Verizon is working with Yale researchers and a consortium of P2P companies to produce systems that make P2P file-sharing faster by redesigning the software to prefer peers in the same city, drastically reducing the cost to ISPs of customers' P2P traffic.
In a traditional P2P network, if a Verizon customer downloads a file, only 6.3 percent of the data will come from another Verizon customer in the same city, said Doug Pasko, senior technologist at the company. In the "P4P" trial, 58 percent of the data came from nearby Verizon users, vastly reducing the company's cost of carrying the traffic.
Levitan said the technology might be ready for use by next month, when NBC makes available free downloads of its TV shows using Pando's software. The shows will be financed by advertising, and P2P technology will be an essential way for NBC to cut costs. Distributing an hourlong TV show in high definition using traditional delivery systems would cost the network about $1. With P2P technology, that cost can be cut by 75 to 90 percent.
Charles Duan from Public Knowledge sends us “a video we put together for Fair Use Week about copyright and fair use, to the tune of ‘Let It Go’ from Frozen, and full of clips of other fair use videos.”
An excellent excerpt from Aaron Perzanowski and Jason Schultz’s The End of Ownership: Personal Property in the Digital Economy on Motherboard explains how Section 1201 of the 1998 Digital Millennium Copyright Act — which bans tampering with or bypassing DRM, even for legal reasons — has allowed corporations to design their products so that using […]
Securelist’s report on the security vulnerabilities in Android-based “connected cars” describes how custom Android apps could be used to find out where the car is, follow it around, unlock its doors, start its engine, and drive it away.
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Python is immensely popular in the data science world for the same reason it is in most other areas of computing—it has highly readable syntax and is suitable for anything from short scripts to massive web services. One of its most exciting, newest applications, however, is in machine learning. You can dive into this booming […]
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