Adapting Service lifeCycle towards EfficienT (ASCETiC) is focused on providing novel methods and tools to support software developers aiming to optimise energy efficiency and minimise the carbon footprint resulting from designing, developing, deploying, and running software
ASCETiC's goal is to characterise the factors which affect energy efficiency in software development, deployment and operations. The combination of energy-awareness related to cloud environments with the principles of requirements engineering and design modeling for self-adaptive software-intensive systems will provide energy aware cloud services. The development of an integrated development environment (IDE) for the deployment of services, where the target users being software developers is the main results of ASCETiC.
- Objective 1: Extension of the existing development models for green software design, supporting sustainability at all stages of software development and execution.
- Objective 2: Development and evaluation of a framework with identified energy efficiency parameters and metrics for cloud services.
- Objective 3: Development of methods for measuring, analysing, and evaluating energy use in software development and execution.
- Objective 4: Integration of energy efficiency into service construction, deployment, and operation leading to an Energy Efficiency Embedded Service Lifecycle.
ASCETiC will result in an implementation of an open-source Cloud stack providing energy efficiency at software, platform, and infrastructure layers. The consortium will also provide incremental versions of ASCETiC with respect to energy efficiency, while the ASCETiC solution will be demonstrated in two commercial use cases.
AUEB will participated in all WPs of the project. It is a significant contributor to the dissemination of project work and in the investigation of business and economic modelling issues. More specifically, we will participate in the design of pricing and charging mechanisms to take into account energy consumption, we will contribute to the definition of scheduling mechanisms and algorithms to optimize energy efficiency and also we will investigate trade-off issues between performance and energy efficiency. Furthermore, AUEB will be the main contributor in the definition of new business models to fully exploit the ASCETiC paradigm.