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Service-based access models coupled with recent advances in application deployment technologies can support emerging dynamic and data-driven applications. However, due to evolving application requirements and the dynamicity of the underlying resources, it is necessary to support flexible and opportunistic composition of services in order to satisfy application needs. The goal of this work is to provide...
Pervasive computational ecosystems that combine data sources and computing/communication resources in self-managed environments, such as the ones powered by Internet of Things (IoT) devices, have the potential to automate and facilitate many aspects of our lives, and impact a variety of applications, from the management of extreme events to the optimization of everyday processes. However, this vision...
Emerging applications, from big science to the Internet of Things, increasingly involve dynamic and data-driven end-to-end workflows with large and often heterogeneous requirements. These applications require platforms that dynamically and flexibly combine resources across systems and data centers--for example, to aggregate capacity or capabilities, or integrate data stores when moving data is no...
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