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ddiruscio 97fba407ce Major2
2025-06-05 22:07:12 +02:00

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:content {:text "challenges related to the3 design of these block diagrams and the IoT system involved."},
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:content {:text " unified language for modeling WWTP5 process block diagram"},
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:content {:text "management and adaptation of the system to9 address functional requirements and quality of service (QoS) at10 run-time."},
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:content {:text "A 81 model-based infrastructure for the specification and runtime 82 execution of self-adaptive IoT architectures."},
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:content {:text " Both the DSL and the code 64 generator are implemented using MPS 1, a language workbench 65 developed by JetBrains to design DSLs."},
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:content {:text "WTP process block diagram — We enable the specifica-26 tion of the main operating units such as filters, grit cham-27 bers, biological reactors, and the flow—either water or28 sludge—between these operating units."},
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:content {:text "adap- 37 tation rules"},
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:content {:text "igure 3 defines the concepts for16 the specification of functional and adaptation rules"},
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:content {:text "A Rule is composed of an Expression—condition relation-18 ship—and multiple Actions that are executed on the system if19 the condition is true during a defined perio"},
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:content {:text "Expression concept by adding sensor and QoS25 conditions that can be combined also with all other types of26 expressions—e.g., BinaryOperations, Literals, or BooleanCon-27 stants—in a complex conditional expression."},
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:content {:text "QoSCondition allows detecting unusual values 40 in QoS and system infrastructure metrics. For example, high 41 RAM and CPU consumption in one specific node (edge, fog, or 42 cloud), or in a group of nodes belonging to a Region."},
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:content {:text "This new feature of the DSL is 60 relevant for the case of wastewater treatment, but could also be 61 useful in other scenarios or application cases."},
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:content {:text "o define the types of conditions, metrics to monitor, and1 types of actions that cover our language, we relied on our sys-2 tematic literature review (SLR) (Alfonso et al. 2021b), which3 provides a comprehensive and holistic view of the current state4 of the art in IoT adaptation."},
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:content {:text " The definition12 and implementation of these rules improves the accuracy of the13 DSL and avoids errors that could occur at run-time."},
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:content {:text "The modeling of rules—functional or adaptive—is per- 37 formed following a textual notation. A condition, a period, and 38 a list of actions must be defined for a rule."},
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:content {:text "he actions of a rule are specified in a vertical list that 60 includes the type of action and all the parameters involved in 61 the action. "},
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:content {:text "operate on a knowledge base"},
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:content {:text "Sensor data — The data captured by the system’s sensors, such5 as temperature, suspended solids, level, or pressure. These6 metrics are collected using a monitor subscribed to the7 topics where the sensors publish the data."},
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:content {:text "facilitate the tasks performed in the later stages"},
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:content {:text " notification received in the Plan stage, an adapta-32 tion plan is designed with the set of actions—e.g. scaling an33 application—"},
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:content {:text " JSON format via HTTP POST requests to37 the Adaptation Engine."},
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:content {:text "K3S6, a Kubernetes-based orches-42 trator optimized for IoT and edge environments"},
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:content {:text "ontainer-based IoT applications specified in the input 54 model."},
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:content {:text "monitoring tools "},
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:content {:text "Adaptation Engine."},
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:content {:text "DSL for IoT system modeling of a WWTP 70 extends the aspects designed by the language presented in"},
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:content {:text " process block diagram and conditions and actions of a rule10 that involves groups of sensors and actuators"},
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