Continuum computing is seen as next evolutionary step after cloud computing, profoundly shaping the way software applications are built and delivered based around modern microservice architectures and serverless technologies. Complex software applications are decomposed, in part automatically, to yield the best possible runtime characteristics. The community around continuum computing is growing, and a growing body of knowledge is correspondingly published.
Following our previous work on structured literature datasets, we would like to point out the interim release of the new dataset on continuum computing. The dataset has been curated by Julie Ann George.
ESOCC 2020 – the 8th European Conference on Service-Oriented and Cloud Computing – was originally scheduled to happen in April on the wonderful isle of Crete. Due to the pandemic circumstances, it will now run from September 28 to 30 as online event. We will highlight some of our recent work in an invited talk on «The Great Puzzle: Cloud Functions, Data, Services, Less Servers and More Insights».
Check out the conference website for more information on the technical programme, workshops and European R&D project presentations, and for pointers on how to participate.
The first four “wild” years of serverless computing, starting with simple Function-as-a-Service (FaaS) launches in 2014, are over, and we are in the fifth year now. All major cloud companies offer FaaS, corresponding Backend-as-a-Service (BaaS), and related “serverless” services such as frameworks for cloud function-based data processing at the edge or in constrained environments. Researchers from universities, research institutes and research divisions in companies have covered this development, and proposed improved systems and frameworks, since 2016 – trailing two years behind industry initially, but with promising designs and prototypes which may give the necessary impetus for a next-generation serverless computing paradigm. We have surveyed 130+ research papers and announce the Serverless Research Output website which makes the results accessible.