Adaptivity and adaptability are key characteristics of modern software to cope with sometimes unpredictable changes in the environment including system and user behaviour. Modern cloud-native architectures for instance foresee the case-by-case handling of decisions – e.g. to decide whether using a provider database or hosting one yourself – at the application or workflow level based on knowledge and rules or emergent behaviour. In workflows representing data flows from connected devices, the (self-)adaptivity should be modelled and supported by context-aware systems.
When cloud application developers are working with docker-compose to combine multiple microservices into a single manageable entity, they can make some easy mistakes. To prevent these mistakes, they can rely on internal validation logic, which however does not catch many of the typical issues. Therefore, researchers at the Service Prototyping Lab at Zurich University of Applied Sciences wrote a dedicated quality check and assessment tool targeting developers, but also students trying to learn the technology, which has a wider range of checks. The DCValidator tool is available as a web application (see demo instance) or command-line interface. This blog post describes how to check that docker-compose files are free of issues.
From September 15 to 20, TU Dresden’s GRK 1907 hosted the summer-school on “Development, Deployment, and Runtime of Context-Aware Software Systems”, with 3 days of invited talks and discussion among professors, students and experts in the field at the world-renown Schloss Dagstuhl, followed by 2 days of on-premises hands-on practical sessions. SPLab Team member Panos Gkikopoulos was there to attend and to present a poster of his PhD work based on MAO, though only got to experience the Dagstuhl part due to a busy schedule.
The occasion of the 3.3.2 release of the rating-charging-billing solution for cloud software and platform providers, Cyclops, is a good opportunity for a deep dive into the new forecasting engine, the how and the why of its functionality and how to use it.
First, a bit of news. Active maintenance and further updates to Cyclops will now be found under the repository https://github.com/serviceprototypinglab/cyclops. The primary new addition is the forecasting engine. It helps SaaS/PaaS/CaaS/…XaaS providers to not only charge customers for their services, but also predict a revenue flow for deciding about future investments.
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.
The University of Sharjah is the national university of the Emirate of Sharjah in the UAE. Located in the University City, the world’s largest campus, its buildings convey the uniqueness that underpins its research activities, including in computer science and engineering. We are proud to have started cooperative research and the exchange of researchers many months ago. In this blog post, our latest joint work on multi-paradigm computating in a trilateral constellation with Penta is presented.
Our work in the Service Prototyping Lab at Zurich University of Applied Sciences consists of applied research, prototype development and conveying knowledge to industry. In this context, we have worked hard over the previous two years to gather educational and hands-on material, including our own contributions, for increasingly valuable tutorials. From single lectures to half-day and eventually full-day tutorials, we aim at both technology enthusiasts and experienced engineers who are open for new ideas and sometimes surprising facts. In this reflective blog post, we report on this week’s experience of giving the full-day tutorial on microservice artefact observation and quality assessment.
From September 2 to 4, 2019, Tampere University hosted the INFORTE.fi-supported summer school on Software Evolution: From Monolithic to Cloud-Native. The Service Prototyping Lab at Zurich University of Applied Sciences contributed with five lectures (and one coincidental serverless meetup talk) to increase theoretic knowledge and practical skills of Finnish doctoral students and developers on microservices and software engineering for the cloud. All presentations are available online but as usual the slides do not capture discussions and industry relevance, so read on to get to know more about this.
As reported before, we investigate quality characteristics of decentralised applications in analogy to the usual assessment of microservice artefacts. We are happy to report on how we shared the intermediate results at the most recent Azure Blockchain meetup in Zurich, apart from reporting on the event itself.