Philipp Leitner

Bursting with Possibilities -- An Empirical Study of Credit-Based Bursting Cloud Instance Types

2015

We study the performance and cost efficiency as perceived by the end user of a specific class of Infrastructure-as-a-Service (IaaS) cloud instances, namely credit-based bursting instances. This class of instance types has been introduced by …

Machine Learning Systems are Bloated and Vulnerable

2022 · arXiv (Cornell University)

Today's software is bloated with both code and features that are not used by most users. This bloat is prevalent across the entire software stack, from operating systems and applications to containers. Containers are lightweight …