Akaroa

The Akaroa research project is aimed at improving the credibility of results from quantitative stochastic simulation using automated sequential analysis, and speeding up such simulations using Multiple Replications In Parallel (MRIP) to harness the computing power of a network of inexpensive workstations. (Source: http://freecode.com/)

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
Sorted by year (citations)

  1. Tutsch, Dietmar; Hommel, Günter: MLMIN: a multicore processor and parallel computer network topology for multicast (2008)
  2. Pelz, Elisabeth; Tutsch, Dietmar: Formal models for multicast traffic in network on chip architectures with compositional high-level Petri nets (2007)
  3. Jeong, Hae-Duck J.; Pawlikowski, K.; McNickle, D. C.: Generation of self-similar processes for simulation studies of telecommunication networks (2003)
  4. de Souza Mota, Edjair: Performance of sequential batching-based methods of output data analysis in distributed steady-state stochastic simulation. (2002)
  5. Rezvan, M.; Pawlikowski, K.; Sirisena, H.: An adaptive reservation scheme for VBR voice traffic in wireless ATM networks (2001)


Further publications can be found at: http://www.cosc.canterbury.ac.nz/research/RG/net_sim/simulation_group/akaroa/publications.chtml