Run-time architectural modeling for future internet applications

Abstract

Interoperability, flexibility, and adaptability are key requirements of future internet applications. Convergence of contents, services, things, and networks can be the cornerstone to fulfill these requirements. Such rich and composite sources of data and processing capabilities call for a structured and formal approach that manages and capitalizes heterogeneous information. This paper proposes an approach to the run-time composition of software system architectures, aimed at addressing goals revealed at runtime. The approach is grounded on a graph model characterized by two control levels: a metamodeling and an instantiation level. At metamodeling level, the graph describes facts that may occur in a scenario of interest, processes triggered by facts, and technologies available to execute processes. The actual occurrence of facts, together with the deriving processes and technologies, is managed at instantiation level, with reference to an application-specific model. In particular, the paper proposes an algorithm that determines an optimal way to manage a change in the run-time environment, by finding a minimum cost path in the model. The usefulness of the proposed approach and its applicability to actual scenarios have been validated in an example smart home environment.

Microservice transition and its granularity problem: A systematic mapping study

“…228,[255][256][257][258][259][260][261][262][263] Other contributions are catered for systems which exhibit a similar level of dynamism to microservices. [264][265][266] However, these contributions would need to be leveraged with objective reasoning that considers both the added value and cost of granularity adaptation.…”

“…Several contributions in this field manifest runtime changes to the architecture 228,255‐263 . Other contributions are catered for systems which exhibit a similar level of dynamism to microservices 264‐266 . However, these contributions would need to be leveraged with objective reasoning that considers both the added value and cost of granularity adaptation.…”

Energy‐efficient fog computing in Internet of Things based on Routing Protocol for Low‐Power and Lossy Network with Contiki

“…Alharbi et al 16 have discussed the determinants of technology use in Saudi Healthcare Organizations, as well as the synthesis of IoT and heterogeneous frameworks, which prompt a match or blending issue for the utility in the healthcare sector, but the framework does not address security issues. Mongiello et al 17 discussed run‐time architectural simulation for future Internet implementations to maintain the IoT security protection parameter. However, the network overhead has not been reflected in this work.…”

Presenting a new fuzzy system for web service selection aimed at dynamic software rejuvenation

“…This technique has been proposed to dealing with the aging process. Vaidyanathan et al [1] investigated an inspection-based method for preventive maintenance in a software operating system, which was inspected periodically at specific intervals based on the Markov's model. The optimum inspection interval has been obtained to minimize faults and costs.…”

“…Therefore, frequent inspections at runtime in a software system may lead to certain levels of fault and cost overheads. This should be accounted for along with the fault and cost of failure in an effort to achieve maximum efficiency [1].…”