QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Green: The New Computing Coat of Arms?
IT Professional
Fine-grained energy profiling for power-aware application design
ACM SIGMETRICS Performance Evaluation Review
Communications of the ACM
Toward energy-efficient computing
Communications of the ACM
Energy-Aware Design of Service-Based Applications
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Virtual machine power metering and provisioning
Proceedings of the 1st ACM symposium on Cloud computing
Self-optimisation of the energy footprint in service-oriented architectures
Proceedings of the 1st Workshop on Green Computing
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
Creating environmental awareness in service oriented software engineering
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Towards green business process reengineering
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Layered Green Performance Indicators
Future Generation Computer Systems
The Differences and Commonalities between Green and Conventional Business Process Management
DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
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Due to the increasing usage of modern IT service centers, energy consumption has been one of the top concerns for administrators. Many indicators have been proposed with different aims at several levels, but what is missing is an approach for presenting them together within meaningful indexes. The goal of this paper is to introduce our approach to support inter-relationships identification for heterogeneous indicators. The presented aggregation framework aims to make indicators comparable through normalization functions and to properly express the indicator relevance within aggregated values. Thus, the normalization deals with four indicators thresholds and the aggregation calculates the indicator violation impact from the system perspective. The approach is demonstrated with GAMES project testbed measured indicators and presented in a dashboard prototype tool.