{"title":"Taming software adaptability with architecture-centric framework","authors":"Bo Ding, Huaimin Wang, Dian-xi Shi, Jiannong Cao","doi":"10.1109/PERCOM.2010.5466983","DOIUrl":null,"url":null,"abstract":"In many cases, we would like to enhance the predefined adaptability of a running application, for example, to enable it to cope with a strange environment. To make such kind of runtime modifications is a challenging task. In existing engineering practices, the online policy upgrade approach just focuses on the modification of adaptation decision logic and lacks system-level means to assess the validity of an upgrade. This paper proposes a framework for adaptive software that supports the online reconfiguration of each concern in the “sensing-decision-execution” adaptation loop. To achieve this goal, our framework supports an architecture style which encapsulates adaptation concerns as software architecture elements. And then, it maintains a runtime architecture model to enable the dynamic reconfiguration of those elements as well as help to ensure the validity of a change. A third party can selectively add, remove or replace part of this model to enhance the running application's adaptability. We validated this framework by two cases extracted from real life.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"567 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOM.2010.5466983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In many cases, we would like to enhance the predefined adaptability of a running application, for example, to enable it to cope with a strange environment. To make such kind of runtime modifications is a challenging task. In existing engineering practices, the online policy upgrade approach just focuses on the modification of adaptation decision logic and lacks system-level means to assess the validity of an upgrade. This paper proposes a framework for adaptive software that supports the online reconfiguration of each concern in the “sensing-decision-execution” adaptation loop. To achieve this goal, our framework supports an architecture style which encapsulates adaptation concerns as software architecture elements. And then, it maintains a runtime architecture model to enable the dynamic reconfiguration of those elements as well as help to ensure the validity of a change. A third party can selectively add, remove or replace part of this model to enhance the running application's adaptability. We validated this framework by two cases extracted from real life.