by Josef Spillner
The third invited talk in our colloquium series in 2018 was given by Martin Garriga, at that time finishing his time as post-doctoral fellow at Politecnico di Milano’s Deep SE group, and now continuing as lecturer at the Informatics Faculty at National University of Comahue (UNComa) in Patagonia, Argentina. Martin, like several people at the Service Prototyping Lab, has been interested for quite some time in serverless computing, as evidenced by his ESOCC 2017 article on empowering low-latency applications with OpenWhisk and related tools (see details). In his colloquium talk, entitled «Towards the Serverless Continuum», he reflected on this work and proposed a wider view on a spectrum from mobile applications over edge nodes to, eventually, powerful cloud platforms.
As the trend continues to move towards Serverless Computing, Edge Computing and Functions as a Service (FaaS), the need for a storage system that can adapt to these architectures grows ever bigger. In a scenario where smart cars have to make decisions on a whim, there is no chance for that car to ask a data center what to do in this scenario. These scenarios constitute a driver for new storage solutions in more distributed architectures. In our work, we have been considering a scenario in which there is a distributed storage solution which exposes different local endpoints to applications distributed over a mix of cloud and local resources; such applications can give the storage infrastructure and indicator of the nature of the data which can then be used to determine where it should be stored. For example, data could be considered to be either latency-sensitive (in which case the storage system should try to store it as locally as possible) or loss sensitive (in which case the storage system should ensure it is on reliable storage). Continue reading