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Research

Here you will find references for academic projects, papers, and the research interests of Pystol.

Articles

  1. Chaos as a Software Product Line
    A platform for improving open hybrid-cloud systems resiliency
  2. Chaos in the core
    Improving software-defined and cloud-native systems resiliency for 5G core networks

Chaos as a Software Product Line
A platform for improving open hybrid-cloud systems resiliency

Status: Submitted to Transactions on cloud computing ‘Under review’

Chaos in the core
Improving software-defined and cloud-native systems resiliency for 5G core networks

Status: Under development

Research interests

  • Study how fault injection actions affect the system behavior deployed over large-scale cluster configurations.
  • Stablish relationships between the injected faults, the size of the system and the impact on the system performance.
  • Study the behavior of cloud-native systems with low latency requirements (for instance IoT and TelCo use cases), service mesh and software-defined networking applications, and edge architectures.
  • Study backup, restore, and disaster recovery mechanisms after executing the fault injection actions. In this way, it is possible to recover the cluster consistent state in a shorter period of time and guarantee a reduction of the fault injection actions impact.
  • Investigate different real-world applications to generate different workloads to be processed by the system, like cpu-intensive or data-intensive applications, produce different results when the fault actions are executed.
  • Improve the observability of the system when fault injection actions are executed.