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Advances, Systems and Applications

Table 10 Overview of research gaps and opportunities identified

From: Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature review

Research topic

Research gaps and opportunities

Multi-cloud concept [RQ1, RQ2]

• Cloud continuum characterization and understanding

• Incorporation of new paradigms to the multi-cloud concept: fog computing, osmotic computing

Multi-cloud by design [RQ3]

• Architectural patterns for multi-cloud native applications

• Means and methods to model at high level of abstractions (platform/technology independent) heterogeneous infrastructural elements and application components.

• Linking the applications models to the infrastructural models through NFRs characterization especially network, communications, security (i.e. especially data sharing) or even legal

DevOps for multi-cloud [RQ4]

• Lightweight benchmarking and multi-objective optimization for the selection of the best combination of infrastructural elements.

• Federation models for the cloud continuum, including IoT and networks elements to the traditional cloud services.

• Application self-healing and migration at run time, with special focus on data portability and stateful components

Multi-cloud security [RQ5]

• Standard security models or SLAs to evaluate security

• Conflicting security policies

• Frameworks to provide, assess and monitor security with a quantitative approach

• Trustable cloud services

• Cloud security posture management

Multi-cloud certification

• Compositional cloud certification and combination with IoT and 5G certification