Data centres for IoT applications: The M2DC approach (Invited paper)

Oleksiak, Michal Kierzynka Ariel; Agosta, Giovanni; Brandolese, Carlo; Fornaciari, William; Pelosi, Gerardo; Berge, Micha vor dem; Christmann, Wolfgang; Krupop, Stefan; Cecowski, Mariano; Plestenjak, Robert; Činkelj, Justin; Porrmann, Mario; Hagemeyer, Jens; Griessl, René; Peykanu, Meysam; Tigges, Lennart; Cudennec, Loïc; Goubier, Thierry; Philippe, Jean-Marc; Rosinger, Sven; Schlitt, Daniel; Pieper, Christian; Adeniyi-Jones, Chris; Janssen, Udo; Ceva, Luca

doi:10.1109/samos.2016.7818361

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The M2DC project [13] aims at developing turnkey appliances for specific application domains, leveraging a novel modular server architecture featuring heterogeneous processing elements, including GPGPU and custom-developed reconfigurable accelerators. Such appliances are going to achieve a lower Total Cost of Ownership (TCO), thanks to improved energy-efficiency, dependability, customisation, scalability, and integration.…”

Section: The M2dc Approachmentioning

confidence: 99%

Accelerating Automotive Analytics: The M2DC Appliance Approach

Agosta

Brandolese

Fornaciari

et al. 2019

Lecture Notes in Computer Science

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The Modular Microserver DataCenter (M2DC) project provides lowenergy, configurable, heterogeneous servers for applications that focus on the elaboration of large data sets, but can take advantage of performance enhancement provided by transparent acceleration techniques. In this paper, we exemplify the M2DC approach through one of the project's use cases, namely automotive Internet of Things analytics. We present the main goals of the use case and we show how an appropriate M2DC microserver can be used to accelerate the application without significant modifications to its code.

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Section: The M2dc Approachmentioning

confidence: 99%

Accelerating Automotive Analytics: The M2DC Appliance Approach

Agosta

Brandolese

Fornaciari

et al. 2019

Lecture Notes in Computer Science

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“…This approach is completely automated, from data collection (on the car) to data processing for accident recognition and classification (in the data centre) and operator call to the driver. The goal of this use case is to optimize both the TCO of cloud servers used, and the amount of data that can be processed within a given power and energy budget [20].…”

Section: High Performance Data Analyticsmentioning

confidence: 99%

M2DC – Modular Microserver DataCentre with heterogeneous hardware

Oleksiak

Kierzynka

Piątek

et al. 2017

Microprocessors and Microsystems

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The Modular Microserver DataCentre (M2DC) project investigates, develops and demonstrates a modular, highly-efficient, cost-optimized server architecture composed of heterogeneous microserver computing resources. The resulting server architecture will be able to be tailored to meet requirements from a wide range of application domains. M2DC is built on three main pillars: a flexible server architecture that can be easily customised, maintained and updated; advanced management strategies and system efficiency enhancements (SEE); well-defined interfaces to the surrounding software data centre ecosystem. In this paper, we focus in particular on the thermal management strategies and on the initial benchmarking of the Aarch64 ARM architecture.

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