Autonomic system is neither a new technology nor a new field. It is something new (new term) from something that had been introduced years ago particularly in the year 2001 termed as autonomic computing system. Today, due to the increasing number of organisations moving towards digital transformation, autonomic system had been highlighted as an important force multiplier tool in generating the growth in digital business and innovation. How autonomic system reduces complexity of computing system ?
Digital transformation and complexity of computing system
After the Covid-19 outbreak, digital transformation is seen as an important essence that determines the longevity in every business. Digital transformation involves the adoption of various software and systems such as CMS tool and CRM tool to support rapid digital transformation in business. The adoption, however, leads to concern in complexity of computing system. The impact of complexity is critical. Not only it may increase the cost and errors of managing information technology infrastructures but also hinder businesses from leveraging the benefits of information technology.
How autonomic system reduces complexity of computing system?
Autonomic system refers to self-managed physical or software system that operates on its own with minimum or zero human intervention. The general properties of autonomic system can be summarised into objectives and attributes.
|Properties of autonomic system (objectives)||Properties in autonomic system (attributes)|
| (i) Self-configuring
Fundamentally, the objectives represent broad system requirements whereas the attributes determine basic implementation. Autonomic system involves the application of approaches such as system software engineering to engineer autonomic function into the individual systems as well as artificial intelligence (AI) and adaptive learning to use algorithms and processes to achieve autonomic behaviour in order to meet the attributes needed to achieve the objectives properties of autonomic system. Therefore with this properties and applications, autonomic system dynamically changes its algorithms in real time to addresses complexity problems.
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