Abstract
In the rapidly evolving landscape of modern applications, the Edge-Cloud Continuum emerges as a pivotal paradigm, promising unprecedented flexibility and efficiency in service deployments. As the demand for low-latency, high-throughput applications intensifies, the Continuum provides a dynamic framework, enabling the distribution of computational tasks between centralized cloud servers and decentralized edge devices. However, the transition from traditional cloud-centric models to the Continuum introduces complexities that necessitate careful consideration. Besides development, Continuum applications call for a placement process with the aim to allocate services to the best suitable deployment node, according to application requirements and nodes capabilities. Furthermore, controlling non-functional properties within the Cloud-Edge Continuum and balancing trade-offs between performance, reliability, and security becomes increasingly intricate in this distributed architecture. This paper addresses the above challenges proposing MUSA, a deployment platform for data-intensive workflows of services integrating continuous non-functional properties verification.
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Notes
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ISO - ISO/IEC 25010:2011—Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE)—System and software quality models.
- 3.
ISO - ISO/IEC 25012:2008—Software engineering - Software product Quality Requirements and Evaluation (SQuaRE)—Data quality model.
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Acknowledgment
This work is partly supported by the project MUSA – Multilayered Urban Sustainability Action – project, funded by the European Union – NextGenerationEU, under the National Recovery and Resilience Plan (NRRP) Mission 4 Component 2 Investment Line 1.5: Strengthening of research structures and creation of R &D “innovation ecosystems”, set up of “territorial leaders in R&D” (CUP G43C22001370007, Code ECS00000037). It is also partially supported by Università degli Studi di Milano via the program “piano sostegno alla ricerca” and “One Health Action Hub: University Task Force for the resilience of territorial ecosystems”, – PSR 2021 – GSA – Linea 6.
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Anisetti, M. et al. (2024). MUSA: A Platform for Data-Intensive Services in Edge-Cloud Continuum. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-57931-8_32
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