{"title":"Algorithmic node classification in AND/OR mobile workflow graph","authors":"Ihtisham Ali, S. Bagchi","doi":"10.1504/ijguc.2020.10024769","DOIUrl":null,"url":null,"abstract":"The data-intensive applications employ complex workflow graph models in dynamic networks having heterogeneity and mobility of nodes, which result in enhanced end-to-end delay in executions. The current workflow models lack structural stability for visualising a complex workflow graph. This paper proposes a hybrid AND/OR mobile workflow graph (MWG) model to visualise a fully conditioned complex workflow graph containing mobile nodes. This paper proposes nodes validity detection (NVD) algorithm for classifying the total number of nodes in the AND/OR MWG. Furthermore, nodes criticality detection (NCD) algorithm is also proposed to identify the set of critical nodes in the AND/OR MWG aiming to enable efficient analysing, mapping and scheduling of complex workflow graphs in a dynamic network environment. The algorithms are implemented and evaluated on Java platform and, the regression analysis is performed to project the algorithmic performances. A detailed comparative analysis with other works is presented in this paper.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Grid Util. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijguc.2020.10024769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The data-intensive applications employ complex workflow graph models in dynamic networks having heterogeneity and mobility of nodes, which result in enhanced end-to-end delay in executions. The current workflow models lack structural stability for visualising a complex workflow graph. This paper proposes a hybrid AND/OR mobile workflow graph (MWG) model to visualise a fully conditioned complex workflow graph containing mobile nodes. This paper proposes nodes validity detection (NVD) algorithm for classifying the total number of nodes in the AND/OR MWG. Furthermore, nodes criticality detection (NCD) algorithm is also proposed to identify the set of critical nodes in the AND/OR MWG aiming to enable efficient analysing, mapping and scheduling of complex workflow graphs in a dynamic network environment. The algorithms are implemented and evaluated on Java platform and, the regression analysis is performed to project the algorithmic performances. A detailed comparative analysis with other works is presented in this paper.