R. Kusber, S. Haseloff, und K. David. Proceedings of the IADIS Multi Conference on Computer Science and Information Systems - Intelligent Systems and Agents, Seite 188-192. Amsterdam, The Netherlands, IADIS Press, (Juli 2008)
Zusammenfassung
In order to overcome the problem of rapidly increasing computer system complexity, scientists and developers equip systems and applications with autonomic behavior. A number of research fields have been investigated to find out how autonomicity for computing systems can be created. In this paper we elaborate the domain of making a decision on deploying a service on a device, where deployment can be copying or moving a service from a source to a target device or to access the service remotely. We present an approach for deployment decision making (DDM) which is capable of selecting the one deployment alternative out of many that has maximal usefulness according to a set of defined user preferences. Within that scope, we define an appropriate terminology, describe a music download scenario, and evaluate experimentations we have done on that.
%0 Conference Paper
%1 Kusber2008
%A Kusber, Rico
%A Haseloff, Sandra
%A David, Klaus
%B Proceedings of the IADIS Multi Conference on Computer Science and Information Systems - Intelligent Systems and Agents
%C Amsterdam, The Netherlands
%D 2008
%I IADIS Press
%K ComTec itegpub
%P 188-192
%T Towards Autonomic Deployment Decision Making
%X In order to overcome the problem of rapidly increasing computer system complexity, scientists and developers equip systems and applications with autonomic behavior. A number of research fields have been investigated to find out how autonomicity for computing systems can be created. In this paper we elaborate the domain of making a decision on deploying a service on a device, where deployment can be copying or moving a service from a source to a target device or to access the service remotely. We present an approach for deployment decision making (DDM) which is capable of selecting the one deployment alternative out of many that has maximal usefulness according to a set of defined user preferences. Within that scope, we define an appropriate terminology, describe a music download scenario, and evaluate experimentations we have done on that.
@inproceedings{Kusber2008,
abstract = {In order to overcome the problem of rapidly increasing computer system complexity, scientists and developers equip systems and applications with autonomic behavior. A number of research fields have been investigated to find out how autonomicity for computing systems can be created. In this paper we elaborate the domain of making a decision on deploying a service on a device, where deployment can be copying or moving a service from a source to a target device or to access the service remotely. We present an approach for deployment decision making (DDM) which is capable of selecting the one deployment alternative out of many that has maximal usefulness according to a set of defined user preferences. Within that scope, we define an appropriate terminology, describe a music download scenario, and evaluate experimentations we have done on that.},
added-at = {2016-04-16T19:00:23.000+0200},
address = {Amsterdam, The Netherlands},
author = {Kusber, Rico and Haseloff, Sandra and David, Klaus},
biburl = {https://www.bibsonomy.org/bibtex/2620cc785060de302996d359438d3d791/comtec_pub},
booktitle = {Proceedings of the IADIS Multi Conference on Computer Science and Information Systems - Intelligent Systems and Agents},
interhash = {372a0734d460f7e5c077b7a833b41db9},
intrahash = {620cc785060de302996d359438d3d791},
keywords = {ComTec itegpub},
month = {July},
pages = {188-192},
publisher = {IADIS Press},
series = {MCCSIS'08},
timestamp = {2016-10-28T09:41:24.000+0200},
title = {Towards Autonomic Deployment Decision Making},
year = 2008
}