Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, M. Natu
{"title":"Simplifying Process Navigations - Divide and Rule way","authors":"Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, M. Natu","doi":"10.1109/ICDMW58026.2022.00020","DOIUrl":null,"url":null,"abstract":"Enterprises heavily rely on their batch processes to ensure smooth business operations. These processes contain thousands of jobs and millions of inter-dependencies. This makes it very difficult to track failures and delays, assess impact, and take timely corrective actions. Hence, it becomes very important to create logically independent groups of processes, so that it is easy to navigate, visualize, and analyze large complex processes, and highlight the areas that need attention. We present a greedy approach to find the logical groups that best meet the objective function and constraints related to batch systems. The proposed approach is implemented and used by various customers. We have validated the proposed approach on real-world customer.","PeriodicalId":146687,"journal":{"name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW58026.2022.00020","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
Enterprises heavily rely on their batch processes to ensure smooth business operations. These processes contain thousands of jobs and millions of inter-dependencies. This makes it very difficult to track failures and delays, assess impact, and take timely corrective actions. Hence, it becomes very important to create logically independent groups of processes, so that it is easy to navigate, visualize, and analyze large complex processes, and highlight the areas that need attention. We present a greedy approach to find the logical groups that best meet the objective function and constraints related to batch systems. The proposed approach is implemented and used by various customers. We have validated the proposed approach on real-world customer.