Multi-Tier Autonomic Resource Orchestration Framework for Dynamic Service Elasticity across Federated Cloud Environments

DOI

10.2991/978-94-6239-723-1_31How to use a DOI?

Keywords

Autonomic computing; cloud federation; service elasticity; resource orchestration; quality of service; self-adaptive systems; cloud bursting; multi-tier architecture

Abstract

The Cloud-SAP framework employs a layered autonomic computing strategy to retain Quality of Service (QoS) of tenant applications in heterogeneous and distributed cloud environments.

Cloud computing uses a layered architecture composed of five levels: first, execution environment controllers (EAC); second, containerised workload orchestrators (CWO); third, application stack managers (AS); fourth, cloud instance provisioners (CP); and fifth, “federated cloud” (FC) manager for negotiating between providers.

Adaptive scaling through horizontal and vertical provisioning is facili-tated by feedback control loops at all levels. A proof-of-concept imple-mentation on Open Nebula and extensive experiments and simulations validate the approach. The results indicate that the solution reduces the cost of deployment by 20% as compared to single-layer scaling solutions, while enabling consistent application performance through coordinated decisions made across abstraction layers.

The architecture is ideal for hybrid and federated clouds with efficient collaboration of multiple providers for dynamic workloads. This approach offers an agnostic federation model for providers and a reference architecture that can be reused for enterprise cloud systems with complex multi-layered resource management.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nitin Sikri
PY  - 2026
DA  - 2026/07/14
TI  - Multi-Tier Autonomic Resource Orchestration Framework for Dynamic Service Elasticity across Federated Cloud Environments
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 342
EP  - 351
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_31
DO  - 10.2991/978-94-6239-723-1_31
ID  - Sikri2026
ER  -