Szczegóły publikacji

Opis bibliograficzny

An execution controller enabling autonomic features in the cloud-native environment / Joanna KOSIŃSKA, Kinga Sąkól, Michał Szczurek // ACM Transactions on Internet Technology ; ISSN  1533-5399 . — 2026 — vol. 26 no. 2 art. no. 26, s. 1–24. — Bibliogr. s. 22–24, Abstr. — Publikacja dostępna online od: 2026-03-24

Autorzy (3)

Słowa kluczowe

autonomic computingcloud-nativecontainerKubernetesACCNEEcloud-native execution environmentorchestrator

Dane bibliometryczne

ID BaDAP167430
Data dodania do BaDAP2026-05-20
Tekst źródłowyURL
DOI10.1145/379970
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaACM Transactions on Internet Technology

Abstract

Software systems have reached a significant level of complexity. Most applications are designed with Cloud Computing in mind, according to DevOps concepts, CI/CD, containers, and microservices. These applications are referred to as Cloud-native applications. Despite the undeniable benefits, such as scalability, high availability, and efficient system deployment, this paradigm presents several challenges. One of them is ensuring that the system is autonomic, namely that the system is able to automatically adjust its behavior in response to changes in state and external factors. In this article, we opt for the fact that to enable autonomic features in any system, actions must address the whole execution environment. The proposed architecture of an action distinguishes three of its possible states that are: definition, planning, and processing. In each state, actions can be characterized by properties that cover aspects such as prioritization or idempotency restrictions. Then, we propose an architecture of the execution controller—a component processing the actions and responsible for modification of the Cloud-native execution environment in response to occurring anomalies. The proposed solution was evaluated with respect to performance, management capabilities and the impact on autonomy. Hence, showing improvement of dynamic Cloud-native execution environments.

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