The OpenPOWER Foundation – a group backed by Google, IBM, Nvidia, Mellanox, Tyan and others, revealed its hardware plans to capture data centre business.
OpenPOWER has over 100 members worldwide and IBM claims, for example, that Power 8 microprocessors offer something close to 60 percent better price performance than the competition. The competition, by the way, is mainly Intel.
IBM claims the Power 8 microprocessor is the first CPU designed specifically for Big Data and analytics workloads.
OpenPOWER members showed a number of hardware elements in their plan to grab data centre business.
IBM and Wistron showed off a prototype of a high performance server using tech from Nvidia and Mellanox. IBM will deliver two systems to Lawrence Livermore and Oak Ridge National Laboratories, with a throughput five to 10 times faster than existing supercomputers.
In the second quarter of this year, Tyan will release its TN71-BP012, using an OpenPOWER customer reference system and aid at large scale cloud projects.
Nviia, Tyan and Cirrascale have developed the Cirrascale RM4950, which is a GPU accelerated developer platform which will be available in volume in the second quarter of this year. That’s aimed at big data analytics and scientific computing applications.
Juniper and IBM have decided to work together in a bid to provide customers with improved mobile facilities, look at Internet of Things (IoT) applications and plumb the world of big data.
IBM said that the two companies will work together to deliver high performance network analytics to speed up enterprises, reduce costs, and provide better end user applications.
IBM and Juniper have worked together for a while, but are now devising the integration of Juniper’s MX Router Service Control Gateway with IBM Now Factory analytics.
Other future developments will include providing visibility of subscribers and the ability of CSPs offer automated services based on data. Juniper will use IBM Analytics to understand data flows and self configure and optimise network operations.
Juniper will also integrate IBM Analytics features into its own Cloud Analytic Engine.
Bob Picciano, a senior VP at IBM, said: “Integrating predictive analytics directly into the stream of data processing – and embedding into the network of CSPs – will help to ensure the reliability of the network.”
Scientists at the
Massachusetts Institute of Technology (MIT) said just four pieces of vague information can open the door to crackers and hackers.
The researchers said the dates and locations of just four transactions can identify 90 percent of people in a data set recording three months of credit card transactions by 1.1 million users.
For example, say the MIT scientists, that someone with copies of just three recent receipts, or one receipt, an Instagram photo of you, and a tweet about the phone you just bought will have a 94 percent chance of extracting your credit card records from a million other people.
The implications are serious, because both public and private entities see aggregated digital data as a source of insight.
Big Data, however, holds socially beneficial implications, the researchers said.
They are looking at other ways to protect peoples’ data from being filched.