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Título

Infrastructureless spatial storage algorithms

AutorFernandez-Marquez, Jose Luis; di Marzo Serugendo, Giovanna; Arcos Rosell, Josep Lluís
Palabras claveProgramming models
Persistent storage
Geographical zones
Shape and size
Simulation result
Performance metrics
Data dissemination
Geographical area
Fecha de publicación2011
EditorAssociation for Computing Machinery
CitaciónACM Transactions on Autonomous and Adaptive Systems 6: art. 15 (2011)
ResumenThis article defines and analyzes a collection of algorithms for persistent storage of data at specific geographical zones exploiting the memory of mobile devices located in these areas. Contrarily to other approaches for data dissemination, our approach uses a viral programming model. Data performs an active role in the storage process. It acts as a virus or a mobile agent, finding its own storage and relocating when necessary. We consider geographical areas of any shape and size. Simulation results show that our algorithms are scalable and converge quickly, even though none of them outperform the others for all performance metrics considered. © 2011 ACM.
URIhttp://hdl.handle.net/10261/138231
DOI10.1145/1968513.1968518
Identificadoresdoi: 10.1145/1968513.1968518
issn: 1556-4665
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