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Large-scale Smart Environments (LSEs) are open and dynamic systems where issues related to scalability and interoperability require to be carefully addressed. Moreover, as such systems typically extend on a wide area and include a huge number of interacting devices, aspects concerning services and objects discovery and reputation assessment require being managed. Despite the increasing interest in...
This paper analyzes and evaluates the strategies and implications related to the execution of parallel algorithms on a distributed Cloud infrastructure, with the focus on an important class of applications for which the execution is performed on spatial data, dislocated on a bidimensional territory. Applications of interest cover a wide spectrum ranging from Internet of Things to social sciences,...
This paper analyzes and evaluates the strategies and implications related to the execution of parallel algorithms on a distributed Cloud infrastructure, with the focus on an important class of applications for which the execution is performed on spatial data, dislocated on a bidimensional territory. Applications of interest cover a wide spectrum ranging from Internet of Things to social sciences,...
This paper presents an approach for the efficient parallel/distributed execution of ant algorithms, based on multi-agent systems. A very popular clustering problem, i.e., the spatially sorting of items belonging to a number of predefined classes, is taken as a use case. The approach consists in partitioning the problem space to a number of parallel nodes. Data consistency and conflict issues, which...
This work develops techniques for modeling and distributed simulation of complex situated multi-agent systems, which are highly dynamic and possess an intrinsic spatial character. Each agent owns its spatial coordinates and acts and interacts with its peers in a hosting territory. In a distributed/parallel scenario of a typical situated agent model, the territory represents a huge shared variable...
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