Implementing time critical functionalities with a distributed adaptive container architecture
Software developers increasingly need to include time critical functionalities in their Web applications. Examples of these can be Internet of Things (IoT) gaming systems, instant messaging, video conferencing, and similar. Ensuring the Quality of Service (QoS) for such applications has been a challenging issue mostly due to runtime variations in the network quality between the clients and the service running in the Cloud. In this paper, we propose an adaptive multi instance container based architecture called Autonomous Self Adaptation Platform (ASAP) that applies an edge computing concept with technologies, such as Docker and Kubernetes to facilitate the desired QoS for every single usage event of the time critical functionality. We use a "File Upload" use case as an example to explore time critical functionality. Each time a client needs to use the File Upload functionality, a specific setup, physical host selection and resources allocation is made in order to provide the desired QoS to that functionality.
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