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AppStream Hosts Free Webinar: Application Streaming vs. Server-Based Computing.


Business Editors/High-Tech Writers

AppStream

WHAT:   AppStream Webinar: Application Streaming vs. Server-Based
        Computing - What should you use?

WHEN:   Wednesday, July 17, 2002, 11:00 - 11:30 a.m. PDT

WHERE:  Register online at
        http://www.appstream.com/news/events/signup.html


AppStream will discuss different options for deploying applications and highlight the benefits and strengths of both Application Streaming Application streaming is a relatively new form of software distribution method using application virtualization. By virtualizing the application and streaming blocks of executable code, it can be run on the client side before it is finished downloading.  and Server-Based Computing Refers to applications that run in a server. Also known as "thin client computing," it may refer to a browser-based environment that uses a Web browser as the client with all applications running on a Web server on the Internet or in an intranet on the LAN. . Attendees will hear why leading global enterprises are turning to Application Streaming to more cost-effectively deploy and manage applications within their organizations and to the extended enterprise. The session will provide valuable perspective on what is possible with application streaming technology and the immediate and long-term business value companies can expect to realize from this innovative way of deploying applications.

About AppStream

AppStream is a leading provider of application deployment and management technology. The company's patented technology lowers application TCO (1) (Total Cost of Ownership) The cost of using a computer. It includes the cost of the hardware, software and upgrades as well as the cost of the inhouse staff and/or consultants that provide training and technical support. See ROI.  while optimizing existing infrastructure to provide the most cost-effective way to distribute any application over any network. The technology is the first of its kind to reduce network congestion In data networking and queueing theory, network congestion occurs when a link or node is carrying so much data that its quality of service deteriorates. Typical effects include queueing delay, packet loss or the blocking of new connections.  and server load and provide ubiquitous access to dynamic and highly functional applications across all networks without impacting applications or IT infrastructure. AppStream's customer base includes Fortune 1000 corporations in financial services The examples and perspective in this article or section may not represent a worldwide view of the subject.
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Copyright 2002, Gale Group. All rights reserved. Gale Group is a Thomson Corporation Company.

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Publication:Business Wire
Date:Jul 16, 2002
Words:216
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