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

Summary
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
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/712363
Start date: 01-12-2015
End date: 30-11-2017
Total budget - Public funding: 1 067 915,00 Euro - 747 208,00 Euro
Cordis data

Original description

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

Status

CLOSED

Call topic

SIE-01-2015

Update Date

27-10-2022
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.3. INDUSTRIAL LEADERSHIP - Innovation In SMEs
H2020-EU.2.3.1. Mainstreaming SME support, especially through a dedicated instrument
H2020-SMEINST-2-2015
SIE-01-2015 Stimulating the innovation potential of SMEs for a low carbon energy system
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.3. SOCIETAL CHALLENGES - Secure, clean and efficient energy
H2020-EU.3.3.0. Cross-cutting call topics
H2020-SMEINST-2-2015
SIE-01-2015 Stimulating the innovation potential of SMEs for a low carbon energy system