June/July 1999
Pumping up the network for enterprise applications
The issue: wide-scale deployment of enterprise applications overwhelms existing networks, with a period at the end.
by Lance Travis
Companies are using the local network and wide-area links to stretch multitier Enterprise Resource Planning (ERP) applications to more users in remote offices and factories. And the network strain doesn’t stop at ERP. Firms are also throwing e-commerce and employee self-service applications such as Human Resources (HR) into the mix. When deploying applications, users are careful to consider their server capacity requirements and receive capacity planning help from the server and ERP vendors. Unfortunately, network capacity considerations do not get the same attention, nor is it obvious where to go for help.
Improved backbone technologies, such as low-cost Asynchronous Transfer Mode (ATM) switches and Gigabit Ethernet switches in the Local Area Network (LAN) and Asymmetric Digital Subscriber Line (ADSL) for connecting remote users to the Internet, offer significant increases in network bandwidth. However, tuning the network involves more than just increasing the bandwidth. New networking products can optimize and manage network traffic and server access based on application type and content.
But doing so requires an understanding of new networking products, the type of network traffic generated by deployed applications, and usage patterns. Unfortunately, enterprise applications differ significantly in their network usage, and a rapidly expanding set of vendors offer networking products with a confusing array of features. Also, application and networking vendors lack integrated tools or services to help users determine network capacity requirements.
Founded in 1986, Boston-based AMR Research Inc. is the pre-eminent industry and market analysis firm specializing in enterprise applications and related trends and technologies. Tracking more than 400 leading software and service providers, AMR Research helps Global 1000 companies evaluate, select, and manage new systems for every part of the enterprise, including logistics and supply-chain management, Enterprise Resource Planning, Manufacturing Execution Systems, and electronic/Internet commerce. For more information, click here.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.