For many companies, moving their web-application
servers to the cloud is an attractive option, since cloud-computing services
can offer economies of scale, extensive technical support and easy
accommodation of demand fluctuations.
But for applications that depend heavily on database
queries, cloud hosting can pose as many problems as it solves. Cloud services
often partition their servers into “virtual machines,” each of which gets so
many operations per second on a server’s central processing unit, so much space
in memory, and the like. That makes cloud servers easier to manage, but for
database-intensive applications, it can result in the allocation of about 20
times as much hardware as should be necessary. And the cost of that overprovisioning
gets passed on to customers.
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Source: MIT.edu |
In a battle for dominance in cloud computing, Google
is taking on Microsoft and Amazon in their own back yard. Google said Tuesday
that it was doubling its office space near Seattle, just miles from the
campuses of Amazon and Microsoft, and stepping up the hiring of engineers and
others who work on cloud technology. It is part of Google’s dive into a
business known as cloud services — renting to other businesses access to its
enormous data storage and computing power, accessible by the Internet.
The word cloud evokes images of all things soft and
gentle; the kiss of a kitten or the soft touch of a lambswool mitten. While
that might be true of clouds in the real world, those in cyberspace are turning
out to be very different entities indeed, especially when it comes to security.
Some of them are downright dangerous.
Seeing skeptical CIOs agree to cloud-based pilots of
Customer Relationship Management (CRM), Enterprise Resource Planning (ERP) and
other applications is evidence of how cloud computing is slowly winning the
trust war. Further evidence can be seen from how skeptical many of these CIOs
initially were, and how successful pilots led to their gradual trust. This
trust hasn’t come cheap however.
Big data used to have a specific meaning. Meant to
describe cast-offs such as log files, this information was "big"
because of the amount of electronic refuse created when processing, say, an
e-commerce transaction. Big data used to be an exercise in digital dumpster
diving. Those days are gone. At the annual South by Southwest Interactive
conference, "big data" became a proxy for social data compiled by the
likes of Facebook and Twitter. A synonym for capturing sentiment, but on a
grand scale. Every company had to become a "big data" company,
panelists enthused.
Don’t
forget to add your comments and suggestions. I will have more around the cloud
a week later.
Santanu Das
Marketing
Evangelist, WOLF Frameworks
NOTE: The views expressed above are purely personal and for
informational purposes only. WOLF FRAMEWORKS INDIA PVT. LTD. MAKES NO
WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. The names of actual companies
and products mentioned herein may be the trademarks of their respective owners.
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