Abstract. The optimization of the cloud resources used to power a multi-agent Internet of Things architecture is an important issue which has an important impact on the overall operation cost of the architecture. The resources tenancy is a costly operation, thus their allocation and management should be optimized based on the usage patterns. The infrastructure for the multi-agent system should not be affected by the deployment or maintenance life cycle, operations require parts of the system, or even the entire system to be offline during the execution of scheduled procedures. This paper outlines of the importance of the infrastructure audit, which offers a good insight of how the resources are used, the geographical areas which are heavily used and where the allocation or release of used resources is mandatory. Also, the security audit, in a distributed multi-agent architecture that handles a large number of heterogeneous devices, represents a good mechanism for performance improvement.Key words: Internet of Things, cloud computing, multi-agent systems 1. Introduction. The recent advances in Internet of Things (IoT) technologies and the cloud computing adoption have led to an increased usage of this two paradigms to create solid architectures that are able to handle hundred of thousands of concurrent connections, at the same time offering a good Quality of Service (QoS) and Quality of Experience (QoE) for the end user. The resources renting from public cloud providers for supporting the backbone infrastructure for an IoT architecture is beneficial for small and medium-sized enterprises (SME) or academic institutions which are trying to reach a large number of clients, because there is no need to upgrade or maintain the physical infrastructure. Even though the cloud client is not completely aware of the exact location of the hardware that delivers the required information, there are methods available that can determine the best route (considering both geographical location and bandwidth) for optimal performance [39].For handling a big number of connections from a wide range of devices, an Internet of Things architecture should employ a fast, secure, reliable and fail safe infrastructure for the services offered to the end users which rely upon the manner in which the information is collected. Because of different usage patterns that result from the daily routine of different groups of users, the best solution for building an infrastructure for the IoT framework relies on the elasticity provided by the cloud computing paradigm [11,15,23,33]. Also, the operational cost for maintaining the architecture up and running can be significantly reduced by releasing unused resources at daily time intervals when the audit operations report a low usage of the infrastructure.From the reliability and operational standpoint, the core infrastructure for the multi-agent system needs to bypass any bottlenecks introduced by the on demand created infrastructure. Therefore, any replacement or restart of the virtual machines should be...
This paper presents a Multi-agent system that facilitates the remote monitoring of the elderly patients which are susceptible to mental disorder diseases. In order to find early signs of health condition depreciation we have assessed four of the most common mental disorder diseases to find which kind of sensors can detect specific symptoms with the main purpose of creating an early warning system. The diagnosis component is based on an ontology that defines the relations between sensors, symptoms and diseases. Based on these relationships a specialized agent can inform the medical personnel about the detected symptoms.
The Semantic data is regarded as one of the best methods to describe relations between different data sources. The Semantic annotation of data improves the data aggregation methods because the relations are already defined. We have implemented a software prototype using Scala, Apache Jena and the Fuseki database server for handling a context modeled using a dynamic created ontology. For use cases we have used a hospital setting because it is the one of the most dynamic environments.
The astonishing expansion of Internet of Things has opened a lot of opportunities for related domains to employ strategies that were successfully used for the “things” governance. Furthermore, because of the technology blending in the most common household devices and wearable items, it becomes very easy for the computers to sense the surrounding environment and to collect information about the inhabitants, therefore transforming the intelligent house in a Home Care System (HCS). For medical conditions like dementia and its associated diseases, it is very convenient to monitor the patients in their living space because the patient will benefit from their home comfort. In addition, the costs for in hospital monitoring will decrease. This chapter proposes an Internet of Things Governance Architecture that can be used to sustain and monitor a complex e-health system, with application especially for patients with dementia and its associated diseases.
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