CACTOS - Context-Aware Cloud Topology Optimisation and Simulation
Last updated: 2021-10-27 03:15
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Overall Budget |
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Stakeholders
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DUBLIN CITY UNIVERSITY (Ireland)
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FZI FORSCHUNGSZENTRUM INFORMATIK (Germany)
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THE QUEEN'S UNIVERSITY OF BELFAST (Ireland)
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UMEA UNIVERSITET (Sweden)
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UNIVERSITAET ULM (Germany)
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FLEXIANT LIMITED (United Kingdom)
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PLAYGEN LIMITED (United Kingdom)
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REALTECH AG (Germany)
Academic/Research Organisations
Industry
Strategic Goals
In order to address key research challenges:
- How to model heterogeneous workloads, infrastructure-architecture models and topologies as well as facility management information and energy supplier information within a coherent information model.
- Realization of new infrastructure management methods that integrate different aspects into a unified multi-dimensional optimization model. -Development of a simulation framework for conducting costs and risk analysis in order to validate the intelligent Context-Aware Cloud Topology Optimization strategies for robustness on a large scale beyond the limits of prototypical installations and deployments
Solutions Developed / Used
CACTOS copes with the challenge of optimizing the mapping of services to a variety of different resources, which are both hardware and software related (e.g. high bandwidth demands), and require topology aware mapping. This mapping needs to consider placement of the services across geographically distributed centers and demands new intelligent and cross-domain integration of actual and historical usage data.
Description
Start Date
01/10/2013
End Date
30/09/2016
Project Focus
- Operator
Geographical Scope
- European
Keywords
- Cloud
Cloud Delivery Model
- IaaS
Project Life-Cycle Stage
- Research and Innovation
Industry
- Information and Communication
Industry
- Green Deal
- Smart Cities
Technology
- Big Data