It's telecom-friendly MANO software.
Over the past several weeks, there’s been a lot of talk about something called “differential privacy.” What does this mean, how does it work, and… Is it really going to be effective? The basic concept is this: the reason people can identify you, personally, from data collected off your phone, searches, web browser configuration, computer configuration, etc., is you do things just different enough from other people to create a pattern through cyber space (or rather data exhaust). Someone looking hard enough can figure out who “you” are by figuring out patterns you don’t even think about—you always install the same sorts of software/plugins, you always take the same path to work, you always make the same typing mistake, etc.
The idea behind differential security, considered here by Bruce Schneier, here, and here, is that you can inject noise into the data collection process that doesn’t impact the quality of the data for the intended use, while it does prevent any particular individual from being identified. If this nut can be cracked, it would be a major boon for online privacy—and this is a nut that deserves some serious cracking.
But I doubt it can actually be cracked Continue reading
Lab will serve as a testbed for NFV developers.
The Datanauts Silo Series explores how to determine how many resources to apply to a virtualized workload. We discuss how to properly size and configure tricky tier 1 applications and monster VMs. The post Datanauts 039: The Silo Series – Resource Allocation for Virtualized Workloads appeared first on Packet Pushers.
Over the past year, questions about how emerging technologies will impact employment have taken on a new tenor. Will robots take over our jobs? One thing is indisputable: automation and artificial intelligence (AI) will displace workers in the IT and business process outsourcing services industry.
But this is not a new trend.
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Such tectonic shifts have occurred every few decades over the last two centuries. With each wave of new technology and each accompanying paradigm shift, jobs have disappeared. During the Industrial Revolution, people feared the loss of farm jobs. When industrial jobs went away, people flocked to the service sector. Then computers, telecom networks, ATMs and the internet made their way into the world, and people feared massive job loss in this sector. Manufacturing work moved to low-cost countries, such as China and Taiwan, and service-sector jobs soon moved to India and the Philippines.
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