Ent processing (CEP) paradigm used inside the literature to supply complicated
Ent processing (CEP) paradigm utilized inside the literature to supply complicated reasoning about events developed at runtime, giving a set of patterns to become detected in a provided event stream. The authors focus in this operate on the CEP context, and the runtime reconfiguration will not be 2-Mercaptopyridine N-oxide (sodium) MedChemExpress considered. Tankoviet al. [8] proposed a framework c to develop architectures for distributed information systems in mobile cloud environments. The models are interrupted during execution. The model is represented as a directed graph. A procedural scripting language is applied to express complex behavior by end users. The framework permits the modeled systems to become adapted at runtime to accelerate the approach of delivering application. The distinction with respect to our perform is that they focused on mobile environment domains exactly where the information and facts system can be interpreted at runtime. Furthermore, the reconfiguration of system at runtime just isn’t regarded. B et al. [27] proposed a distributed model to capture the states of diverse nodes of cyber-physical systems (CPSs) at runtime. A time triggered protocol is applied to update the models. They applied a publish-subscribe middleware for communications. The Thonzylamine Epigenetic Reader Domain monitoring system captures the vital scenarios of interest. The concentrate of this operate is just not on the program reconfiguration at runtime. Leroy et al. [20] proposed a temporal property language for runtime monitoring of any type of executable discrete occasion model supported within a development framework. This work is independent on the modeling language or the programming language. ToAppl. Sci. 2021, 11,18 ofdeal with reconfiguration in live programming, Rozen et al. [28] utilized incremental deltas with respect to the original code of texture domain-specific model (DSLs). They applied the deltas on the operating programs by migrating them depending on their state, applying a dynamic patch architecture. The strategy does not depend on a particular programming language. It does not concentrate on monitoring the state of your system although applying changes.Table 6. Method comparison.Approach Our approachModeling Technique PN GRRsResearch Objective Behavior of Python applications, runtime analysis, Python expressions, continuous adjust Runtime analysis of Java applications, continuous alter Adapting architectures based on element syntax and semantics Monitoring nonfunctional requirements Monitoring Interpreting facts systems Monitoring Monitoring Reside programming Adaptation Runtime requirement verification Architectural runtime applicationsApplication Domain IndependentRuntime Monitoring Method ReflectionGu in et al. [3]PAMELA meta-model DSLIndependentReflectionCriado et al. [7]IndependentHeuristicsCedillo et al. [18] Valero et al. [19] Tankovic and Grbac [8] B et al. [27] Leroy et al. [20] van Rozen and van der Storm [28] Poggi et al. [29] Chatzikonstantinou and Kontogiannis [30] Heinrich [31]Meta-model BPCPN Meta-model AGM Meta-model Meta-model Executable DSLs DSLs Ontologies Fuzzy target models iObserve mega-modelCloud services Independent Mobile cloud environments Cyber-physical systems Independent Independent Adaptive application Systems-of-systems Dynamic CloudMonitoring Model transformation Monitoring Publish-Subscribe Temporal property language Model Comparison Semantic Internet Reasoning Model transformationsBased on the architectural pattern MAPE-K (Monitor, Analyze, Plan, Execute- Knowledge) [32] and semantic Internet technologies, Poggi et al. [29] proposed an method that enables the management.