Titlebook: Computing at the EDGE; New Challenges for S Georgios Karakonstantis,Charles J. Gillan Book 2022 Springer Nature Switzerland AG 2022 Big Dat

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Harnessing Voltage margins for Balanced Energy and Performance, the threshold voltage of a MOS device [2]. As technology scales, the percentage of these variations compared to the overall transistor size increases and raises major concerns for designers, who aim to improve energy efficiency. Devices variation during fabrication known as . variation and remains

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Exploiting Reduced Voltage Margins: From Node- to the Datacenter-level,hese costs. CPUs account for up to 60% of the energy used by the computer nodes. Increasingly, modern data centers and high-performance computing (HPC) systems need to operate under a tight power budget. Other chapters in this book discussed the existence of voltage margins on modern hardware and te

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Improving DRAM Energy-efficiency,ojections forecast that the DRAM subsystem will soon be responsible for more than 40% of the overall power consumption within most servers [.]. One of the reasons for the high energy consumed by the DRAM devices is the usage of pessimistic DRAM operating parameters, such as voltage, refresh rate and

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Total Cost of Ownership Perspective of Cloud vs Edge Deployments of IoT Applications,ngs (IoT). Each of these devices is pushing data to the Internet that are soon expected to reach tens of exabytes. It is expected that such data growth will put an unprecedented pressure on the current Internet infrastructure and the centralized (Cloud) data centers (DCs). In order to successfully d

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Software Engineering for Edge Computing,mputing bridges the gap between the cloud and mobile devices by enabling computing, storage, networking, and data management in edge nodes within the close vicinity of end users’ devices. While there are various surveys about Edge computing in the literature, what is currently missing is the descrip

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https://doi.org/10.1007/978-3-642-60569-7 at the edge of the network. Each intelligent device is pushing a small amount of data to the Internet, and these small amounts multiplied by billions of devices aggregate to become big data. The traditional infrastructure, based on the cloud model, cannot scale to handle the new demand of the Inter

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Viola Hach-Wunderle,Sylvia Haasrs. First, we present the current established techniques, which contribute to either unveil the pessimistic voltage margins of modern microprocessors or propose mitigation techniques to make the microprocessors more tolerant to low-voltage conditions. Unveiling the potential power savings by charact

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