ARMONK, N.Y., Dec. 9, 2014 /PRNewswire/ -- IBM
(NYSE: IBM) inventors have patented an invention that enhances the
use of analytics for assessing and directing data in a cloud
computing environment, enabling more timely and efficient
application processing and management.
The IBM invention, U.S Patent #8,639,809, "Predictive Removal Of
Runtime Data Using Attribute Characterizing," can provide specific
benefits for a cloud environment – as well as any IT system -- by
more effectively analyzing data from a variety of sources to avoid
performance inefficiencies and processing delays. Since not all
data is equal and resources for processing, storing and managing
information are finite, real-time analytics can be useful in
expediting this process.
"Processing data in a cloud is similar to managing checkout
lines at a store -- if you have one simple item to purchase, an
express lane is preferable to waiting in line behind someone with a
more complicated order," said IBM Inventor Michael Branson, who
co-invented the patented technique with John Santosuosso. "Cloud customers don't want
data that can be analyzed and dealt with simply to sit idle behind
data that needs more complex analysis. Applying real-time analytics
in a cloud can help ensure each piece of data gets the proper
attention in a timely manner."
Creating an "express lane" in analytics
This patented technique performs real-time analysis on data --
such as online transactions, readings from sensors, financial
quotes, video streams, etc. -- as it is generated. It quickly
determines how each piece of data will be processed, by identifying
patterns in the data values that have correlated with slower
processing in the past, to avoid situations where certain data
values might delay the processing of all the data.
The cloud computing system then automatically channels each
piece of data – also known as a tuple – down the right analysis
path to ensure timely, efficient analysis. In essence, the
invention creates an "express lane" for "normal" tuples ensuring
that they are analyzed promptly, while tuples with values known to
be problematic or that are very time consuming to analyze are sent
down other analysis paths.
Applications for this invention in a cloud computing environment
include:
- Sensor-based highway toll collection systems, where some
license plates images may be harder to analyze than others because
of lighting, camera issues, etc.;
- Intrusion detection on a data network system, where analysis
can be made more efficient by identifying and rerouting malformed
data packets for closer examination;
- Analysis of audio files in a call center ("This call may be
monitored or recorded for quality-control purposes..."), where some
files may contain background noise or other audio quality issues
that require more processing.
The invention can be applied across IBM's portfolio of servers
and could be used to optimize IBM's InfoSphere Streams software
offering. IBM InfoSphere Streams is an advanced analytic platform
that allows user-developed applications to quickly ingest, analyze
and correlate information as it arrives from thousands of real-time
sources.
For 21 consecutive years, IBM has been the leading recipient of
U.S. patents. IBM inventors have patented thousands of inventions
that are expected to enable significant innovations that will
position IBM to compete and lead in strategic areas, such as IBM
Watson, cloud computing, Big Data analytics – and advance the new
era of cognitive systems where machines will learn, reason and
interact with people in more natural ways. IBM holds 1,560 cloud
patents focused on driving innovation, with more than a third of
these inventions originating in Systems and Technology Group.
IBM Systems and Technology Group offers a full range of
offerings supporting public, private and hybrid cloud
implementations that integrate with IBM's cloud software and
services. This systems portfolio includes IBM Power Systems and
System z servers, and IBM Storage solutions.
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SOURCE IBM