Publication in conference proceedings
Software Greenability: A Case Study of Cloud-Based Business Applications Provisioning
Hayri Acar (Acar, H.); Hind Benfenatki (Benfenatki, H.); Jean-Patrick Gelas (Gelas, J.-P.); Catarina Ferreira da Silva (Ferreira da Silva, C.); Gulfem I. Alptekin (Alptekin, G. I.); Aïcha-Nabila Benharkat (Benharkat, A.-N.); Parisa Ghodous (Ghodous, P.); et al.
CLOUD 2018 - IEEE 11th International Conference on Cloud Computing
Year (definitive publication)
2018
Language
English
Country
United States of America
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Abstract
The emission of CO2 due to ICT (Information and Communication Technologies) is found as equivalent to aviation sector. Although the energy consumption in ICT is due both to hardware and software. In recent decade, the energy efficiency studies focus on the hardware part, especially with the development of cloud computing. Indeed, it is the software application that is responsible for executing tasks, that indirectly affects the hardware energy consumption. This work focus on software energy consumption. We introduce a methodology which evaluates and improves the software greenability by considering its energy consumption, performance and readability. Contrary to existing methodologies, we associate the effect of several components (CPU, memory, disk and network) when estimating software energy consumption instead of considering only the CPU as it is the case in literature. Moreover, the proposed framework can dynamically examine source code to integrate some measurement functionality. A Tool to Estimate Energy Consumption (TEEC) is implemented and its applicability is demonstrated on the case of cloud-based business application provisioning software, called MADONA. MADONA allows dy- namically generating service-oriented business applications by automatically composing business services and automatically deploying the generated applications on cloud environment.
Acknowledgements
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Keywords
Green IT,energy efficiency,cloud computing,use case,automatic business application provisioning
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology

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