M2DC at the SAMOS conference

Sept. 12, 2016, 8:31 a.m.

The M2DC paper Data Centres for IoT Applications: the M2DC Approach was presented at the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, held on the Mediterranean island of Samos, 18-21 July 2016.

The paper addresses fast growth of data centers usage caused by an increase in IoT applications, big data analytics, media processing, cloud computing, and describes the M2DC approach to handling big data processing using low power processors.

It was presented by Gerardo Pelosi (PoliMi), while Giovanni Agosta (PoliMi) co-chaired the special session – European projects on heterogeneous microservers and parallel embedded computing. The focus of the special session was on bringing together European projects that aim at providing technology solutions for microservers and parallel embedded systems, and, on the other hand, projects that deal with IoT application scenarios.

The paper will soon be available in Conference proceedings, please find the abstract below.

 

The M2DC Approach: Data Centers for IoT Applications – IoT applications, data analytics, media processing, and cloud computing cause fast growth of data centers usage

 

Data Centers for IoT Applications: the M2DC Approach

Ariel Oleksiak, Michal Kierzynka, Giovanni Agosta, Carlo Brandolese, William Fornaciari, et al.

 

Abstract

The Modular Microserver DataCentre (M2DC) project investigates, develops and demonstrates a modular, highly-efficient, cost-optimized server architecture composed of heterogeneous microserver computing resources, being able to be tailored to meet requirements from diverse application domains, including the Internet of Things. M2DC is built on three main pillars: aflexible server architecturethat can be easily customised, maintained and updated; advanced management strategies and system efficiency enhancements (SEE); and well-defined interfacesto surrounding software data centre ecosystem, which allow for the efficient provision of scalable services.