{"title":"Generic Support for Policy-Based Self-Adaptive Systems","authors":"R. Anthony","doi":"10.1109/DEXA.2006.63","DOIUrl":null,"url":null,"abstract":"This paper presents a policy definition language which forms part of a generic policy toolkit for autonomic computing systems in which the policies themselves can be modified dynamically and automatically. Targeted enhancements to the current state of practice include: policy self-adaptation where the policy itself is dynamically modified to match environmental conditions; improved support for non autonomies-expert developers; and facilitating easy deployment of adaptive policies into legacy code. The policy definition language permits powerful expression of self-managing behaviours and facilitates a diverse policy behaviour space. Features include support for multiple versions of a given policy type, multiple configuration templates, and meta-policies to dynamically select between policy instances. An example deployment scenario illustrates advanced functionality in the context of a multi-policy stock trading system which is sensitive to environmental volatility","PeriodicalId":282986,"journal":{"name":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2006.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper presents a policy definition language which forms part of a generic policy toolkit for autonomic computing systems in which the policies themselves can be modified dynamically and automatically. Targeted enhancements to the current state of practice include: policy self-adaptation where the policy itself is dynamically modified to match environmental conditions; improved support for non autonomies-expert developers; and facilitating easy deployment of adaptive policies into legacy code. The policy definition language permits powerful expression of self-managing behaviours and facilitates a diverse policy behaviour space. Features include support for multiple versions of a given policy type, multiple configuration templates, and meta-policies to dynamically select between policy instances. An example deployment scenario illustrates advanced functionality in the context of a multi-policy stock trading system which is sensitive to environmental volatility