Design and Qualitative/Quantitative Analysis of Multi-Agent Spatial Simulation Library


Autoria(s): Chuang, Timothy
Contribuinte(s)

Fukuda, Munehiro

Data(s)

25/02/2013

25/02/2013

25/02/2013

2012

Resumo

Thesis (Master's)--University of Washington, 2012

Integrating sensor networks in cloud computing gives new opportunities of using as many cloud-computing nodes as necessary to analyze real-time sensor data on the fly. However, most cloud services for parallelization such as OpenMP, MPI, and MapReduce are not always suitable for on-the-fly sensor-data analyses that are implemented as model-based, entity-based, and multi-agent simulations. To address this semantic gap between analyzing algorithms and their actual implementations, we have designed and implemented MASS: a library for multi-agent spatial simulation that composes of a user application of distributed array elements and multi-agents, each representing an individual simulation place or an active entity. All computation is enclosed in each of elements and agents that are automatically distributed over different computing nodes. Their communication is then scheduled as periodic data exchanges among those entities using their logical indices. This thesis presents the design, implementation and evaluation of the MASS library.

Formato

application/pdf

Identificador

Chuang_washington_0250O_10850.pdf

http://hdl.handle.net/1773/21817

Idioma(s)

en_US

Direitos

Copyright is held by the individual authors.

Palavras-Chave #Distributed Array; Multi-Agent; Multi-Process; Multi-Threaded; Parallel Computing; Spatial Data Analysis #Computer science #Computing and software systems
Tipo

Thesis