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

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:content {:text "services are decomposed into a set26 of tasks which have to be processed by the computing27 nodes of this federation"},
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:content {:text "ncreasing the abstrac- 56 tion level from which the IoT systems are designed helps 57 to tackle the underlying technological complexity"},
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:content {:text "The main work contributions are the following:"},
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:content {:text "the resulting simulator allows users to simu-10 late suitable IoT systems where users can perform sev-11 eral tests and analyse their task scheduling proposals12 without the need for high investment in the acquisition13 of devices, their configuration, deployment, etc."},
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:content {:text "Before extending SimulateIoT towards the Cloud-17 to-Things continuum and towards task scheduling,18 it is first necessary to identify the main concepts19 of these systems"},
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:content {:text "In this regard, this section addresses these concepts24 in detail"},
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:content {:text " offloadSize which represent the size 58(bytes) of the data that have to be transmitted from the 59 source Task to the target Task"},
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:content {:text "Task Apps, which 71 can be deployed in the different nodes of the fog and 72 cloud layers."},
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:content {:text " limited to 80 consuming these resources and services."},
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:content {:text "can help these layers in the provision of these6 services and resources to the rest of the system"},
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:content {:text " they are able to provide better latency,11 request-response time, etc. This new paradigm is called12 Cloud-Edge computing"},
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:content {:text "ask scheduling is often applied to environments that28 have a Cloud-to-Things continuum infrastructure"},
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:content {:text "SimulateIoT is a hybrid simula-41 tor/emulator of IoT systems"},
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:content {:text "configuring the network where49 simulations will be deployed could be a tedious, error-50 prone and costly task."},
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:content {:text "this component 73 is the most relevant, as it is where the simulator will 74 integrate users’ task scheduling proposals,"},
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:content {:text "(classes and relations shown in Figure 4). In this re- 52 gard, note that this section does not aim to describe how 53 these components work internally, which is addressed 54 in Section 6, where M2T are presented. 55 Finally, note that in this section, to better describe 56 the elements of the metamodel, the numerical labels 57 shown in Figure 4 are used below as references in the 58 text. These references are used by means of the expres- 59 sion [class name] x , where x is the label associated 60 with the [class] in Figure 4."},
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:content {:text "offload_size, to allow users to3 model the offload size of each Workflow_edge (data4 transmission between Workflow_nodes)."},
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:content {:text "Task34 Apps that will be deployed on each fog or cloud node35 during the simulation"},
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:content {:text "Networking 69 Node code of each modelled node "},
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:content {:text "health-38 care, traffic safety and control (IoV) or industry (IIoT)"},
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:content {:text " predictive maintenance of electric 64 motors, as well as the suitability of the application of 65 IoT and task scheduling to achieve this purpose, it has 66 been considered appealing to show the application of 67 the proposed simulator in this context."},
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:content {:text "predicting the failure of 71 electric motors "},
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:content {:text " i"},
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:content {:text "ii) to generate configuration code to deploy all the20 generated services, such as the message brokers21 necessary, including the topic configurations de-22 fined, the gateway configurations, etc."},
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:content {:text "Simulation analysis"},
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:content {:text "based on51 a mathematical model, which could negatively impact52 the trustworthiness of the simulator. "},
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:extra {:page 22}}
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