Title :
Autonomic computing: A revolutionary paradigm for implementing self-managing systems
Author :
Singh, Pradeep Kumar ; Sharma, Arun ; Kumar, Amit ; Saxena, Ayush
Author_Institution :
Dept. of Comput. Sci. & Eng., Krishna Inst. of Eng. & Technol., Ghaziabad, India
Abstract :
Recent developments in the field of Information & Communication Technology (ICT) have led to a large scale installation of computing devices connected to each other via different networking technologies. But the scale, complexity, dynamism and heterogeneity of these devices have rendered networks, systems & applications insecure, unmanageable & brittle. Soon the number of these devices will outnumber the humans using them, which makes managing them a cumbersome task. The level of expertise needed to handle these complex systems will also raise. Hence there is a need of alternate system and application design paradigm based on strategies used by biological systems, especially Autonomic Nervous System (ANS). Based on ANS, self-managing computer systems and software tools are being realized. Various subsystems of ANS such as immune system may also motivate growth in developing self-protecting systems. This paper presents a study on autonomic computing along with its architecture, metrics, design issues and some applications.
Keywords :
artificial immune systems; computational complexity; fault tolerant computing; software tools; autonomic computing; autonomic nervous system; biological systems; device complexity; device heterogeneity; device scale; devices dynamism; information & communication technology; revolutionary paradigm; self managing computer systems; self protecting systems; software tools; Autonomic systems; Complexity theory; Computer architecture; Electricity; Humans; Monitoring; Servers; Autonomic Nervous System;
Conference_Titel :
Recent Trends in Information Systems (ReTIS), 2011 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4577-0790-2
DOI :
10.1109/ReTIS.2011.6146831