Developing a QoS-Aware Framework for Multi-Cloud Interoperability and Service Orchestration

Bishwajeet Kumar Pandey

Developing a QoS-Aware Framework for Multi-Cloud Interoperability and Service Orchestration

Authors

Bishwajeet Kumar Pandey

PhD, FIETE, India

Keywords:

Multi-cloud', QoS-aware, Interoperability, Service Orchestration, Cloud Federation, Semantic Compatibility, Resource Optimization

Synopsis

Multi-cloud computing enables organizations to harness the capabilities of various cloud platforms, but ensuring interoperability and meeting Quality of Service (QoS) expectations remains a challenge. This paper proposes a QoS-aware framework that facilitates dynamic service orchestration across heterogeneous cloud providers. Leveraging semantic compatibility, ontology-based selection, and AI-driven decision models, the framework enhances resource provisioning, availability, and performance. We evaluate our approach using a simulation of hybrid-cloud scenarios with variable workloads and demonstrate improved latency and cost trade-offs over traditional models.

References

[1] Dastjerdi, A.V.: QoS-aware and semantic-based service coordination for multi-cloud environments. PhD Thesis, University of Melbourne (2013)

[2] Dastjerdi, A.V., Garg, S.K., Rana, O.F.: CloudPick: A framework for QoS-aware and ontology-based service deployment across clouds. Software: Practice and Experience 45(11), 1557–1583 (2015)

[3] Schreiner, F.: Resource efficient quality of service management for NGN services in federated cloud environments. PhD Thesis, TU Berlin (2015)

[4] Jayaraman, P.P., Mitra, K., Saguna, S., Åhlund, C.: Orchestrating quality of service in the cloud of things ecosystem. In: Proceedings of the IEEE World Forum on Internet of Things, pp. 70–75. IEEE Press, New York (2015)

[5] Moreno-Vozmediano, R., Montero, R.S., Huedo, E., Llorente, I.M.: Orchestrating the deployment of high availability services on multi-zone and multi-cloud scenarios. Journal of Grid Computing 16(4), 571–593 (2018)

[6] Casalicchio, E., Cardellini, V., Interino, G.: Research challenges in legal-rule and QoS-aware cloud service brokerage. Future Generation Computer Systems 88, 273–283 (2018)

[7] Gajula, S. (2024). Adaptive zero trust architecture for securing financial microservices. Computer Fraud & Security, 2024(12), 643–655. https://doi.org/10.52710/CFS.845

[8] Buyya, R., Broberg, J., Goscinski, A.M. (eds.): Cloud Computing: Principles and Paradigms. Wiley, Hoboken (2011)

[9] Bernstein, D., Ludvigson, E., Sankar, K., Diamond, S., Morrow, M.: Blueprint for the intercloud – protocols and formats for cloud computing interoperability. In: Proceedings of the 4th International Conference on Internet and Web Applications and Services, pp. 328–336. IEEE Press, New York (2009)

[10] Petcu, D.: Multi-cloud: expectations and current approaches. In: Proceedings of the 2013 International Workshop on Multi-cloud Applications and Federated Clouds, pp. 1–6. ACM, New York (2013)

[11] Gajula, S. (2024). Cybersecurity risk prediction using graph neural networks. Journal of Information Systems Engineering and Management, 9(4), 3301–3315. https://doi.org/10.52783/JISEM.V9I4S.13885

[12] Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications 1(1), 7–18 (2010)

[13] Grozev, N., Buyya, R.: Inter-cloud architectures and application brokering: taxonomy and survey. Software: Practice and Experience 44(3), 369–390 (2014)

[14] Papazoglou, M.P., van den Heuvel, W.J.: Blueprinting the cloud. IEEE Internet Computing 15(6), 74–79 (2011)

[15] Nastic, S., Le, D.-H., Truong, H.-L., Dustdar, S.: Provisioning software-defined IoT cloud systems. In: Proceedings of the 11th International Symposium on Network Computing and Applications, pp. 38–45. IEEE Press, New York (2014)

[16] Cardellini, V., Casalicchio, E., Grassi, V., Lo Presti, F., Mirandola, R.: QoS-driven runtime adaptation of service-oriented applications. In: Proceedings of the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, pp. 131–140. ACM, New York (2009)