Planning for Software System Recovery by Knowing Design Limitations of Cloud-native Patterns

Alireza Hakamian, Floriment Klinaku, Sebastian Frank, André van Hoorn, Steffen Becker

2022

Abstract

Context. Application designers use cloud-native architectural patterns such as Circuit Breaker that come with third-party implementations to improve overall system reliability. Problem. Important quality decisions are hidden in the codebase and are usually not documented by third-party implementations. Runtime changes may invalidate, e.g., pattern’s decision assumption(s) and cause the reliant service to face unacceptable quality degradation with no recovery plan. Objective. The primary goal of this study is to derive important quality decisions of patterns independent of a particular implementation. Method. To achieve our objective, we perform exploratory research on two architectural patterns, (1) Circuit Breaker and (2) Event Sourcing, which come with different third-party implementations and that application designers often use. We formally specify the design and the guarantees of each pattern using Temporal Logic of Actions (TLA) and verify the guarantees, which guide us in deriving important quality decisions. Result. To show the usefulness of our method, we systematically generate failure scenarios for third-party implementations of Circuit Breaker and Event Sourcing patterns that compromise Hystrix’ and Kafka’s guarantees on preventing further degradation of protected services and the loss of committed messages, respectively. Conclusion. The result suggests that important quality decisions derived from formal models of the patterns help application designers prepare for unacceptable system quality degradation by knowing when a third-party implementation of the architectural patterns fails to maintain its guarantees.

Paper Citation

in Harvard Style

Hakamian A., Klinaku F., Frank S., van Hoorn A. and Becker S. (2022). Planning for Software System Recovery by Knowing Design Limitations of Cloud-native Patterns. In Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-570-8, pages 215-222. DOI: 10.5220/0011061500003200

in Bibtex Style

@conference{closer22,
author={Alireza Hakamian and Floriment Klinaku and Sebastian Frank and André van Hoorn and Steffen Becker},
title={Planning for Software System Recovery by Knowing Design Limitations of Cloud-native Patterns},
booktitle={Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2022},
pages={215-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011061500003200},
isbn={978-989-758-570-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Planning for Software System Recovery by Knowing Design Limitations of Cloud-native Patterns
SN - 978-989-758-570-8
AU - Hakamian A.
AU - Klinaku F.
AU - Frank S.
AU - van Hoorn A.
AU - Becker S.
PY - 2022
SP - 215
EP - 222
DO - 10.5220/0011061500003200