Real time

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Related to Real-time computing: Real-time systems

Real time

A real-time stock or bond quote is one that states a security's most recent offer to sell or bid (buy). Different from a delayed quote, which shows the same bid and ask prices 15 minutes and sometimes 20 minutes after a trade takes place.
Copyright © 2012, Campbell R. Harvey. All Rights Reserved.

Real Time

Describing the immediate reporting of an occurrence. Many quotes offered by brokers to clients are in real time, which means changes to the quotes occur as soon as the brokerage itself receives the information.
Farlex Financial Dictionary. © 2012 Farlex, Inc. All Rights Reserved

Real time.

When an event is reported as it happens -- such as a quick jump in a stock's price or the constantly changing numbers on a market index -- you are getting real-time information.

Traditionally, this type of information was available to the public with a 15- or 20-minute time delay or was reported only periodically by news services.

Because of the Internet and cable TV, however, more and more individual investors have access to real-time financial news. Knowing what's happening enables you and others to make buy and sell

decisions based on the same information that institutional investors and financial services organizations are using.

Real time, when used in computer technology, means that there is an interactive program that collects data and reports results immediately. The alternative, called batch processing, occurs when data is collected, stored, and then reported later in the evening or the next day.

Dictionary of Financial Terms. Copyright © 2008 Lightbulb Press, Inc. All Rights Reserved.
References in periodicals archive ?
This object-based, real-time fault tolerance scheme is called the primary-shadow RTO.k replication (PSRR) scheme and has been validated through several real-time computing application development experiments conducted in the authors' laboratory.
In an effort to validate the PSRR scheme, several experimental developments of fault-tolerant real-time computing application systems have been made in the authors' laboratory.
In Proceedings of the International Workshop on Real-Time Computing Systems and Applications (RTCSA) (Tokyo, Japan, Oct.
While all the challenges and important research areas (see Lee and Krishna [1993]; Son [1995]; Stankovic [1988]; Stankovic and Ramamritham [1988]) in real-time computing cannot be covered here, several key areas are stressed.
Nevertheless, existing real-time computing infrastructure often introduces formidable barriers to continuous process improvement, equipment upgrades, and agility in responding to changing markets and increased global competition.
For example, in response to such problems, Chrysler, Ford, and GM have worked together and stated their requirements for next-generation real-time computing systems in a white paper, "Requirements of Open, Modular Architecture Controllers for Applications in the Automotive Industry" (Aug.
Other issues addressed included scheduling and resource management, system design, software design, wireless and sensor networks, industrial advances, middleware, systems modeling, modeling with Unified Modeling Language, real-time systems, fundamental issues in distributed real-time computing, language support and design patterns, data communication, fault-tolerance and security, and performance evaluation.
Researchers from academia and industry describe recent work in the field of embedded and real-time computing. The 37 contributions address such topics as analyzing time division multiple access networks with slot skipping; load balancing in bounded-latency content distribution; and allocating data to scratchpad memory in a way that minimizes a task's worst-case execution time.
From an August 2005 international conference on embedded and real-time computing systems and applications organized by Hong Kong Baptist University's Department of Computer Science come 105 papers originally presented in sessions dealing with scheduling, operating systems, embedded systems, communications, QoS (quality-of-service) support, sensor networks and information systems, energy aware design, data services, case studies and industrial experience, distributed/multiprocessor systems, mobile and ubiquitous computing, and hardware/software codesign.
Papers examine issues related to embedded real-time computing, industry perspectives, smart spaces, mission-critical computing, and service, application, and device integration and implementation.
In these proceedings from the July 2005 conference, contributors describe their work in energy-aware computing (including speed modulation), worst-case execution time analysis (including a WCET- oriented branch prediction system), programming languages, modeling and validation techniques including model-based and component-based approaches, operating system support, scheduling and "schedulability" analysis, quality-of-service support and wireless sensor networks (including scheduling task with Markov-chain-based constraints), multiprocessor systems, and applications of real-time computing.

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