Autonomic
platform is a self-managed computing model whose function is
similar to that of an autonomic nervous system of a human body. An
autonomic computing model processes and controls the functioning of
computer applications without the input from the end-user in the same
way as the nervous system regulates the body of a human being without
any conscious input from them. The autonomic platform or autonomic
computing system is a solution for growing complexity of computing.
An autonomic computing system takes decision on its own without any
external intervention and automatically adapts itself to the changes
in the environment.
The four basic
principles on which autonomic platform revolves are: self-
configuration which means that they have the ability to adapt the
changes in the system, self-healed that implies the system’s
ability to recover from errors and mistakes, self-optimization that
refers to the system’s ability to address the complexity of
managing its own performance and self-protection that implies the
system’s ability to anticipate and cure any kind of interruption.
Automatic platform is expected to be useful in areas which involves
use of large dataset and complex analytical solutions. Thus,
autonomic platform involves use of software solution and services
such as consulting, integration and continuous process improvement in
order to meet the end-user demand.
Autonomic platform
market is expected to grow because it is an all-time solution to the
problems faced by enterprises in managing data, taking appropriate
decision and handling unexpected complexity in a dynamic environment.
Autonomic platform market is driven by the adoption of IT in various
end-use sectors in order to efficiently manage the growing use of
complex data. Growing emphasize on cloud adoption is also expected to
be driving factor for the adoption of autonomic platform in order to
manage entire enterprise system. An autonomic platform understands
the environment and its context, thus acting accordingly and making
it even more valuable to the organizations.
Autonomic platform
has huge scope in various end-use sectors such as government,
banking, financial services and insurance (BFSI), healthcare,
information technology, telecom, retail and others. Growth of
autonomic platform market reduces the need for human interface for
data processing which indirectly bring resistance among society for
its early adoption and thereby restricting the growth of the market.
Additionally, security concern regarding the application of autonomic
platform in present environment is expected to pose a challenge for
the market.
Adoption of
autonomic platform in area of data management, IT service management,
networking, and enterprise software application is expected to
increase in coming years. Autonomic computing technology is also
appropriate for small and medium businesses (SMB) as it is
self-managed and self-configured providing freedom to these
organizations and having a competitive edge in the market. Since,
autonomic platform makes the enterprise infrastructure reliable, safe
and dynamic, its application is expected to become prominent in all
kind of businesses in coming the years.
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Some of players
providing autonomic platform are IPsoft Inc., Genfour, Capgemini SA,
CSRA Inc., Tonomi, Inc., Turbonomic, Inc., IBM Corp., Hewlett Packard
Enterprise Development LP, Wipro Ltd. and Fujitsu Ltd.
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