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- W4313185912 abstract "Aggregate Programming (AP) is a paradigm for developing applications that execute on a fully distributed network of communicating, resource-constrained, spatially-situated nodes (e.g., drones, wireless sensors, etc.). In this paper, we address running an AP application on a high-performance, centralized computer such as the ones available in a cloud environment. As a proof of concept, we present preliminary results on the computation of graph statistics for centralised data sets, by extending FCPP, a C++ library implementing AP. This: (i) opens the way to the application of the AP paradigm to problems on large centralised graph-based data structures, enabling massive parallelisation across multiple machines, dynamically joining and leaving the computation; and (ii) represents a first step towards developing collective adaptive systems where computations dynamically move across the IoT/edge/fog/cloud continuum, based on mutable conditions such as availability of resources and network infrastructures." @default.
- W4313185912 created "2023-01-06" @default.
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- W4313185912 date "2022-01-01" @default.
- W4313185912 modified "2023-10-14" @default.
- W4313185912 title "Bringing Aggregate Programming Towards the Cloud" @default.
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- W4313185912 doi "https://doi.org/10.1007/978-3-031-19759-8_19" @default.
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