Dejan Zdraveski, DZ and Margarita Janeska, MJ and Kosta, Sotiroski and Gjorgji, Manceski PERFORMANCE EVALUATION OF AUTONOMIC COMPUTING SYSTEMS. Proceedings-SM2017.
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Abstract
Autonomic computing systems is a new paradigm and they are characterized with the self-management
properties. Autonomic computing systems are emerging as a significant new strategic comprehensive type of
information systems, aimed at the design of complex distributed computing systems. Their work was inspired by the
functioning of the human nervous system and is intended for designing and building self-management systems. These
systems are continually evaluated in terms of their optimization and automatically adjust to changing conditions.
Meeting these challenges, autonomic computing systems requires scientific and technological achievements in various
fields, also new architectures that will support the effective integration of technologies used in these systems.
For the realization of self-activity in the autonomic computing systems is required to provide appropriate systems,
technologies and services. In recent decades is characteristic extended parallel and distributed computing that support
network environment. The technologies of autonomic computing systems can integrate with existing programming
systems, in order to realize self-management applications.
The aim of this paper will be to define systems, technologies and services that are necessary for realization of the basic
concepts and functions in autonomic computing systems and applications. It also would include the implementation of
these systems, in terms of techniques of autonomic computing system that can be used with dynamically allocated
servers to provide maximum functional usefulness. Also, will be presented system with self-managed properties that
will be capable for reallocation of servers in case when there are changes in overload or when an error occurs on the
server. The end of the paper will be presented performance evaluation and metrics of the autonomic computing
systems. Namely, it is necessary to determine the indicators through wich will evaluate the performance and
effectiveness of autonomic computing system.
| 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 10:20 |
| Last Modified: | 07 Feb 2020 10:20 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/2566 |
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