1. Improved performance/cost and performance/Watt.

2. Faster speed of genome sequence computation.

3. Reduced development times. 4. Increased volume and quality of

related research.

1. Reduced CAPEX and IT associated costs.

2. Extra capacity for overflow (“surge”) workloads.

3. Faster workload processing to meet project timelines.

1. Improved physics simulations and higher resolution RTM imaging.

2. Energy and cost efficient scalable solution for RTM and OPM/DUNE simulations.

3. Reduced risk and costs of dry exploratory wells.

8PARTNERSUniversity College Cork (IE)Norwegian University of Science and Technology (NO)Institute e-Austria Timisoara (RO) Dublin City University (IE) Centre for Research and Technology Hellas (GR)Maxeler Technologies Limited (UK)Intel (IE) Democritus University Of Thrace (GR)

CloudLightning will create a new way of provisioning heterogeneous cloud resources to deliver cloud services. This new self-organising system will make the cloud more accessible to cloud consumers and provide cloud service

providers with power-efficient, scalable management of their cloud infrastructures.

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 643946

YEAR1

YEAR2

YEAR3

2013 2015 2018

$38.

1bn

$30.

5bn

$32.

1bn

Use Case Requirementsand Characterisation

Integrated Use CasesInfrastructure Gateway Service ReportCloudLightning Plugin

Large Scale Modelling and SimulationImplementation and Evaluation

CloudLightning will progress from TRL 2 to TRL 7.This will be achieved by deploying a prototype system on

physical equipment to create a testbed, validate the system and obtain performance measurements.

ROADMAP

TARGET DOMAINSand how they can benefit from the project

http://www.cloudlightning.eu

SELF-ORGANISING, SELF-MANAGING HETEROGENEOUS CLOUD

SOURCES: Worldwide High Performance Computing 2013 Total Market Model and 2014–18 Forecast, Intersect306 Research, 2014; www.freepik.com

EXPECTED IMPACT

The HPC market is a large global market and the cloud segment is the fastest growing HPC segment.

$15.4bn$3.7bn

$1.5bnTraditional HPC Servers

and Private Clouds (2017)

Hybrid-Custom HPC Clouds (2017)

HPC Public Clouds (2017)

Increased accessibility to heterogeneous processing

resources.

Greater choice within the market.

Greater energy efficiency and reduction in associated costs.

Operational savings.