activity
20142020
most citedObservability and Chaos Engineering on System Calls for Containerized Applications in Docker

42 citations · 125 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2020

A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process

Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4

In this paper we present the results of a feature importance analysis of a chemical sulphonation process. The task consists of predicting the neutralization number (NT), which is a…

cs.LG2020★ 7 cited

Towards the Automation of a Chemical Sulphonation Process with Machine Learning

Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4

Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translate…

cs.SE2020★ 24 cited

Maximizing Error Injection Realism for Chaos Engineering with System Calls

Long Zhang, Brice Morin, Benoit Baudry +1

In this paper, we present a novel fault injection framework for system call invocation errors, called Phoebe. Phoebe is unique as follows. First, Phoebe enables developers to have…

cs.SE2019★ 1 cited

Automatic Observability for Dockerized Java Applications

Long Zhang, Deepika Tiwari, Brice Morin +2

Docker is a virtualization technique heavily used in the industry to build cloud-based systems. In the context of Docker, a system is said to be observable if engineers can get acc…

cs.SE2019★ 42 cited

Observability and Chaos Engineering on System Calls for Containerized Applications in Docker

Jesper Simonsson, Long Zhang, Brice Morin +2

In this paper, we present a novel fault injection system called ChaosOrca for system calls in containerized applications. ChaosOrca aims at evaluating a given application's self-pr…

cs.SE2018★ 35 cited

A Chaos Engineering System for Live Analysis and Falsification of Exception-handling in the JVM

Long Zhang, Brice Morin, Philipp Haller +2

Software systems contain resilience code to handle those failures and unexpected events happening in production. It is essential for developers to understand and assess the resilie…