5. • Today, each optimized unikernel is manually built
• Image build takes several months or longer
• Wash, rinse, repeat for each target application
• Need for significant expert resources on OS, computer systems,
kernel, etc.
The (Big) Downside with Unikernels
10. • Rationale: Current implementations of serverless computing
platforms either use containers (being thus insecure) or rely on full
blown VMs which makes them highly inefficient (e.g. Amazon EC2’s
lambda services)
• Goal: Use UNICORE technology and APIs to enable novel
serverless computing
• Develop a lambda services offering based on UNICORE and
execute trial in Barcelona, providing services (web crawling and
video transcoding functions) to citizens and especially to the
university and research community
• Integrate unikernels in PacketCloud, an edge serverless computing
platform developed by Correct Networks, and use UNICORE tools
to develop a unikernel to run lambda functions written in Node.js
• Target TRL: 7-8
UNICORE Use Case
Serverless Computing for novel cloud platforms