Managing Vendor Lock-in in Serverless Edge-to-Cloud Computing from the Client Side
Résumé
Serverless computing is a widely adopted cloud execution model composed of Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) offerings.
The increased level of abstraction makes vendor lock-in inherent to serverless computing, raising more concerns than previous cloud paradigms.
Multi-cloud serverless is a promising emerging approach against vendor lock-in, yet multiple challenges must be overcome to tap its potential.
First, we need to be aware of the performance and cost of each FaaS provider. Second, a multi-cloud architecture needs to be proposed before deploying a multi-cloud workflow. Domain-specific serverless offerings must then be integrated into the multi-cloud architecture to improve performance or save costs.
Moreover, dealing with serverless offerings from multiple providers is challenging. Finally, we require workload portability support for serverless multi-cloud.
In this thesis, we present a multi-cloud library for cross-serverless offerings.
We develop the End Analysis System (EAS) to support comparison among public FaaS providers in terms of performance and cost.
Moreover, we design proof-of-concept multi-cloud architectures with domain-specific serverless offerings to alleviate problems such as data gravity.
Finally, we deploy workloads on these architectures to evaluate several public FaaS offerings.
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