The document discusses the CloudLightning project aimed at creating a self-organizing cloud resource provisioning system to enhance accessibility and efficiency for both consumers and providers. Key benefits include improved computational performance, reduced costs, and faster processing times for high-performance computing (HPC). Funded by the EU's Horizon 2020 program, the project targets advancements in cloud services and aims to progress through technology readiness levels by deploying a prototype for testing.

1. 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.
8PARTNERS
University 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.
GLOBALHPCMARKETGROWTH
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 643946
YEAR
1
YEAR
2
YEAR
3
2013 2015 2018
$38.1bn
$30.5bn
$32.1bn
Use Case Requirements
and Characterisation
Integrated Use Cases
Infrastructure Gateway
Service Report
CloudLightning Plugin
Large Scale Modelling and
Simulation
Implementation 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 DOMAINS
and 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
$1.5bn
Traditional 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.