Autonomic Computing: Models, Applications, and Brokerage

Sharma, Durga Prasad; Singh, Bhupesh Kumar; Gure, Amin Tuni; Choudhury, Tanupriya

doi:10.1007/978-3-030-71756-8_4

Cited by 5 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Autonomic computing is introduced to serve as an architectural solution for implementing context‐aware systems where the scale or the complexity of the system makes it almost impossible or impractical to deal with all the changes beforehand 1–3 . There were studies to adopt context‐awareness in the system, and autonomic computing has been introduced to answer such need.…”

Section: Related Workmentioning

confidence: 99%

“…The complexity of the information technology solutions has made their maintenance challenging in many situations. This has inspired the introduction of autonomic computing paradigm in the early years of the current century 1 . This paradigm enables the system to process some environmental changes and react to them without human intervention.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An approach for semantic interoperability in autonomic distributed intelligent systems

Yaghoobirafi¹,

Farahani

2022

J Software Evolu Process

View full text Add to dashboard Cite

The complexity and dynamism of distributed intelligent systems have motivated the utilization of autonomic computing in such systems. However, the interoperability of agents in order to attain self‐managing properties is itself a great challenge that requires more attention. Although a number of semantic approaches exist for central autonomic systems, there are not many attempts to develop mechanisms for facilitating semantic interoperability to attain a distributed feedback loop. In this paper, a semantic approach is presented to overcome this challenge. The main component of this approach is AutonoML language that provides the shared semantics for autonomic computing in distributed environments. Besides this language, the method of its application for enhancing the interoperability of the distributed MAPE‐K loop is presented. In order to evaluate this mechanism, three well‐known metrics from the ontological assessment area are utilized, and the results are compared with an existing autonomic ontology that shows greater relational and attributes richness of the proposed semantic structures. Moreover, in order to evaluate the applicability of the mechanism, a case from NASA‐ANTS project is studied, and the results show that the proposed mechanism is capable of facilitating the achievement of more stable self‐adaptive solutions in less time and by exchanging fewer messages.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%