DocumentCode
1953644
Title
A Self-Management Model for Managing IT Environment Based on Autonomous Computing
Author
Soleimani, Hossein ; Banirostam, T. ; Fesharaki, M.N.
Author_Institution
Dept. of IT Manage., Islamic Azad Univ., Tehran, Iran
fYear
2013
fDate
29-31 Jan. 2013
Firstpage
84
Lastpage
87
Abstract
In this paper, a self-management model is proposed for IT environment which is intended to reduce overhead of central node and increase IT systems´ efficiency based on distributed systems approach and neighborhood-based networks. In order to reduce energy consumption and less computational load, Neighborhood-based networks can adopt with changes by means of environmental reactions. Based on Autonomous computing approach, proposed model facilitates management of many tasks using intelligent agents, cooperation between them and also learning ability. Based on the proposed model, processing and computational load of the central element reduce and computing ability will be allocated to every agent which has self-management ability. Computational power of agents is to be less comparing with the central node because agents have less communication and also less access to resources. Using autonomous computing, proposed model can increase efficiency and answer challenges like elements management and resources allocation.
Keywords
distributed processing; fault tolerant computing; multi-agent systems; IT environment; autonomous computing; distributed systems approach; elements management; energy consumption; environmental reactions; intelligent agents; neighborhood-based networks; resources allocation; self-management model; Analytical models; Autonomous agents; Computational modeling; Information services; Network topology; Robustness; Topology; Agent; Autonomous Computing; Distributed System; Model; Neighborhood-based Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on
Conference_Location
Bangkok
ISSN
2166-0662
Print_ISBN
978-1-4673-5653-4
Type
conf
DOI
10.1109/ISMS.2013.100
Filename
6498241
Link To Document