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
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