Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
From representations to computations: the evolution of web architectures
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Efficient application integration in IP-based sensor networks
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Dynamically partitioning applications between weak devices and clouds
Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond
Sensor Network Architecture for Cooperative Traffic Applications
ICWMC '10 Proceedings of the 2010 6th International Conference on Wireless and Mobile Communications
GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
RESTful integration of heterogeneous devices in pervasive environments
DAIS'10 Proceedings of the 10th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
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Heterogeneous and resource-constrained sensors, computational and communication latencies, variable geospatial deployment and diversity of applications set challenges for sensor network middleware. RESTful architecture principles have been widely applied in middleware design. The new Computational REST architecture offers additional set of principles. In Computational REST, computations are seen as resources and interactions are conducted as computational exchanges. In this PhD thesis work, these principles are studied and elaborated further in the context of sensor network middleware. Middleware and system component prototypes are developed, evaluated and utilized by field trials in real-world settings. As a result, new knowledge is generated of ubiquitous sensor network middleware design and dynamically distributing data processing computational load in resource-constrained sensor networks.