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Konstantinos Tserpes 한국통신학회 2019 ICT Express Vol.5 No.2
Broad deployment of IoT solutions has resulted in the emergence of a large number of applications that generate value from processing the resulting high-frequency data streams. To meet the temporal requirements of those arbitrary simple applications, practitioners commonly employ monolithic approaches. However, the need for low cost and reusable solutions have rendered those approaches obsolete. This paper addresses this issue by discussing how microservice architectures (MSA) can deliver robust and low-cost solutions to manage the data load and real-time requirements. The motivation is to provide a methodology (stream-MSA) that will enable the easy and effective migration of suchlike applications to an MSA approach.
George Kousiouris,Stylianos Tsarsitalidis,Evangelos Psomakelis,Stavros Koloniaris,Cleopatra Bardaki,Konstantinos Tserpes,Mara Nikolaidou,Dimosthenis Anagnostopoulos 한국통신학회 2019 ICT Express Vol.5 No.2
With the usage of technologies like the Internet of Things and Cloud, spanning across the spectrum of manufacturing, production and distribution, typical supply chain management (SCM) systems rely on a multitude of services for support. The aim of this paper is to present an integrated system microservice architecture and implementation, consuming and semantically annotating data feeds from online systems, while performing post-processing tasks such as supply chain monitoring, goods location analysis and estimated delays. Suitable application code programmed through intuitive workflow-programming based structures is also injected while the approach is validated through a set of deployment scenarios.