The need for Artificial Intelligence (AI) and Machine Learning (ML) technologies is increasingly ... more The need for Artificial Intelligence (AI) and Machine Learning (ML) technologies is increasingly being leveraged for optimizing Data centers’ (DCs’) operations as the volume of operations management data increase tremendously. These strategies can assist operators in better understanding their DC operations and making informed decisions up front to preserve service reliability and availability. Aiming at creating models that optimize energy efficiency, identify inefficient resource utilization and scheduling policies, and predict outages. Apart from model hyperparameter tuning, feature selection is a crucial step to identify relevant features with the objective of providing insight into the data, improving performance, and reducing computational expenses. Although several feature selection methods have been discussed in various domains, none have been discussed in the context of the data center. This paper introduces SHapley Additive exPlanation (SHAP), a class of additive feature a...
Greening of Data Centers could be achieved through energy savings in two significant areas, namel... more Greening of Data Centers could be achieved through energy savings in two significant areas, namely: compute systems and cooling systems. A reliable cooling system is necessary to produce a persistent flow of cold air to cool the servers due to increasing computational load demand. Servers’ dissipated heat effects a strain on the cooling systems. Consequently, it is necessary to identify hotspots that frequently occur in the server zones. This is facilitated through the application of data mining techniques to an available big dataset for thermal characteristics of High-Performance Computing ENEA Data Center, namely Cresco 6. This work presents an algorithm that clusters hotspots with the goal of reducing a data centre’s large thermal-gradient due to uneven distribution of server dissipated waste heat followed by increasing cooling effectiveness.
In case of emergency, slow or obstructed communication lines may make exchange of information dif... more In case of emergency, slow or obstructed communication lines may make exchange of information difficult or even impossible. Such a problem is particularly important when we manage maps, which are usually complex to deal with. They require a long time for transmission and can generally be viewed only after complete acquisition. In order to mitigate this issue, a promising approach is to transmit a reduced map first and, in subsequent steps, its progressive refinements until reaching an acceptable detail. However, choosing the first and the subsequent reduction levels is a complex problem and users are often let to decide on a case-by-case basis. In this paper, we present an empirical experiment we performed to determine which reduction levels we should apply in case of emergency by analyzing the perception of map changes with respect to the original map. On the basis of such results, we also derived a set of rules that allow us to determine appropriate reduction levels on the basis of the number of vertices and the number of polygons.
Drinking water treatment is needed for providing water that is safe from disease-causing pathogen... more Drinking water treatment is needed for providing water that is safe from disease-causing pathogenic microorganisms. Chlorine is widely used as a disinfectant in drinking water systems, although the main disadvantages are the decay of its concentration along the pipes and the formation of undesirable by-products (DBPs). In this research work, the chlorine decay process has been investigated along a real water distribution system, the Santa Sofia aqueduct (Campania, Southern Italy), by an innovative modeling approach. The adopted hydraulic and water quality models have been calibrated on live data (the physical/chemical characteristics of the drinking water) and gathered continuously by a wireless network of multi-parametric probes distributed along the Santa Sofia aqueduct. The residual chlorine concentrations throughout the Santa Sofia network, predicted by hydraulic and water quality models calibrated on the same aqueduct, may be considered reliable.
Modern mobile devices have become real personal computers, that increase the ability of building/... more Modern mobile devices have become real personal computers, that increase the ability of building/extending existing applications by combining several technologies such as camera, GPS, 3D graphics and the Internet connection. Due to the permanent Internet accessing through mobile devices, advertising is a rapidly growing sector providing brands, agencies and marketers with the opportunity to connect with consumers beyond traditional and digital media and directly on their mobile phones. In particular, customized delivery of advertisements is recognized to be a promising approach to capture users’ interests in certain domains. In this paper we propose to exploit the potential of the augmented reality and geo-marketing to create a complex system for targeted marketing. KeywordsAugmented reality, geo-marketing, advertising, mobile devices, geo-localization, web services
The need for Artificial Intelligence (AI) and Machine Learning (ML) technologies is increasingly ... more The need for Artificial Intelligence (AI) and Machine Learning (ML) technologies is increasingly being leveraged for optimizing Data centers’ (DCs’) operations as the volume of operations management data increase tremendously. These strategies can assist operators in better understanding their DC operations and making informed decisions up front to preserve service reliability and availability. Aiming at creating models that optimize energy efficiency, identify inefficient resource utilization and scheduling policies, and predict outages. Apart from model hyperparameter tuning, feature selection is a crucial step to identify relevant features with the objective of providing insight into the data, improving performance, and reducing computational expenses. Although several feature selection methods have been discussed in various domains, none have been discussed in the context of the data center. This paper introduces SHapley Additive exPlanation (SHAP), a class of additive feature a...
Greening of Data Centers could be achieved through energy savings in two significant areas, namel... more Greening of Data Centers could be achieved through energy savings in two significant areas, namely: compute systems and cooling systems. A reliable cooling system is necessary to produce a persistent flow of cold air to cool the servers due to increasing computational load demand. Servers’ dissipated heat effects a strain on the cooling systems. Consequently, it is necessary to identify hotspots that frequently occur in the server zones. This is facilitated through the application of data mining techniques to an available big dataset for thermal characteristics of High-Performance Computing ENEA Data Center, namely Cresco 6. This work presents an algorithm that clusters hotspots with the goal of reducing a data centre’s large thermal-gradient due to uneven distribution of server dissipated waste heat followed by increasing cooling effectiveness.
In case of emergency, slow or obstructed communication lines may make exchange of information dif... more In case of emergency, slow or obstructed communication lines may make exchange of information difficult or even impossible. Such a problem is particularly important when we manage maps, which are usually complex to deal with. They require a long time for transmission and can generally be viewed only after complete acquisition. In order to mitigate this issue, a promising approach is to transmit a reduced map first and, in subsequent steps, its progressive refinements until reaching an acceptable detail. However, choosing the first and the subsequent reduction levels is a complex problem and users are often let to decide on a case-by-case basis. In this paper, we present an empirical experiment we performed to determine which reduction levels we should apply in case of emergency by analyzing the perception of map changes with respect to the original map. On the basis of such results, we also derived a set of rules that allow us to determine appropriate reduction levels on the basis of the number of vertices and the number of polygons.
Drinking water treatment is needed for providing water that is safe from disease-causing pathogen... more Drinking water treatment is needed for providing water that is safe from disease-causing pathogenic microorganisms. Chlorine is widely used as a disinfectant in drinking water systems, although the main disadvantages are the decay of its concentration along the pipes and the formation of undesirable by-products (DBPs). In this research work, the chlorine decay process has been investigated along a real water distribution system, the Santa Sofia aqueduct (Campania, Southern Italy), by an innovative modeling approach. The adopted hydraulic and water quality models have been calibrated on live data (the physical/chemical characteristics of the drinking water) and gathered continuously by a wireless network of multi-parametric probes distributed along the Santa Sofia aqueduct. The residual chlorine concentrations throughout the Santa Sofia network, predicted by hydraulic and water quality models calibrated on the same aqueduct, may be considered reliable.
Modern mobile devices have become real personal computers, that increase the ability of building/... more Modern mobile devices have become real personal computers, that increase the ability of building/extending existing applications by combining several technologies such as camera, GPS, 3D graphics and the Internet connection. Due to the permanent Internet accessing through mobile devices, advertising is a rapidly growing sector providing brands, agencies and marketers with the opportunity to connect with consumers beyond traditional and digital media and directly on their mobile phones. In particular, customized delivery of advertisements is recognized to be a promising approach to capture users’ interests in certain domains. In this paper we propose to exploit the potential of the augmented reality and geo-marketing to create a complex system for targeted marketing. KeywordsAugmented reality, geo-marketing, advertising, mobile devices, geo-localization, web services
Uploads