CONTROL LOOPS-KEY FACTOR FOR AUTONOMIC COMPUTING SYSTEMS REGULATION AND OPTIMIZATION

Margarita Janeska, MJ and Kosta, Sotiroski and Dejan Zdraveski, DZ CONTROL LOOPS-KEY FACTOR FOR AUTONOMIC COMPUTING SYSTEMS REGULATION AND OPTIMIZATION. Proceedings-SM2018.

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Abstract

Increased complexity, heterogeneity, uncertainty, and scale require new paradigms to design, control and
manage systems and applications. Autonomic computing systems provide a solution to these issues. An autonomic
computing system is a system that manages itself. Autonomic computing is a new attractive paradigm to tackle the
problem of growing software complexity. These systems are characterized by their self-*properties: self-configuration,
self-healing, self-optimization, and self-protection. Autonomic computing systems, also known as self-*systems, can
regulate and maintain themselves without human intervention. Also, the target of autonomic computing is improving
the manageability of IT process, it has great implications on a company’s ability to transition to n demand business,
where business processes can be rapidly adapted to realize on demand goals. These systems are constantly checked in
terms of their optimization and are automatically adapted to changing conditions.
The goal of an autonomic computing architecture is to reduce intervention and carry out administrative functions
according to predefined policies. Namely, an autonomic system is made of a connected set of autonomic elements that
contain resources and deliver services to humans and other autonomic elements. Autonomic elements will manage
their internal behaviors and their relationships with other autonomic elements in accordance with policies that humans
or other elements have established. Autonomic computing theory integrates several fields: distributed computing,
artificial intelligence, security and reliability, systems and software architecture, control theory, and systems and signal
processing theory.
At the heart of an autonomic system is a control system, which is a combination of components that act together to
maintain actual system attribute values close to desired specifications. The problem of controlling autonomic
computing systems is gaining importance due to the fact that computing systems are becoming more and more
dynamically reconfigurable or adaptive, to be flexible in their environment and to automate their administration. The
control is realized using a control loop that involves sensors and actuators that are connected to the process i.e., the
system to be controlled.
The objectives of this paper are to underline: the importance of autonomic systems and the need for their development,
the correlation between the levels of autonomic systems and business objectives, and the role and functioning of the
control cycle, which occupies a special place in the autonomic computing systems architecture.

Item Type: Article
Subjects: Scientific Fields (Frascati) > Social Sciences > Economics and Business
Divisions: Faculty of Economics
Depositing User: Mr Dimitar Risteski
Date Deposited: 07 Feb 2020 10:19
Last Modified: 07 Feb 2020 10:19
URI: https://eprints.uklo.edu.mk/id/eprint/2560

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