Evolution for the sustainability of Internetware.
Fang, Daren; Liu, Xiaodong; Liu, Lin; Yang, Hongji
Prof Xiaodong Liu X.Liu@napier.ac.uk
Along with the green attentions and efforts on energy efficiency of computer hardware and embedded systems, software relevant sustainability issues are becoming increasingly focused, as a part of Green Information Technology (GIT). Undoubtedly, software evolution capability is a vital part in achieving such sustainability, as software that is not adaptable will become obsolete sooner or later. Internetware is currently one of the prevailing paradigms of software evolution, known as its autonomous, cooperative, situational, evolvable, emergent and trustworthy. In this paper, we propose an approach of evolution focusing on sustainability for Internetware software entities. Targeting certain software systems which cannot actively control their functions, service components or attached actuators energy-efficiently, the proposed transformation mechanism can intelligently implement power management adaptations using Web Ontology Language (OWL) -based user behavioral profiles and reasoning mechanisms. In the effort of increasing the sustainability, the transformation consequently enables a greener, predicted and rapidly adapted evolution.
Fang, D., Liu, X., Liu, L., & Yang, H. (2012). Evolution for the sustainability of Internetware. In Proceedings of Internetware'12. https://doi.org/10.1145/2430475.2430492
|Conference Name||Fourth Asia-Pacific Symposium on Internetware|
|Start Date||Oct 30, 2012|
|End Date||Oct 31, 2012|
|Online Publication Date||Oct 30, 2012|
|Publication Date||Oct 30, 2012|
|Deposit Date||Apr 24, 2013|
|Publisher||Association for Computing Machinery|
|Peer Reviewed||Peer Reviewed|
|Book Title||Proceedings of Internetware'12|
|Keywords||Energy efficiency; Green Information Technology (GIT); Internetware; Web Ontology Language (OWL);|
You might also like
Towards OWL 2 Natively Supported Fuzzy Cloud Ontology
TARGO: transition and reallocation based green optimization for Cloud VMs.
OCSO: Off-the-cloud service optimization for green efficient service resource utilization
A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval.