O. S. Ligaarden, M. S. Lund, Atle Refsdal, Fredrik Seehusen, K. Stølen
{"title":"An architectural pattern for enterprise level monitoring tools","authors":"O. S. Ligaarden, M. S. Lund, Atle Refsdal, Fredrik Seehusen, K. Stølen","doi":"10.1109/MESOCA.2011.6049035","DOIUrl":null,"url":null,"abstract":"Requirements from laws and regulations, as well as internal business objectives and policies, motivate enterprises to implement advanced monitoring tools. For example, a company may want a dynamic picture of its operational risk level, its performance, or the extent to which it achieves its business objectives. The widespread use of information and communication technology (ICT) supported business processes means there is great potential for enterprise level monitoring tools. In this paper we present an architectural pattern to serve as a basis for building such monitoring tools that collect relevant data from the ICT infrastructure, aggregate this data into useful information, and present this in a way that is understandable to users.","PeriodicalId":305930,"journal":{"name":"2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MESOCA.2011.6049035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Requirements from laws and regulations, as well as internal business objectives and policies, motivate enterprises to implement advanced monitoring tools. For example, a company may want a dynamic picture of its operational risk level, its performance, or the extent to which it achieves its business objectives. The widespread use of information and communication technology (ICT) supported business processes means there is great potential for enterprise level monitoring tools. In this paper we present an architectural pattern to serve as a basis for building such monitoring tools that collect relevant data from the ICT infrastructure, aggregate this data into useful information, and present this in a way that is understandable to users.