Happy union: Knowledge Management and the cloud?
Grazed from KMWorld. Author: Stephen E. Arnold.
Cloud computing and big data appear to be a new technology marriage made in heaven. For many organizations, the cloud and big data could crack the knowledge management problem. In 2011, the National Institute for Science & Technology (NIST) published a draft definition of cloud computing. The definition articulated several "essential characteristics," service models and deployment models.
The main idea is that most enterprise applications can run in a time-sharing setup with such bells and whistles as collaboration, reports and guaranteed uptime. On-premises systems—despite their security advantages—require specialized staff. To control costs and shift from the hard-to-control expense of on-premise systems, cloud computing offers a managed solution. If the costs are about the same or higher, the efficiencies of outsourcing appear to make sense to many organizations…


On first reading, it sounds like a stretch. For many legal scholars, it continues sounding like a stretch after the twelfth reading. But given the historically unique confluence of circumstances leading up to next month’s round of oral arguments before the U.S. Supreme Court in the case of ABC v. Aereo, it’s impossible to rule it out entirely: Aereo’s argument is that, if the distribution of programming from its cloud-based servers to its subscribers’ devices counts as a "performance"–and thus a potential copyright violation–then any distribution of media from a cloud server to those same devices should also count as "performances."
Nuage Networks, the Alcatel-Lucent (Euronext Paris and NYSE: ALU) venture focused on software-defined networking (SDN) solutions, today announced that cloud provider Numergy has selected its SDN platform for deployment within and across its datacenters as they scale to support a total of one million virtual machines.