6 research outputs found
Microservices: Granularity vs. Performance
Microservice Architectures (MA) have the potential to increase the agility of
software development. In an era where businesses require software applications
to evolve to support software emerging requirements, particularly for Internet
of Things (IoT) applications, we examine the issue of microservice granularity
and explore its effect upon application latency. Two approaches to microservice
deployment are simulated; the first with microservices in a single container,
and the second with microservices partitioned across separate containers. We
observed a neglibible increase in service latency for the multiple container
deployment over a single container.Comment: 6 pages, conferenc
Enabling Community Health Care with Microservices
Microservice architectures (MA) are composed of
loosely coupled, course-grained services that emphasise resilience and autonomy, enabling more scalable applications to be developed. Such architectures are more tolerant of changing demands from users and enterprises, in response to emerging technologies and their associated influences upon human interaction and behaviour. This article looks at microservices in the Internet of Things (IoT) through the lens of agency, and using an example in the community health care domain explores how a complex application scenario (both in terms of software and hardware interactions) might be modelled
Microservices : granularity vs. performance
Microservice Architectures (MA) have the potential to increase the agility of software development. In an era where businesses require software applications to evolve to support emerging software requirements, particularly for Internet of Things (IoT) applications, we examine the issue of microservice granularity and explore its effect upon application latency. Two approaches to microservice deployment are simulated; the first with microservices in a single container, and the second with microservices partitioned across separate containers. We observed a negligible increase in service latency for the multiple container deployment over a single container