Title :
Heavy loading effects in networked systems
Author_Institution :
Inst. of Autom. Sci. & Eng., Tampere Univ. of Technol., Tampere
Abstract :
In complex networked systems, such as the Internet, power grids, and communication networks, the loadings of the network nodes may cause a network collapse. To prevent the ensuing economic and quality of service related losses, we need to understand the mechanisms of how local and global loadings cause network wide effects in complex networked systems. In this paper we will study this issue by MCMC simulations of an Ising model with a synthetic network topology, and in diverse qualitative network behaviour situations. The results with the synthetic network topology are also compared to those obtained with a real mobile telecommunications network topology, and to two other typical network topologies.
Keywords :
Internet; Ising model; Markov processes; Monte Carlo methods; mobile computing; quality of service; telecommunication network topology; Internet; Ising model; Markov Chain Monte Carlo simulations; communication networks; mobile telecommunications network topology; network nodes; networked systems; power grids; quality of service; Communication industry; Communication networks; Computer applications; Computer networks; Grid computing; IP networks; Network topology; Power grids; Random variables; Telecommunication network topology; Hysteresis; Ising model; loading effects; networked systems;
Conference_Titel :
Soft Computing in Industrial Applications, 2008. SMCia '08. IEEE Conference on
Conference_Location :
Muroran
Print_ISBN :
978-1-4244-3782-5
Electronic_ISBN :
978-4-9904-2590-6
DOI :
10.1109/SMCIA.2008.5045946