Combining simulations, models and testbeds: possibilities and pitfalls

  • Authors:
  • Ralf Steinmetz

  • Affiliations:
  • Technische Universität Darmstadt, Darmstadt, Germany

  • Venue:
  • Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recently, the development in the area of decentralized systems and infrastructureless networks opened avenues for novel applications. A prominent example is the support of on-site units in large scale emergency response scenarios. Here, a combination of peer-to-peer systems and mobile ad hoc networks forms a communication substrate for offering enhanced services beyond the borderlines of the 'traditional' infrastructure-based client/server world. More representatives of the decentralized/infrastructureless domain such as service oriented architectures and mesh and sensor networks also already left their starting blocks. Along with these new technologies new questions regarding their operational bounds in terms of scalability, security, and QoS arose, to name just a few. Due to the yet sparse presence of real-world decentralized and infrastructureless systems, new protocols and applications have to be scrutinized by means of simulation and in (small-scale) testbeds. In addition, mathematical models must be developed both to verify the validity of results obtained from simulation and testbed studies and to provide tools for the online adaptation of relevant system parameters in future real-world scenarios. In this talk we highlight upcoming trends in decentralized systems and infrastructureless networks. We present recently finished and ongoing work of German research projects such as SicAri, SoKNOS, and G-Lab that focus (amongst other objectives) on the emergency response application scenario. In this context, we identify open issues still demanding for appropriate models in order to support studies in testbeds and simulation environments and to help paving the way for real-world deployment of the developed prototypes.