What Is Real Time Web
Real-time web – Wikipedia
The real-time web is a network web using technologies and practices that enable users to receive information as soon as it is published by its authors, rather than requiring that they or their software check a source periodically for updates.
Difference from real-time computing[edit]
The real-time web is different from real-time computing in that there is no knowing when, or if, a response will be received. The information types transmitted this way are often short messages, status updates, news alerts, or links to longer documents. The content is often “soft” in that it is based on the social web—people’s opinions, attitudes, thoughts, and interests—as opposed to hard news or facts.
History[edit]
Examples of real-time web are Facebook’s newsfeed, and Twitter, implemented in social networking, search, and news sites. Benefits are said to include increased user engagement (“flow”) and decreased server loads. In December 2009 real-time search facilities were added to Google Search. [1]
The absolutely first realtime web implementation worldwide have been the WIMS true-realtime server and its web apps in 2001-2011 (WIMS = Web Interactive Management System); based on the True-RealTime Web (WEB-r) model of above; built in WIMS++ (server built in Java) (serverside) and Adobe Flash (ex Macromedia Flash) (clientside). The true-realtime web model was born in 2000 at by an Italian independent researcher.
Real-time search[edit]
A problem created by the rapid pace and huge volume of information created by real-time web technologies and practices is finding relevant information. One approach, known as real-time search, is the concept of searching for and finding information online as it is produced. Advancements in web search technology coupled with growing use of social media enable online activities to be queried as they occur. A traditional web search crawls and indexes web pages periodically, returning results based on relevance to the search query. Google Real-Time Search was available in Google Search until July 2011.
See also[edit]
Comet
Collaborative real-time editor
Firebase
Internet of Things (IoT)
Meteor
Microblogging
Mojolicious
Prospective search
PubNub
Push Technology
Vert. x
References[edit]
^ “Relevance meets the real-time web”.
External links[edit]
Wray, Richard (19 May 2009). “Google ‘falling behind Twitter'”. The Guardian. Retrieved 17 June 2009. [1]
Stross, Randall (13 June 2009). “Hey, Just a Minute (or Why Google Isn’t Twitter)”. New York Times. Retrieved 17 June 2009.
Morrison, Scott (15 June 2009). “Internet Giants Look For Edge in Real-Time Search”. Wall Street Journal. Archived from the original on 16 June 2009. Retrieved 17 June 2009.
Kirkpatrick, Marshall (22 September 2009). “Explaining the Real-Time Web in 100 Words or Less”. ReadWriteWeb.
^ Cite error: The named reference:0 was invoked but never defined (see the help page).
Online Real-Time (OLRT) Processing | Open Textbooks for Hong Kong
Among the many clichés that one hears in today’s harried business environment is the phrase “time is money. ” While a cliché by its nature is worn out, this one is quite descriptive of the
current demands on Information Systems. Traditional periodic mode systems that provide information primarily through periodic reports that are hours, days, or weeks out of date can put an
organization’s decision makers at a disadvantage if its competitors are using up-to-date information to make the same decisions (e. g., recall the importance placed on timeliness and
relevance in Chapter 1). The pressures for timely information flows coupled with significant advances in available information technologies led to a rapid migration towards online
real-time systems. Online real-time (OLRT) systems gather business event data at the time of occurrence, update the master data almost instantaneously, and
provide the results arising from the business event within a very short time—i. e., in real-time. OLRT systems complete all stages of business event data processing in immediate
mode. Immediatemode is the data processing mode in which there is little or no delay between any two data processing steps (as
opposed to periodic mode, in which there is a significant delay between two or more data processing steps).
Review Question
Explain the relationship between online real-time (OLRT) and immediate mode processing.
OLRT systems typically require three basic subprocesses to be completed before an event is converted into information that can be used by decision makers. Figure 4. 3 illustrates each of these subprocesses.
Business event occurrence and recording of event data: At the time of the business event, related data are entered directly into the system. Source documents are almost never used,
as they significantly slow the process and remove some of the advantages of nonredundant data entry. Notice that the data entry process where the sale is entered into the system is the same
as in Figure 4. 2 (other than the absence of an audit file). This process is consistent
with the use of online transactionentry (OLTE) for OLRT systems.
Update master data: Each business event entered into the system is processed individually and any calculations and summarizations completed. This information is then used to update
the master data. Note in Figure 4. 3 that the processing is now being done on-site where the sales
event data are entered. 2 Because each business event is processed independently and immediately, the master data at any given time will be within seconds of being up to date. When your
books and CDs store is entering your information into the computer, it may be using an OLRT system if it is important to the store to know whether a given book or CD title is in stock at a
given time—perhaps to answer a customer’s question.
Figure 4. 3 Online Real-Time Processing
Generate reports and support queries: It is neither practical nor desirable that reports be generated after each business event is recorded and master data have been updated.
Typically, applicable reports are generated by the system on a periodic basis. At the same time, however, these reports are usually instantaneously available through access to the system on an
as-needed basis, as demonstrated in Figure 4. 3 with the communications links to the sales and inventory
managers. One of the main advantages provided by many OLRT systems is an ability to check the current status of master data items at any given time. In the books and CDs store, it would allow
the sales staff to check quickly whether a given book or CD is in stock. In many cases, rather than using pre-specified reports that may not necessarily provide information that decision makers
need, these Information Systems users use a query language (as discussed in Chapter 3) to create unique reports dynamically that provide the one-time information they need to make key
decisions. For instance, the store manager may want to run a report on the inventory stock for the top-ten selling CDs and books.
List and describe the three basic subprocesses completed in processing business event data using online real-time processing.
It was noted previously that OLTE systems are also increasingly used with systems that primarily use the periodic mode. While the data entry performed in all OLTE systems is
essentially the same, the mode of processing may vary. While a pure periodic mode system still processes business event data in batches, an OLRT system using OLTE processes each recorded
business event in real time. In a real-time system, business event data cannot be aggregated on a local computer to be transferred later to the data processing center. Rather, each
business event must be communicated for processing at the time the event occurs. This results in a more expensive approach to OLTE. In essence, rather than creating a temporary electronic
communications connection to download data to the data processing center, an OLRT system generally requires a continuous electronic communication connection, usually necessitating the use of
some form of network. This arrangement will be addressed later in this chapter.
It should be noted here that automated systems that model manual systems and OLRT systems are the two extremes in business event data processing. The systems that mimic manual systems are what
we might term pure periodic mode systems in that there is a delay between every step of the processing. On the other hand, OLRT systems represent pure immediate mode systems
in that there is little or no delay between any steps in the processing. We note these as the extremes because many systems lie somewhere between these two extremes, exhibiting a mix of
periodic and immediate mode processes at various stages. For example, OLTE used with batch processing results in an immediate mode approach for combining the business event
occurrence and record event data steps, while periodic mode processing might be used for the remainder of the steps.
Real-time Data Delivery: HTTP Streaming Versus PubSubHubbub
There are a number of ways of delivering data in real-time but until recently it has looked like PubSubHubbub, with the backing of Google, was going to be the preferred method. However, the past couple of weeks have seen a couple of interesting developments which could indicate that the developer community may actually prefer HTTP emergence of the real-time web has seen an increase in the visibility of technologies that facilitate the delivery of data in real-time. Twitter was most probably the catalyst for this due to the many high profile cases where Twitter has been able to deliver the news before any other traditional news medium; the Hudson river plane crash is probably the best example of this. Some of the real-time technologies include PubSubhubbub, RSSCloud, Comet, XMPP, MQTT, Adobe LiveCycle, Google Wave Protocol, WebHooks, WebSockets and HTTP Streaming to name but a ‘ve also seen an increase in the number of real-time services over the past year who have used these technologies. Services such as Beacon, DataSift, Google Buzz, Kwwika (disclosure: author is a founder),, PubNub, Pusher, Superfeedr and of course Twitter. You can also find a number of other real-time APIs in our Streaming has been generally associated with Ajax in the past. In fact the Wikipedia entry for HTTP Streaming (under the Push Technology page and listed as HTTP server push) talks only about “sending data from a web server to a web browser. ” This is out of date and HTTP Streaming is now much more than this. HTTP Streaming takes advantage of the fact that the Internet infrastructure has been built with HTTP in mind (as does PubSubHubbub). HTTP is fully supported so as well as using this protocol to distribute your static content such as HTML, images, CSS and JavaScript why not use it to distribute real-time data as well. The part of the Wikipedia definition for HTTP Streaming that is correct is:Generally the web server does not terminate a connection after response data has been served to a client. The web server leaves the connection open such that if an event is received, it can immediately be sent to one or multiple clients. A client in this context doesn’t have to be a web browser. It can be another web server, a desktop app, a mobile phone app, an embedded program running on a piece of hardware, a web application; basically any web enabled device capable of making a persistent HTTP might be why services such as Superfeedr, who consistently champions PubSubHubbub, have introduced support for HTTP Streaming and why new services like DataSift has provided support from almost day, why are services starting to offer HTTP Streaming? The first thing you may think is that a persistent HTTP connection might be a faster way of receiving data than PubSubHubbub and it’s intermittent HTTP Push requests. Surprisingly this isn’t supposed to be the case since “HTTP 1. 1 reuses TCP connections by default” as I recently found thing that PubSubHubbub does require is that the push notifications have to be made to a web server. This means that PubSubHubbub is highly unlikely to be used for real-time client data delivery because client applications don’t tend to run their own web server. Therefore HTTP Streaming is a more accessible real-time data delivery mechanism since any technology that can make a web request, and hold a persistent HTTP connection, can receive real-time push notifications. This means that by offering a HTTP Streaming API a service can be consumed by anything from a hardware embedded system to a mobile application as long as they are connected to the other thing that PubSubHubbub does is define the message format. This can be seen as a positive and a negative but since we are seeing JSON continuing to win over XML as the preferred data format it looks like PubSubHubbub will have to evolve away from XML to keep up as this question on Quora is an exciting trend which will most probably continue and will lead to us seeing truly real-time applications on any web-enabled device. It certainly doesn’t signal the end of the road for PubSubHubbub, which has its roots firmly in RSS (and XML), along with so much of the Internet. However, HTTP Streaming could become defacto standard for client push via Blake Patterson Phil Leggetter Developer Advocate, Real-Time Web Software & Technology Evangelist, speaker, author and blogger.
Frequently Asked Questions about what is real time web
What is online real-time?
Online real-time (OLRT) systems gather business event data at the time of occurrence, update the master data almost instantaneously, and provide the results arising from the business event within a very short time—i.e., in real-time.Jan 19, 2016
How do you create a real-time website?
Therefore HTTP Streaming is a more accessible real-time data delivery mechanism since any technology that can make a web request, and hold a persistent HTTP connection, can receive real-time push notifications.Jan 6, 2011
Is http real-time?
A Realtime server starts (and stops) game sessions, manages game and match data, and accepts client connections. The game server maintains a synchronized game session state by receiving game state information from each client and relaying it to other clients in the game session.
