RADON: rational decomposition and orchestration for serverless computing

Abstract

Emerging serverless computing technologies, such as function as a service (FaaS), enable developers to virtualize the internal logic of an application, simplifying the management of cloud-native services and allowing cost savings through billing and scaling at the level of individual functions. Serverless computing is therefore rapidly shifting the attention of software vendors to the challenge of developing cloud applications deployable on FaaS platforms. In this vision paper, we present the research agenda of the RADON project (http://radon-h2020.eu), which aims to develop a model-driven DevOps framework for creating and managing applications based on serverless computing. RADON applications will consist of fine-grained and independent microservices that can efficiently and optimally exploit FaaS and container technologies. Our methodology strives to tackle complexity in designing such applications, including the solution of optimal decomposition, the reuse of serverless functions as well as the abstraction and actuation of event processing chains, while avoiding cloud vendor lock-in through models.

COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

“…For the future, we propose to extend the COSCO framework to allow workflow models for serverless computing. Extending to serverless would allow us to perform finegrained auto-scaling, increase productivity and improve flexibility and logistics [63]. For the back-propagation approach, we wish to extend our methods to consider layer types and activations like recurrent, convolution or residual with Rectified Linear Units (ReLU).…”

Serverless Testing: Tool Vendors' and Experts' Points of View

“…The disagreements was discussed and clarified. The transcript of each interview is available in the online appendix 3 .…”

“…The goal is to test the component's services and detect anomalies associated with their interplaying interactions. For monolithic systems, testing and debugging can be done locally before deployment [5], [3].…”

Auto-scaling Using TOSCA Infrastructure as Code

“…The implementation of the proposed concept is in progress and will be finished and tested during RADON project [2]. For the orchestrator we will use xOpera [10] orchestrator with current support of TOSCA v1.3 and Prometheus [6] for monitoring.…”

“…For example, applications based on Docker and Kubernetes allow for horizontal scaling. However, applications based on Function-as-a-Service (FaaS) [2] will mainly use a combination of vertical and horizontal scaling. Almost all public provides allow manually defined values for vertical scaling, while horizontal scaling is covered by the provider.…”