D - 70569 Stuttgart
|Phone:||++49(0)711 / 685-64823|
|Fax:||++49(0)711 / 685-65832|
PaaSage: The PaaSage project intends to deliver an open and integrated platform, in order to support both deployment and design of cloud applications. Moreover, a methodology will be developed, which allows model-based application development, configuration, and efficient deployment of existing and new applications independently of the existing underlying cloud infrastructures. The project will provide an IDE (Integrated Development Environment) for incorporating modules at design time and optimizing execution time of applications that are specified in the Cloud Modeling Language (CloudML), execution-level mappers and a metadata database. Besides the IDE, the PaaSage platform will include:Complete software stacks (including programming models, libraries/algorithms and runtimes) for energy efficient computing;
- Executionware for abstracting the architectural models and Application Programming Interfaces (APIs) of various cloud providers, along with capabilities of monitoring the running application and possible reconfiguration to optimize its behaviour;
- Upperware which assists the application development or porting processes at design time, and then integrate with the Executionware at run-time to facilitate the optimization of the running application.
EXCESS: The EXCESS project aims at providing radically new energy execution models forming foundations for energy-efficient computing paradigms that will enable two orders of magnitude improvements in energy efficiency for computing systems. A holistic approach that involves both hardware and software aspects together has the best chances to successfully address the energy efficiency problem and discover innovative solutions. EXCESS proposed models will try to describe and bridge embedded processors models with general purpose ones. The EXCESS project is going to be driven by the following technical components that are going to be developed during EXCESS:
- Complete software stacks (including programming models, libraries/algorithms and runtimes) for energy efficient computing;
- Uniform, generic development methodology and prototype software tools that enable leveraging additional optimisation opportunities for energy-efficient computing by coordinating optimisation knobs at the different levels of the system stack, enabled by appropriate modelling abstractions at each level;
- Configurable energy-aware simulation systems for future energy-efficient architectures.
CoolEmAll: The main goal of CoolEmAll is to provide advanced simulation, visualisation and decision support tools along with blueprints of computing building blocks for modular data centre environments. Once developed, these tools and blueprints should help to minimise the energy consumption, and consequently the CO2 emissions of the whole IT infrastructure with related facilities. This will be achieved by:
- Design of diverse types of computing building blocks (ComputeBox Blueprints) well defined by energy efficiency metrics;
- Development of simulation, visualisation and decision support toolkit (SVD Toolkit) that will enable analysis and optimization of IT infrastructures built of these building blocks;
- Both computing boxes and the toolkit should take into account three aspects that have major impact on actual energy consumption: cooling model, application properties, and workload and resource management policies.
- Monitoring tools
- Cloud Computing
- Systems evaluation
- Data centres
- Eco-efficient systems
- EXCESS Execution Models for Energy-Efficient Computing Systems. Koller, B., Küster U., Sandoval, Y., Khabi, D. and Gienger Michael. Inside, Vol. 12 No. 2.
- Increase energy efficiency of data center cooling facilities with airflow optimization. Jochen Buchholz, J., Sandoval, Y., Volk, E. Presented at the IEEE SMC 2013, International Conference on Systems, Man, and Cybernetics Proceedings of the SMC 2013 conference, October 2013.
- Evaluation of Monitoring Tools for Cloud Computing Environments. Summary master thesis. Presented at Simon Bolivar University, Caracas, Venezuela. April 2013.