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activities:research [2017/03/18 18:40]
nacho [High Performance Computing (HPC) Cloud]
activities:research [2017/03/18 18:40]
nacho [Cloud Computing for Edge Analytics]
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 Existing cloud and data center infrastructures follow a traditional compute-centric approach where data is brought to the compute nodes. This paradigm works well for compute-intensive,​ High Performance Computing applications but not for applications that are data-intensive. There is a paradigm shift from computational to data exploration with a growing demand for storing, processing and sharing of large data sets that requires infrastructures to be data-centric in order to minimize data movement by bringing compute to data. This research line addresses challenges of implementing a data-driven approach in cloud management. ​ Existing cloud and data center infrastructures follow a traditional compute-centric approach where data is brought to the compute nodes. This paradigm works well for compute-intensive,​ High Performance Computing applications but not for applications that are data-intensive. There is a paradigm shift from computational to data exploration with a growing demand for storing, processing and sharing of large data sets that requires infrastructures to be data-centric in order to minimize data movement by bringing compute to data. This research line addresses challenges of implementing a data-driven approach in cloud management. ​
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 The Internet of Things (IoT) is drastically changing our homes and cities by connecting every kind of device to the Internet. IoT is setting up the basis to build an environment able to perform optimally and react to our needs. In order to make this vision a reality, we need to develop alongside a new computing infrastructure able to cope with massive device connectivity,​ and flexible enough to address the requirements of a diverse set of devices and their associated applications. Communication latency reduction and management will define the future of applications like IoT, video streaming, gaming and many mobile applications. Centralized clouds are appropriate for services with limited data communication,​ such as the Web, or for batch processing, but not for applications that require moving large amounts of distributed data or with interactive users that require low latency and real time processing. Meeting these latency demands requires bringing resources as close to the IoT devices as physically possible. This research line is addressing the challenges of building or using distributed clouds to co-locate data processing services across different geographies to provide the required Quality of Service (QoS) and functionality. ​ The Internet of Things (IoT) is drastically changing our homes and cities by connecting every kind of device to the Internet. IoT is setting up the basis to build an environment able to perform optimally and react to our needs. In order to make this vision a reality, we need to develop alongside a new computing infrastructure able to cope with massive device connectivity,​ and flexible enough to address the requirements of a diverse set of devices and their associated applications. Communication latency reduction and management will define the future of applications like IoT, video streaming, gaming and many mobile applications. Centralized clouds are appropriate for services with limited data communication,​ such as the Web, or for batch processing, but not for applications that require moving large amounts of distributed data or with interactive users that require low latency and real time processing. Meeting these latency demands requires bringing resources as close to the IoT devices as physically possible. This research line is addressing the challenges of building or using distributed clouds to co-locate data processing services across different geographies to provide the required Quality of Service (QoS) and functionality. ​
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