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FlexFT: A Generic Framework for Developing Fault-Tolerant Applications in the Sensor Web
Author(s) -
Delano Medeiros Beder,
Jó Ueyama,
João Porto de Albuquerque,
Marcos Lordello Chaim
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/385892
Subject(s) - computer science , interoperability , fault tolerance , geospatial analysis , software , component based software engineering , component (thermodynamics) , interface (matter) , reuse , variety (cybernetics) , distributed computing , sensor web , java , software framework , software engineering , software development , embedded system , operating system , ecology , physics , wireless network , cartography , key distribution in wireless sensor networks , bubble , maximum bubble pressure method , artificial intelligence , biology , wireless , thermodynamics , geography
Fault-tolerant systems are expected to operate in a variety of devices ranging from standard PCs to embedded devices. In addition,the emergence of new software technologies has required these applications tomeet the needs of heterogeneous software platforms.However, the existing approaches to build fault-tolerant systems are often targeted at a particular platformand software technology.The objective of this paper is to discuss the use of FlexFT—a generic component-based framework for the construction of adaptivefault-tolerant systems that can integrate and reuse technologies and deploy them across heterogeneous devices. Furthermore,FlexFT provides a standardized and interoperable interface for sensor observations by relying upon the “Sensor Web” paradigmestablished by theOpenGeospatialConsortium(OGC).We have implemented a Java prototype of our framework and evaluated thepotential benefits by carrying out case studies and performance measurements. By implementing and deploying these case studiesin standard PCs as well as in sensor nodes, we show that FlexFT can cope with the problem of a wide degree of heterogeneity withminimal resource overhead

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