DocumentCode :
262514
Title :
CLEVERsim: A Declarative, Event-Driven Simulator for the Investigation of Large Scale M2M Scenarios
Author :
Song, Tao ; Kaleshi, Dritan
Author_Institution :
Centre for Commun. Res., Univ. of Bristol, Bristol, UK
fYear :
2014
fDate :
2-4 July 2014
Firstpage :
233
Lastpage :
241
Abstract :
The growth in machine-to-machine communications and the closer integration of critical infrastructures and systems is creating larger and ever more complex system of systems. The resulting data explosion and inter-dependencies could have far-reaching implications for the system as a whole. There is a critical need to understand the effects of complex distributed systems interactions, their demands on the communications infrastructure, and the impact of different design decisions and implementation strategies. Although many network simulation tools already exist, the simulation of large and complex distributed systems remains a significant challenge. Traditional network simulators tend to focus protocol performance, rather than system-level interactions. This paper describes CLEVERsim-a declarative, event-driven, simulation tool developed specifically to address the challenges of simulating very large M2M communications scenarios, represented by 1) potentially large computational time and memory requirements, and 2) the need to maximise value within constraints.
Keywords :
digital simulation; distributed processing; CLEVERsim; M2M communications scenario; closer integration; communications infrastructure; complex distributed systems interaction; complex system of systems; computational time; critical infrastructures; data explosion; design decision; event-driven simulator; implementation strategy; large scale M2M scenario; machine-to-machine communication; memory requirements; network simulation tools; network simulators; protocol performance; system-level interaction; Abstracts; Complexity theory; Computational modeling; Data models; Logic gates; Protocols; Schedules; M2M; communications; distributed systems; large-scale; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on
Conference_Location :
Birmingham
Print_ISBN :
978-1-4799-4326-5
Type :
conf
DOI :
10.1109/CISIS.2014.33
Filename :
6915522
Link To Document :
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