Worldwide hyperscale data center
markets implement cloud computing with shared resource and foolproof security
systems that protect the integrity of corporate data. Cloud data centers are poised to achieve
explosive growth as they replace enterprise web server farms with cloud
computing and with cloud 2.0 automated process computing. The implementation of secure large computing
capability inside data center buildings provides economies of scale not matched
by current state of the art enterprise data center standalone server
technology.
Building size cloud 2.0 computer
implementations feature simplicity of design achievable only with scale. These data centers implement cloud 2.0 in a
move that works better than much of the current cloud computing. The cloud 2.0 data centers have been reduced
to two types of components, an ASIC server: single chip servers and a network
based on a matching ASIC switch. Data
centers are implemented with a software controller for that ASIC server and
switch infrastructure.
The major driving factors for
Cloud 2.0 mega data center market are cost benefit, growing colocation services,
need for data consolidation, and cloud.
Amazon (AWS), Microsoft, Google, and Facebook data centers are in a
class by themselves, they have functioning fully automatic, self-healing,
networked mega datacenters that operate at fiber optic speeds to create a
fabric that can access any node in any particular data center because there are
multiple pathways to every node. In
this manner, they automate applications integration for any data in the mega
data center.
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Cloud 2.0 mega data centers are
different from ordinary cloud computing.
Mega datacenter networks deliver unprecedented speed at the scale of
entire buildings. They are built for
modularity. They are constantly upgraded
to meet the insatiable bandwidth demands of the latest generation of
servers. They are managed for
availability.
According to Susan Eustis,
principal author of the study, “The mega data centers have stepped in to do the
job of automated process in the data center, increasing compute capacity
efficiently by simplifying the processing task into two simple component parts
that can scale on demand. The added
benefit of automated application integration brings massive savings to the IT
budget, replacing manual process for application integration.”
The only way to realign
enterprise data center cost structures is to automate infrastructure management
and orchestration. Mega data centers
automate server and connectivity management.
Cisco UCS Director illustrates software that automates everything
beyond. Cisco UCS automates switching
and storage, along with hypervisor, operating system, and virtual machine
provisioning.
As IT relies more on
virtualization and cloud mega data center computing, the physical
infrastructure is flexible and agile enough to support the virtual
infrastructure. Comprehensive
infrastructure management and orchestration is essential. The enterprise data centers and many cloud
infrastructure operations all have similar problems of being mired in
administrative expense. This presents a
problem for those tasked with running companies.
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The Internet has grown by a
factor of 100 over the past 10 years. To accommodate that growth, hyperscale
data centers have evolved to provide processing at scale, known as cloud computing. Facebook for one, has increased the corporate
data center compute capacity by a factor of 1,000. To meet future demands on
the Internet over the next 10 years, the company needs to increase capacity by
the same amount again. Nobody really
knows how to get there.
Everyone should know by now that
the enterprise data center is dead. It
will no longer exist in three years, that is the time it takes servers to
become outdated and need replacement. In
that timeframe, enterprises will migrate workload from the core enterprise
servers to the large data center that can provide processing at half the cost
of current processing. Maybe this
forecast is too aggressive, but probably not.
The mainframe stays around as detailed in a different WinterGreen Research
report.
The choices for migration are to
regular cloud data centers that remain mired in manual process and lack of
automation vs. cloud 2.0 mega data centers that implement automated process
inside a building that has scale.
The commercial data center
providers are sophisticated and reliable.
The good ones have been around for years, building systems that work in
shared environments that are able to protect the integrity of each client’s
data. At this point a good independent
analyst is the best source for judging what cloud environments best suit a
client. This study outlines the
inevitability of migrating to cloud.
Enterprise data centers are in melt down mode.
When technology markets move,
they move very quickly and this cloud data center market has been artificially
protected by incumbent vendors scaring existing customers about security
vulnerabilities, so when the air is let out of the myth, the existing IT
culture, it is likely to collapse.
As we build data centers with the
capacity to move data inside at 400 GB per second, more data can be moved
around. More analysis can be done, more
insight can be gained, more alerts can trigger robotic response.
The value of automated process to
business has been clear since the inception of computing. Recently, automated process has taken a
sudden leap forward. Many companies had
been stuck in their enterprise data center spending patterns encompassing
manual process. In the enterprise data
center the vast majority of IT administrative expenditures are for maintenance
rather than for addressing the long-term strategic initiatives.
Companies that remained in the
manual administrative spending on the data center mode including IBM and
Hewlett Packard and most of their customers failed to grow at the same pace as
the rapid growth tech companies, Google, Facebook, Amazon, and Microsoft.
The Hyperscale Data Centers:
market size at $86.9.7 million in 2016 is anticipated to be $359.7 billion in
2023. The market has astoundingly rapid
growth for a market that really is not yet well defined. The increasing scope of applications across
different industries, manufacturing, medical, retail, game, and automotive, all
industries really, is expected to drive demand over the forecast period to
these unprecedented levels, reaching into the trillion-dollar market arenas
soon.
The hyperscale data centers are
position to manage the explosion in web data, including data from IoT
technology that is in the nascent stage with a huge growth potential, and has
attracted large investments contributing to the industry growth.
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