Welcome!

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

News Feed Item

Jin-Magic and Ubiquisys Join Forces to Improve Small Cell Performance

Jin-Magic, developer of software to stabilise and optimize internet traffic, and Ubiquisys, the developer of multi-mode small cells, today announced that the two companies are working together to improve the performance and quality of experience of small cells. By dynamically optimizing TCP traffic from within heavily-loaded small cells, capacity to service simultaneous TCP sessions can be increased multiple times to improve quality of experience in a fair and democratic way.

Ubiquisys metrocells provide coverage and capacity in capacity hotspots over 3G, LTE and WiFi interfaces. With the inexorable growth in mobile data usage, any one of these air interfaces, as well as the backhaul IP connection, can regularly run at close to their full capacity. Without intelligent data flow management, this inevitably leads to a TCP tug-of-war, with inefficient sharing of resources between users and technologies, additional network signalling traffic and an erratic user experience.

The solution consists of Jin-Magic optimization software running on a Ubiquisys smart cell - an intelligent small cell hotspot with an integrated computing platform based on Intel® architecture. By monitoring all of the TCP/IP traffic as it passes through the cell, Jin-Magic software balances and stabilizes individual TCP sessions without making any changes to packets, data, or protocol. The patented software is capable of maximizing bandwidth utilization of the end-to-end network and enables fair sharing of the available bandwidth among the users. This gives an improvement across both the backhaul and each of the licensed or unlicensed air interfaces, greatly adding to the usable cell capacity and delivering a robustly consistent quality of experience for all users. Ubiquisys smart cell partners can also take advantage of the software to implement customized QOS policies. It can also be used to continuously monitor and analyse the network condition at the TCP session level.

“Small cells combine multiple technologies and use commodity backhaul to deliver high quality capacity at minimum cost – Jin-Magic’s innovative software means they continue to deliver even at very high utilisation,” said Pete Keevill, VP Engineering and co-founder, Ubiquisys. “Our smart cell provides the computing power to run robust applications like Jin-Magic where they are most useful and effective, at the edge of the network.”

“Jin-Magic software is extremely efficient and scalable – light enough to run on a smartphone, but powerful enough to handle a million simultaneous TCP sessions when run in the network,” said Koji Morihiro, President and CEO Jin-Magic. “The Ubiquisys smart cell provides a compelling new platform for Jin-Magic to do its work where it matters most – close to mobile users.”

The application is distributed and remotely provisioned on smart cells through the Intel AppUp® SMB Service, which is built on the Intel Hybrid Cloud software platform, that enables service providers to deliver the benefits of cloud computing on distributed networked devices.

For more information about Jin-Magic’s TCP Traffic Optimizer, please download the datasheet at http://www.jin-magic.com/en/pdf/PRD_02.pdf. Ubiquisys will be demonstrating smart cell applications at Mobile World Congress at their executive demo suite. To meet with Ubiquisys and Jin-Magic at the event, please contact [email protected].

About Ubiquisys

Ubiquisys is a leader in intelligent multi-mode LTE-HSPA-WiFi small cells, with products deployed by operators around the world.

The Ubiquisys difference is intelligence: high-availability small cells that continuously adapt to their surroundings and dynamically interact with their neighbours. Operators benefit from macro-level KPIs, low operating costs and efficient use of spectrum assets, whilst mobile users experience dependable voice and high speed data services. The Ubiquisys small cell range includes public-access hotspots, self-organising networks for enterprise, and modular residential small cells designed for home device integration.

Ubiquisys has pioneered the smart cell: part small cell hotspot, part powerful computing platform. This new class of small cell adds cloud and core networking capabilities at the edge of the network, bringing new services closer to mobile users. www.ubiquisys.com

About Jin-Magic

In TCP, the predominant internet transport protocol standard, simultaneous TCP streams aggressively compete for bandwidth. This can deteriorate efficient utilization of the bandwidth, total throughput and TCP stream stability, particularly in mobile networks. Jin-Magic Inc. has developed an innovative, fundamental and standards-based software technology to stabilize internet traffic at TCP level and maximize service capacity of existing or future infrastructure. From any one point in TCP path, it can precisely control bandwidth without bursts and re-transmits. Our mission is to deliver this solution through industry leading partners to improve the quality of internet experience for all users. www.jin-magic.com

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
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DXWorldEXPO LLC announced today that Telecom Reseller has been named "Media Sponsor" of CloudEXPO | DXWorldEXPO 2018 New York, which will take place on November 11-13, 2018 in New York City, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycle for machine learning in production. From this analysis it builds a framework for seeing where machine learning on a graph can be advantageous.'