Author: boru

Research Slam on «Fog-Cloud Continuum Framework» and other Swiss-Latin American cooperation projects

The University of St. Gallen, through its Latin-American-Swiss Center (CLS-HSG), is the Leading House for the Latin American region, granting incentives and developing joint research cooperation projects with numerous Latin American countries. One of the grant recipients is the Service Prototyping Lab at Zurich University of Applied Sciences, bringing programmability to fog-cloud continuum computing with its parters from UNICAMP in Brazil. In this blog post, a recent research slam featuring this and other chosen projects is summarised.

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Building a Singer.io tap for an open data source

Singer.io is an open-source JSON-based data shifting (ETL: extract, transform, load) framework, designed to bring simplicity when moving data between a source and a destination service on the Internet. In this post, we present the framework as entry point into the world of SaaS-level data exchange and some associated research questions.

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Lambada update: Transforming Python code into cloud functions for multiple FaaS providers

For rapid development, deployment and testing of applications based on many cloud functions, code transformation tools are on the rise. With a process called “FaaSification”, they turn code into cloud functions by following annotations or decorators specified for developers. Termite for Java, Node2FaaS for JavaScript, and Lambada for Python are representative examples of this new class of tools, related also to other overlay tools such as PyWren. This blog post summarises the recently added software features for Lambada.

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Calculating net cost of AWS Lambda Functions

With the increased adoption of serverless computing, so is the need to optimise cloud functions, to make use of resources as efficiently as possible, and to lower the overall costs in the end. At the Service Prototyping Lab at Zurich University of Applied Sciences, we investigate how cloud application and platform providers can achieve a fairer billing model which comes closer to actual utility computing where you pay only for what you really use. We demonstrate our recent findings with AWS Lambda function pricing.

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