10,593 research outputs found

    Adaptive online deployment for resource constrained mobile smart clients

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    Nowadays mobile devices are more and more used as a platform for applications. Contrary to prior generation handheld devices configured with a predefined set of applications, today leading edge devices provide a platform for flexible and customized application deployment. However, these applications have to deal with the limitations (e.g. CPU speed, memory) of these mobile devices and thus cannot handle complex tasks. In order to cope with the handheld limitations and the ever changing device context (e.g. network connections, remaining battery time, etc.) we present a middleware solution that dynamically offloads parts of the software to the most appropriate server. Without a priori knowledge of the application, the optimal deployment is calculated, that lowers the cpu usage at the mobile client, whilst keeping the used bandwidth minimal. The information needed to calculate this optimum is gathered on the fly from runtime information. Experimental results show that the proposed solution enables effective execution of complex applications in a constrained environment. Moreover, we demonstrate that the overhead from the middleware components is below 2%

    Multi-threaded Simulation of 4G Cellular Systems within the LTE-Sim Framework

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    Nowadays, an always increasing number of researchers and industries are putting a large effort in the design and the implementation of protocols, algorithms, and network architectures targeted at the the emerging 4G cellular technology. In this context, multi-core/multi-processor simulation tools can accelerate their activities by drastically reducing the time required to simulate complex scenarios. Unfortunately, today's available tools are mostly single-threaded and they cannot exploit the performance gain offered by parallel programming approaches. To bridge this gap, we have significantly upgraded the LTE-Sim framework by implementing a concurrent scheduling algorithm, namely the Multi-Master Scheduler, aimed at efficiently handling events in a parallel manner, while guaranteeing the correct execution of the simulation itself. Experimental results will demonstrate the effectiveness of our proposal and the performance gain that can be achieved with respect to other classical event scheduling algorithms

    LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing

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    LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attain one order of magnitude energy savings from the edge to the converged cloud/HPC.Peer ReviewedPostprint (author's final draft
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