Adapting Service lifeCycle towards EfficienT Clouds (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 in Clouds.

Extend the existing development models for green and efficient software design, supporting sustainability and high quality of service during development and execution

Develop and evaluate a framework with identified energy efficiency parameters and metrics for Cloud services

Develop methods to measure, analyse and evaluate energy consumption in software development and execution

Integrate energy and quality efficiency into service construction, deployment and operation leading to an Energy Efficiency Embedded Service Lifecycle

Latest News & Events

Pricing Schemes for Energy Efficiency
This document proposes new pricing schemes that will charge cloud users based on their actual consumption and energy efficiency of cloud resources, as ASCETiC intends to create an energy-efficient and, at the same time, economically sustainable ecosystem.
Inter-Layer Cloud Stack Adaptation
This document describes the scientific work and software packages in the third iteration of the ASCETiC Toolbox, explaining the individual scientific contributions per component and presenting how each layer in the architecture can be used and interacts with other layers.
Verification and Validation Approach (Year 3)
This document presents the validation and verification approach for Y3 of the ASCETiC project. During this year, the focus of the validation and verification process is broadening to address inter-layer self-adaptation, not only energy awareness and intra-layer self-adaptation as in previous years.
Architecture Specification (Year 3)

In Year 1, research focused in energy awareness In Year 2, research has focused in intra-layer adaptation.

Requirements Specification (Year 3)

Year 1 requirements mainly focused on energy awareness, while Year 2 focused on self-adaptation. In Year 3 the focus is on explore how the self-adaptation can be performed in a more cooperative way between the different layers of a Cloud stack to avoid actions potentially with counter-effects.

State of the Art (Year 3)

This document, together with Market Analysis (Year 3), complements the Requirements Specification (Year 3). This version presents a full revision of the state of the art for technical and research topics related to updates.