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EcoMultiCloud

HIERARCHICAL APPROACH FOR GREEN WORKLOAD MANAGEMENT IN HETEROGENEOUS AND INTERCONNECTED DATA CENTERS

Total Cost €

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EC-Contrib. €

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Partnership

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 EcoMultiCloud project word cloud

Explore the words cloud of the EcoMultiCloud project. It provides you a very rough idea of what is the project "EcoMultiCloud" about.

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Project "EcoMultiCloud" data sheet

The following table provides information about the project.

Coordinator
ECO4CLOUD SRL 

Organization address
address: PIAZZA VERMICELLI SNC
city: RENDE
postcode: 87036
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://www.eco4cloud.com/ecomulticloud
 Total cost 1˙067˙915 €
 EC max contribution 747˙208 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2015
 Funding Scheme SME-2
 Starting year 2015
 Duration (year-month-day) from 2015-12-01   to  2017-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ECO4CLOUD SRL IT (RENDE) coordinator 747˙208.00

Map

 Project objective

Data Centers (DCs) around the world consume up to 1,2% of all global electricity production and they are the fastest growing category of emissions in ICT field. The efficient utilization of resources is essential to reduce costs, energy consumption, carbon emissions. There are 2 business opportunities: 1. Better efficiency in a single DC: by dynamically consolidating Virtual Machines (VMs) on the minimum number of physical resources, the non-utilized servers can be set to hibernate, hence eliminating their energy consumption 2. Better efficiency in a multi-site scenario: VMs migration among interconnected DCs is a more novel topic Current approaches aim to find a solution in a centralized fashion, undergoing the risk of originating: (i) poor scalability, due to the large number of parameters and servers; (ii) poor ability to adapt to changing conditions, as massive migrations of VMs may be required to match a new workload distribution strategy; (iii) limitation to the autonomy of the sites, which are often required to share the same algorithms. Eco4Cloud is the only company in the world that is developing a hierarchical architecture for the efficient distribution of the workload on a multi-site scenario, called EcoMultiCloud. It allows for an integrated management of interconnected DCs but at the same time it preserves the autonomy of single DCs. The VMs migrations are performed asynchronously, both location-wise and time-wise, and with a tunable rate managed by DCs administrators. Our solution is covered by 3 international patents. This puts us in a strong competitive advantage in comparison to other solutions. EcoMultiCloud gives to customers the opportunity to achieve the following technical and business goals: Reduction of power consumption and carbon emissions (minimum 30% - maximum 60%) Reduction of energy costs (depending on DCs location) Quality of Service Management and load balancing Compliance with Service Level Agreement Reduced Inter-DC Com

 Deliverables

List of deliverables.
EcoMultiCloud results assessment and algorithm optimisation Documents, reports 2019-05-31 11:57:58

Take a look to the deliverables list in detail:  detailed list of EcoMultiCloud deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Agostino Forestiero, Carlo Mastroianni, Michela Meo, Giuseppe Papuzzo, Mehdi Sheikhalishahi
Hierarchical Approach for Efficient Workload Management in Geo-Distributed Data Centers
published pages: 97-111, ISSN: 2473-2400, DOI: 10.1109/TGCN.2016.2603586
IEEE Transactions on Green Communications and Networking 1/1 2019-06-13
2016 Carmine De Napoli, Agostino Forestiero, Demetrio Laganà, Giovanni Lupi, Carlo Mastroianni, Leonardo Spataro.
Business Scenarios for Geographically Distributed Data Centers
published pages: , ISSN: , DOI:
Technical Report RT-ICAR-CS-16-03 2019-06-13
2016 Carmine De Napoli, Agostino Forestiero, Demetrio Laganà, Giovanni Lupi, Carlo Mastroianni, Leonardo Spataro.
Efficiency and Green Metrics for Distributed Data Centers
published pages: , ISSN: , DOI:
Technical Report RT-ICAR-CS-16-04 2019-06-13
2017 Agostino Forestiero, Demetrio Laganà, Carlo Mastroianni.
Performance Evaluation of EcoMultiCloud, a Hierarchical Algorithm for Green and Cost-Efficient Workload Management in Geo-distributed Data Centers.
published pages: , ISSN: , DOI:
ICAR Technical Report (Istituto di Calcolo e Reti ad alte prestazioni – CNR) RT -ICAR-CS -17-01 (October, 20 2019-06-13

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The information about "ECOMULTICLOUD" are provided by the European Opendata Portal: CORDIS opendata.

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