MUSA: A Platform for Data-Intensive Services in Edge-Cloud Continuum

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.