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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Clinical Trials: Some General Considerations using Intel Xeon E3 Skylake CPUs as a case study. Both the node level and the data center level are considered, including the practicality of operation at reduced CPU voltage margins for cloud infrastructure providers, from a profit maximization perspective.

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Challenges on Unveiling Voltage Margins from the Node to the Datacentre Level,ation several important aspects. To this end, we first present an approach for an automated characterization framework, and then we describe in detail a comprehensive approach for fast and accurate system-level voltage margins characterization, which contributes to eliminate the time required for an extensive characterization.

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https://doi.org/10.1007/978-3-642-60569-7the field from 2016–2019 publishing a number of significant papers in the area. The chapter explains the basis of the UniServer architecture and points to the chapters that follow incorporating the significant details of the research.

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Software Engineering for Edge Computing,ral-purpose software-engineering process, the multi-tier architecture of edge infrastructure, and how software applications are deployed to such an infrastructure. Secondly, we abstract a software-engineering process suitable for edge computing and we outline the research challenges in this process.

Introduction

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Book 2022y deployments of the technology in commercial settings.  This book takes a business focused view, relating the technological outcomes to new business opportunities made possible by the edge paradigm. Drawing on the experience of end user deploying prototype edge technology, the authors discuss appli