed data processing for public health surveillance
		Since data processing is distributed to the site of data collection rather than being performed at one central location, we describe this as a distributed processing surveillance system.
		All source code required to build the data processing software is provided to the data provider at installation and whenever the software is updated, so that the local information services staff can check that there are no "backdoors" or other ways the distributed software could compromise the security of their systems.
		Applying a distributed architecture to surveillance from multiple smaller practices may enable appropriately large numbers of encounters to be gathered, but may prove infeasible because of costs and lack of appropriate internal technical support and because of heterogeneity in the way ICD9 codes are recorded and assigned by each data provider.
	www.biomedcentral.com /1471-2458/6/235 (4760 words)

	Distributed Transaction Processing
		Distributed transaction processing has become a very important part of distributed computing.
		Distributed transactions require transaction processing support either from their communications protocols or from protocols at some higher layer.
		A new processing paradigm is now evolving to fill this gap and to provide more flexibility to distribute tasks across processes/threads.
	www2.cs.ucy.ac.cy /~cssamara/samaras/distr_transaction.htm (1027 words)

	Perl provides distributed processing punch
		The basic principle of parallel processing is simple: If a large task can be broken up into independent units of work, it can be distributed to several machines and processed at the same time.
		Parallel processing, if done properly, should yield nearly an n-times reduction in the processing time (where n is the number of machines used to process the task).
		The ideal size results in the processing time for each subtask that is several orders of magnitude larger than the communications overhead but that also results in many subtasks per client.
	builder.com.com /5100-6374-1058786.html (671 words)

	Distributed Processing
		Distributed processing is the use of more than one processor to perform the processing for an individual task.
		Client workstations or terminals can be optimized for the presentation of data (for example, by providing graphics and mouse support) and the server can be optimized for the processing and storage of data (for example, by having large amounts of memory and disk space).
		Once received, the SQL statement is processed by the server, and the results are returned to the client application.
	www.mscd.edu /~ittsdba/oradoc817/server.817/a76965/c29dstpr.htm (1537 words)

	EETimes.com - Distributed processing is on top
		The switching function takes data, after network processing, from ingress (incoming) nodes and switches it, via the switch fabric, to the proper egress (output) nodes based on the processed criteria of the ingress data.
		Processing gain reduces the number of engines and forwarding memory required to process data in real-time.
		The policies are compiled in the control plane with background host processing and loaded into the forwarding tables on the line cards, during unused access periods.
	www.eetimes.com /story/OEG20000124S0039 (2304 words)

	Distributed Processing and Distributed Databases (Site not responding. Last check: 2007-10-13)
		Centralised Processing is the processing of all data at one single central location by large mainframe computer.
		Distributed Processing is the dispersion of computers and distribution of computer processing among multiple geographically separate sites where local computers handle local processing needs and are linked by communications network.
		A Distributed Database is a database that is stored in more than one physical location.
	learningat.ke7.org.uk /itweb/year13/distproc2.htm (521 words)

	DCCentral [Alternatives]
		Distributed computing also comes in different forms, other than use of the concept on the Internet.
		It has a cutting edge in speed over its distributed computing cousin, because the processors are able to "talk" with each other.
		Like parallel processing, the computers can communicate with each other very fast, but still face the same difficulty and complexity in programming the software.
	library.thinkquest.org /C007645/english/0-alternatives.htm (394 words)

	DCCentral [Parallel Processing]
		If parallel processing is hard to imagine, think of the adage, "Many hands make light work." Here, many processors divvy up a problem, lightening the workload on each other.
		Clustering is a form of parallel processing that takes a group of workstations connected together in a local-area network and applies middleware to make them act like a parallel machine.
		Clustering shares parallel processing's disadvantages with its difficulty in programming, and the lack of a single solution, especially for Beowulf — they require the use of several different programs.
	library.thinkquest.org /C007645/english/1-parallel.htm (517 words)

	DigitalCommons@Pace \| DISTRIBUTED PROCESSING IN BROKERAGE OPERATIONS: A CASE STUDY (COMPUTERS, SECURITIES, BACKOFFICE)
		This study examines the critical processing requirements of brokerage operations and attempts to relate these requirements to the strengths and weaknesses of distributed data processing.
		The study is based upon the results of a questionnaire administered to nineteen of the industry's twenty-five largest firms as well as a detailed case study analysis of one firm's back office operations.
		However, distributed systems were being used to collect and edit data on the input side and distribute data on the output side.
	digitalcommons.pace.edu /dissertations/AAI8417916 (422 words)

	New image processing, signal processing, distributed processing, and runtime editing for faster image and data analysis
		With new features such as distributed processing and runtime changes, users can create a visualization tool, target acquisition project, or signal processing application from prototype to completed product in significantly less time and with significantly less effort.
		This comprehensive set of signal processing, analysis and visualization functions performs significantly faster than other signal processing algorithms, and can be utilized in communications, audio/video analysis and development, radar/sonar, consumer, medical electronics and other markets.
		Users can now distribute a portion of an application to run on other networked computers, thus turning dormant workstations or servers into powerful processors simultaneously working on complex analysis problems.
	www.accusoft.com /products/visiquest/features.asp (401 words)

	Reference Model for Open Distributed Processing — Lamswww
		The rapid growth of distributed processing has led to a need for a coordinating framework for the standardization of Open Distributed Processing (ODP).
		X.904 ISO/IEC 10746-4, is based on precise concepts derived from current distributed processing developments and, as far as possible, on the use of formal description techniques for specification of the architecture.
		Distributed systems are important because there is a growing need to interconnect information processing systems.
	lamswww.epfl.ch /reference/rm-odp (1639 words)

	Transaction Processing in Distributed Service-Oriented Applications > Two-Phase Commit (Site not responding. Last check: 2007-10-13)
		The loosely coupled nature of distributed service applications in many cases breaks some of the essential assumptions of existing transaction-processing systems and shifts some of the burden of transaction management from the core infrastructure to the actual service developer.
		The fundamental goal of transaction processing platforms is to guarantee that work performed across multiple distributed components within a system can execute atomically ("all or nothing" semantics), in isolation from other elements in the system, and can be recorded permanently on some form of durable media.
		During this period, a resource manager is said to be "in doubt" or "uncertain." In addition, the protocol message exchanges occur between a transaction coordinator and resource vendor–provided implementations of the XA resource interfaces; the running application is oblivious to the process it has triggered by requesting a commit of the distributed transaction.
	www.informit.com /articles/article.asp?p=351607 (790 words)

	DistrIT - Distributed Processing in Java made Simple and Powerful
		This Distributed Processing API can also be used to distribute other tasks such as a CPU-intensive rendering process distributed across various PCs within an intranet, a Informative Map GUI running on custom PCs around a shopping mall, or an artificial evolutionary process spreading across the internet.
		The DistrIT architecture is simple enough to have a distributed application running in half an hour, yet also powerful allowing a distributed processing task of any complexity to be implemented.
		distributing a fractal generating task over various CPUs on one PC, an RSA cracking process over thousands of PCs across the internet, or an Evolutionary Algorithm across a cluster of PCs.
	distrit.sourceforge.net (761 words)

	Connectionism - Wikipedia, the free encyclopedia
		PDP was a neural network approach that stressed the parallel nature of neural processing, and the distributed nature of neural representations.
		Lashley argued for distributed representations as a result of his failure to find anything like a localized engram in years of lesion experiments.
		Parallel Distributed Processing: Explorations in the Microstructure of Cognition.
	en.wikipedia.org /wiki/Parallel_Distributed_Processing (2036 words)

	Computer languages for distributed processing
		Particular approaches to distributed computing that appeal to me include PVM, Linda and an object-oriented distributed language named Obliq.
		Moreover, Annex E ("Distributed Systems") of the Ada95 specification defines such capabilities, so a validated Ada95 compiler with a validated Annex E is a possibility.
		Also conducive to distribution of processing: FORTRAN, of course, and Taligent, Taos, Telescript from General Magic, Phantom,...
	phaseit.net /claird/comp.lang.misc/distributed_processing.html (327 words)

	Distributed Network Processing
		The clients would automatically each process their portion of the task, and return the results to the server to be compiled into a finished product.
		For example, if a server had 10,000 clients, and it were given the task of calculating pi to 1,000,000,000 decimal places of precision, normally, all of the clients' requests would be put on hold, and their computers would sit idle, until the server reached an answer.
		This form of raw processing power has been demonstrated many times by a non-profit group called "Distributed.Net." Their goal is to show the world that a million-dollar Cray with 2048 600MHz parallel processors and two gigabytes of RAM (per processor) is not necessary to crack the toughest computational tasks.
	www.kinetic.org /mips-sucker/mips-sucker.html (2144 words)

	Cetus Links: 16604 Links on Objects and Components / Distributed Objects & Components: General Information
		Distributed object computing is a computing paradigm that allows objects to be distributed across a heterogeneous network, and allows each of the components to interoperate as a unified whole.
		The objects may be distributed on different computers throughout a network, living within their own dynamic library outside of an application, and yet appear as though they were local within the application.
		The overall technical goal of distributed object computing is clear: to advance distributed information technologies so that they may be more efficient and flexible, yet less complex.
	www.cetus-links.org /oo_distributed_objects.html (2162 words)

	Distributed Digital Signal Processing
		The goal of the Distributed Digital Signal Processing (DDSP) Project is to transform a network of heterogeneous, distributed computing platforms into an array of audio/video sensors and actuators capable of performing complex DSP tasks such as distributed beamforming, audio rendering, audio/visual tracking, and camera array processing.
		Toward that goal, we are investigating ad-hoc synchronization, I/O calibration, sensor/actuator localization, joint audio-video processing, distributed source coding--and distributed signal processing in general--from a system hardware-software angle.
		One example is a distributed microphone array instantiated in an ad-hoc fashion from all wirelessly connected laptops in a conference room, or a self-synchronized system of multiple PCs with audio/video input/output capability to enhance people’s experience in future entertainment and communication.
	www.intel.com /technology/computing/applications/ddsp.htm (208 words)

Try your search on: Qwika (all wikis)