Welcome!

Machine Learning Authors: Yeshim Deniz, Liz McMillan, Elizabeth White, Pat Romanski, Corey Roth

News Feed Item

Altobridge Proves 40% Data Backhaul Savings with Intelligent Content Delivery in Commercial Wireless Networks

Altobridge (www.altobridge.com), a leader in technology that cuts the cost of communicating across wireless networks, has today announced the first commercial deployment of its Data-at-the-Edge™ (DatE™) solution, an intelligent, content delivery architecture that brings content closest to the end user, i.e., at the radio base station level.

The solution is live on a Tier One wireless network in Asia and results show savings of over 40% in mobile broadband backhaul costs, plus a dramatic improvement in Quality of Experience (QoE) and seamless integration into the live network.

Data-at-the-Edge™ enables data passing between an operator’s core network and the radio base station to be identified, managed and optimized at the most granular level. This is achieved through content ‘On-loading’ at the base station, data stream de-duplication, data compression and Network Interface Protocol Optimization, along with other data optimization techniques.

“The Altobridge DatE deployment is showing real evidence that intelligent management and ‘On- loading’ of content at the base station can have the levels of impact on cost reduction and improved QoE that mobile network operators require in order to handle the big data challenge,” said Mike Fitzgerald, Chief Executive, Altobridge. “There is an urgent need for a technology that reduces backhaul costs and improves QoE. Data-at-the-Edge is the solution to these challenges. In addition, it opens-up new revenue generating opportunities for network operators and content providers, through new and innovative business models, such as revenue sharing from pre-positioned rich media content.“

DatE offers service providers a compelling solution to their spiralling ‘big data’ delivery costs while, at the same time, dramatically improving end-user experience. The solution delivers these benefits to all wireless access points: from congested, high-capacity urban base stations, to micro-cell rural deployments where, in the latter case, transmission costs are often commercially prohibitive. In addition, it provides a real solution to the backhaul challenges faced by the accelerating deployment of small cells.

Data-at-the-Edge has been designed to address existing and future requirements of network modernization, administration, operation, maintenance and regulatory control.

DatE can be delivered as a standalone data optimization solution, direct to mobile network operators, or licensed via existing wireless network vendors.

About Altobridge

Founded in 2002, Altobridge develops wireless network solutions that reduce network operating costs in delivering mobile voice, mobile broadband and big data services. Central to this lie a series of patented and patent-pending technologies namely; Altobridge Data-at-the-Edge™ (intelligent mobile broadband data optimization and delivery across wireless networks), Local Connectivity™ (local voice switching) and Split Architecture™ (transmission and power optimization), all of which, drive down communications delivery costs for mobile network operators by reducing backhaul and power consumption costs.

Altobridge is headquartered in Ireland and has further bases in; USA, China, Malaysia and Indonesia covering sales, R&D, customer support and manufacturing.

Altobridge solutions are deployed and operational in over 30 countries worldwide.

Altobridge is a privately held company. Shareholders include its employees, Intel Capital, IFC and Enterprise Ireland.

-Ends-

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the massive amount of information associated with these devices. Ed presented sought out sessions at CloudEXPO Silicon Valley 2017 and CloudEXPO New York 2017. He is a regular contributor to Cloud Computing Journal.
DXWorldEXPO LLC announced today that Kevin Jackson joined the faculty of CloudEXPO's "10-Year Anniversary Event" which will take place on November 11-13, 2018 in New York City. Kevin L. Jackson is a globally recognized cloud computing expert and Founder/Author of the award winning "Cloud Musings" blog. Mr. Jackson has also been recognized as a "Top 100 Cybersecurity Influencer and Brand" by Onalytica (2015), a Huffington Post "Top 100 Cloud Computing Experts on Twitter" (2013) and a "Top 50 Cloud Computing Blogger for IT Integrators" by CRN (2015). Mr. Jackson's professional career includes service in the US Navy Space Systems Command, Vice President J.P. Morgan Chase, Worldwide Sales Executive for IBM and NJVC Vice President, Cloud Services. He is currently part of a team responsible for onboarding mission applications to the US Intelligence Community cloud computing environment (IC ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in this new hybrid and dynamic environment.