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Data management in the Internet of Things is a crucial aspect. Considering a world of interconnected objects which constantly exchange many kinds of information, the volume of generated data and involved processes, implies that data management becomes critical. The aim of this paper is to propose an outlier detection procedure using the K-means algorithm and Big Data processing using the Hadoop platform and Mahout implementation integrated with our chosen Internet of Things architecture.

This paper analyses the relationships between different service level agreement (SLA) components, that is, the different types of quality metrics employed by infrastructure and service providers. We propose that the quality of network economics (QoNE) be used to evaluate the quality of a network path for a given SLA model. Our evaluation indicates the usefulness of the QoNE metric, and it provides a new mechanism for the networking community to address network design problems when incorporating new challenges, such as the Internet of Things. We show how the proposed model can be implemented in software-defined network architecture applicable to networking technologies that include the interconnection of autonomous systems.Peer ReviewedPostprint (published version

In this survey, techniques to enhance energy efficiency (EE) in orthogonal frequency division multiple access (OFDMA) and orthogonal frequency division multiplexing (OFDM) systems, with or without the utilisation of the cooperative network paradigm, considering also the features provided in the standards of modern cellular wireless networks, such as LTE-Advanced and WiMAX, are discussed. For the non-cooperative EE maximisation case, we summarise resource allocation problems and also describe some techniques that can be combined with the basic power/subcarrier allocation problems. When considering the cooperative OFDM(A) case, we first discuss four basic variables that arise with the relay station implantation, and after that, other features are also listed, which can be combined with the previously discussed issues. Finally, we review some of the standardisation documents available for fourth-generation systems in order to obtain system parameters and simulation scenarios, discuss some methods to analyse and solve the optimisation problems that can be proposed with the aforementioned techniques and then point out important open trends and research challenges in the EE maximisation problem considering OFDM(A) scenario.

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The paper proposes a resources allocation method for EON based on a modified RDM using squatting and kicking strategies in order to prioritise the usage of channels and enhancing the total utilisation. It can also be used as an admission control. The mechanism is described and compared to existing proposals, regarding the flexibility in\ud the allocation per class. The strategy regards the EON constraints and assumes the optical spectrum to be partitioned and reserved to several different classes. These partitions are allocated according to the priority of the demands and the strategy proposed. The performance metrics are explained and analysed via demands and resources allocation examples.Peer ReviewedPostprint (published version

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