Microservices Architecture for IoT Applications in the Ocean : Microservices Architecture based Framework for Reducing the Complexity and Increasing the Scalability of IoT Applications in the Ocean
{"title":"Microservices Architecture for IoT Applications in the Ocean : Microservices Architecture based Framework for Reducing the Complexity and Increasing the Scalability of IoT Applications in the Ocean","authors":"A. Razzaq","doi":"10.1109/ICCSA50381.2020.00025","DOIUrl":null,"url":null,"abstract":"This is a doctoral research symposium that is prepared to encounter the challenges of IoT systems and data in the Ocean. Managing and analyzing the big data of oceanography is difficult because of increasing the growth of massive data. The use of IoT devices/sensors is becoming more complex day by day. This research discusses the critical challenges of IoT applications and data in the Ocean, also will keep eyes on how microservice architecture plays essential roles in IoT applications. We intent to mitigate or decrease the complexity of IoT data and increase the scalability for the IoT systems in the Ocean. Also, we intend to increase a profound comprehension of the challenges and solutions, migration process, architecture design and description in MSA with IoT systems in the Ocean. We are expecting the outcome will be: (i) MSA systematic study for IoT applications, (ii) process to enhance the scalability of legacy systems (iii) adoption process of monolithic systems to MSA (iv) MSA process or software architecture selection process for IoT applications in the Ocean (v) Recommendations and Guidelines for the developer and scientific use (vi) recommendations for future work.","PeriodicalId":124171,"journal":{"name":"2020 20th International Conference on Computational Science and Its Applications (ICCSA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Computational Science and Its Applications (ICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSA50381.2020.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This is a doctoral research symposium that is prepared to encounter the challenges of IoT systems and data in the Ocean. Managing and analyzing the big data of oceanography is difficult because of increasing the growth of massive data. The use of IoT devices/sensors is becoming more complex day by day. This research discusses the critical challenges of IoT applications and data in the Ocean, also will keep eyes on how microservice architecture plays essential roles in IoT applications. We intent to mitigate or decrease the complexity of IoT data and increase the scalability for the IoT systems in the Ocean. Also, we intend to increase a profound comprehension of the challenges and solutions, migration process, architecture design and description in MSA with IoT systems in the Ocean. We are expecting the outcome will be: (i) MSA systematic study for IoT applications, (ii) process to enhance the scalability of legacy systems (iii) adoption process of monolithic systems to MSA (iv) MSA process or software architecture selection process for IoT applications in the Ocean (v) Recommendations and Guidelines for the developer and scientific use (vi) recommendations for future work.