Marta Chinnici

ENEA | ENEA · Department of Energy Technologies and Renewable Energy Sources

Energy efficiency in Data Centers (DCs) is currently becoming a topic of increasing importance, considering the rising prices of energy and the expansion of large data sets (Big Data) processing demand. A structured measurement framework that can be used to quantify energy efficiency is required to understand the opportunities for improving energy...

The Internet of Things (IoT) is a novel paradigm based on the connectivity among different entities or “things”. IoT environment in the form of interconnected smart “things” represents a great potential in terms of effective and efficient solutions related to urban context (e.g., system architecture, design and development, human involvement, data...

The energy efficiency of Data Center (DC) operations heavily relies on a DC ambient temperature as well as its IT and cooling systems performance. A reliable and efficient cooling system is necessary to produce a persistent flow of cold air to cool servers that are subjected to constantly increasing computational load due to the advent of smart clo...

Data centers aim at provisioning on-demand processing, storage and networking capabilities in a reliable and scalable way. In this context, proper maintenance of IT equipment within data center (DC) premises is crucial as it ensures prolonged lifetime of servers and uninterrupted availability of resources. This paper focuses on the analysis how the...

Emotion was found to improve memory and learning under certain conditions. In the context of deep learning, many neural models achieved competitive performances by considering the emotional factor in solving tasks of interest. Among them, investigations concerning the introduction of emotion for solving image classification tasks provided significa...

The application of Artificial Intelligence (AI) and Machine Learning (ML) models is increasingly leveraged to automate and optimize Data Centre (DC) operations. However, the interpretability and transparency of these complex models pose critical challenges. Hence, this paper explores the Shapley Additive exPlanations (SHAP) values model explainabil...

Ambient air pollution is known to be a serious issue that has an impact on human health and the environment. Assessing air quality is of the utmost importance to protect human health and the environment. Different tools are available, from monitoring stations to complex models. These systems are capable of accurately predicting air quality levels,...

The present modelling aims to construct a computational information representation system useful for decision support system (DSS) solutions in the realization of intelligent systems or complex systems analysis solutions. Starting from an n-dimensional space (with n ≥ 7) represented by problem variables (referred to as CSF—Critical Success Factors)...

The idea of an intelligent machine has fascinated humans for centuries [...]

Foundation models are gaining considerable interest for their capacity of solving many downstream tasks without fine-tuning parameters on specific datasets. The same solutions can connect visual and linguistic representations through image-text contrastive learning. These abilities allow an artificial agent to act similarly to a human, but signific...

The need for artificial intelligence (AI) and machine learning (ML) models to optimize data center (DC) operations increases as the volume of operations management data upsurges tremendously. These strategies can assist operators in better understanding their DC operations and help them make informed decisions upfront to maintain service reliabilit...

The Blockchain paradigm applied to energy communities represents both a challenge and an opportunity. Indeed, it introduces a new distributed and transparent framework to manage the communities’ services. In the meantime, it guarantees the traceability of the energy produced and consumed, informing consumers of the origins and costs of their supply...

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...

The Blockchain paradigm applied to energy communities represents both a challenge and an opportunity. Indeed, it introduces a new framework to manage the communities’ services and, in the meantime, guarantees the traceability of the energy produced and consumed, informing consumers of the origins and costs of their supply, making tariffs more trans...

The continuous improvement in energy efficiency of existing data centers would help reduce their environmental footprints. Greening of Data Centers could be attained using renewable energy sources or more energy efficient compute systems and effective cooling systems. A reliable cooling system is necessary to generate a persistent flow of cold air...

In a smart city environment, the explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and entire network infrastructures, platforms as well as new resource management models. This poses significant challenges for data-intensive and high-performance com...

Over the past decade, renewable energy resources, such as wind, solar, biomass, ocean energy and other kinds of energy, are becoming attractive technologies for building green smart cities. These new forms of energy can complete the world’s energy demand, protect the environment and provide energy security. Statistics have shown that renewable ener...

Information about the early growth of infectious outbreaks is indispensable to estimate the epidemic spreading. A large number of mathematical tools have been developed to this end, facing as much large number of different dynamic evolutions, ranging from sub-linear to super-exponential growth. Of course, the crucial point is that we do not have en...

It is widely accepted that human activities largely contribute to global emissions and thus, greatly impact climate change. Awareness promotion and adoption of green transportation mode could make a difference in the long term. To achieve behavioural change, we investigate the use of a persuasive game utilising online transportation mode recognitio...

Cloud computing has seen rapid growth and environments are now providing multiple physical servers with several virtual machines running on those servers. Networks have grown larger and have become more powerful in recent years. A vital problem related to this advancement is that it has become increasingly complex to manage networks. SNMP is one st...

Today, only two methods are viable to immunize people against an epidemic spreading: vaccine and quarantine, but a prolonged quarantine extended to the whole population implies unsustainable costs, while vaccinations take a lot of time. Nevertheless, it would be possible to stop the propagation of viruses and alleviate the economic activities' lock...

In a smart city environment, Data Centers (DCs) play a fundamental role, since they enable urban applications by processing big data which comes from inter- connected systems. These processing demands have led to a tremendous increase in DC power consumption. Therefore, the concepts of DC energy efficiency and sustain- ability represent future chal...

In a smart city environment, the explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and entire network infrastructures, platforms as well as new resource management models. This poses significant challenges for data-intensive and high-performance com...

Information about the early growth of infectious outbreaks is indispensable to estimate the epidemic spreading. A large number of mathematical tools have been developed to this end, facing as much large number of different dynamic evolutions, ranging from sub-linear to super-exponential growth. Of course, the crucial point is that we do not have en...

Abstract Today, only two methods are viable to immunize people against an epidemic spreading: vaccine and quarantine, but a prolonged quarantine extended to the whole population implies unsustainable costs, while vaccinations take a lot of time. Nevertheless, it is would be possible to stop the propagation of viruses and alleviate the lockdown of t...

Information about the early growth of infectious outbreaks are indispensable to estimate the epidemic spreading. A large number of mathematical tools have been developed to this end, facing as much large number of different dynamic evolutions, ranging from sub-linear to super-exponential growth. Of course, the crucial point is that we do not have e...

Energy efficiency of Data Center (DC) operations heavily relies on IT and cooling systems performance. A reliable and efficient cooling system is necessary to produce a persistent flow of cold air to cool servers that are subjected to constantly increasing computational load due to the advent of IoT- enabled smart systems. Consequently, increased d...

Dear Colleagues, The idea of an intelligent machine has fascinated humans for centuries. But what is intelligence? Some define it has the capacity for learning, reasoning, understanding or, from a different perspective, the aptitude of grasping truths, relationships, facts, or meanings. Any of these perspectives requires the capacity to acquire da...

When we try to solve new or known problems to which we want to give new solutions, we create new knowledge and realize new discoveries. To date, the scientific methods have used the probability in order to analyze problems, make inference and build forecasts. However, everyone agreed that most problems do not follow standard probabilistic rules. In...

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. Co...

È aperta la call for papers per la Conferenza GARR 2020 “Sostenibile/Digitale. Dati e tecnologie per il futuro”, che si terrà presso l'Università di Palermo dal 20 al 22 maggio 2020. Scadenza: 10 marzo 2020

This work analyzes a very subtle kind of energy metrics for Data Centers (DCs), namely productivity metrics which affect the global energy efficiency assessment in a DC since they focus on the energy used for processing computing operations. By exploiting the available set of energy consumption data concerning operating systems in ENEA-DC, HPC-Clus...

Data centers are estimated to have the fastest growing carbon footprint from across the whole information and communication technology (ICT) sector. Evaluating the performance of data centers in terms of energy efficiency and sustainability is becoming an increasingly important matter for organizations and governments (e.g., for regulation or reput...

Internet of Things (IoT) is a novel proposed paradigm as a roadmap to address the critical trends concerning the smart environment in the foreseeable future. The vision of IoT environment based on smart "things" represents an essential strategy for the progress on challenges related to the urban context: system architecture, design and development,...

With the increasing popularity of Data Center (DCs), the energy efficiency issue is becoming more important than before. Due to their complex nature, the analysis and in particular the measurement of DCs’ energy efficiency is articulated and open issue. Therefore, the analysis of energy efficiency in DCs, through a set of globally accepted metrics,...

The study and analysis of energy efficiency in Data Centers (DCs), through a set of globally accepted metrics, is an ongoing challenge. In particular, the area of productivity metrics is not completely explored, and there is no existing proposed metrics, which provides a direct measurement of the useful work in a DC. This paper proposes a methodolo...

This work analyzes a very subtle kind of energy metrics for Data Centers (DCs), namely productivity metrics which affect the global energy efficiency assessment in DC since they focus on the energy used for processing computing operations. By exploiting the available set of energy consumption data of operating systems in ENEA-DC, HPC-Cluster, the a...

In the context of smart cities, ‘smartness’ is achieved via Information and Communication Technologies (ICTs). They offer new interdisciplinary opportunities to improve services, integrate different infrastructures while reducing resource consumption, greenhouse gases (GHG) and other polluting emissions. Meanwhile, ICT itself consumes power and has...

Current advances in graph theory suggest that it may be possible to identify the oldest nodes of a network by using the graph topology alone. In this paper, applications of graph topology related to various real-world systems are reported. To this end, and to gain new insights, we propose the theoretical framework of the Estrada communicability ind...

The measurement of Data Center (DC) energy efficiency is a complicated problem, which depends on its architecture, workload and the environmental conditions, and its estimation has attracted a lot of research. Recently, several metrics were proposed to calculate the energy efficiency in DCs. However, none of the currently proposed metrics provides...

The spreading of dangerous malware or faults in interdependent networks of electronics devices has raised deep concern, because from the ICT networks infections may propagate to other Critical Infrastructures producing the well-known domino or cascading effect. Researchers are attempting to develop a high level analysis of malware propagation disca...

Energy consumption and thermal performance are the two most important tasks in data centers (DCs) facility management. In recent years, to monitor and control their variation several performance metrics were introduced. In this paper an overview on the main important energy and thermal metrics is provided. A critical analysis to investigate mutual...

The Spanish legal system has undergone major changes in relation to the aspect of confiscated assets. Prior to 2010, it was not possible to apply the civil recovery of assets to criminals. Also, there was no specialised asset recovery law designed to better tackle proceeds of criminals. The organic law 5/2010, of 22nd of June transposes the RU Coun...

Thermal management and air distribution performance are assuming a key role for achieving the energy saving and the IT equipment reliability for data centers (DCs). In recent years, to monitor and to control their variation several thermal performance metrics were introduced. This work presents a critical review on the most important thermal indice...

Identifying the nodes of small sub-graphs with no a priori information is a hard problem. In this work, we want to find each node of a sparse sub-graph embedded in both dynamic and static background graphs, of larger average degree. We show that exploiting the summability over several background realizations of the Estrada-Benzi communicability and...

Medium size HPC clusters play an important role in the HPC landscape in that they provide both the training environment for system scalability and a flexible production field for a large class of numerical problems. In this poster we present CRESCO4, the latest medium size HPC cluster purchased by ENEA, in operation since few months. CRESCO4 is par...

Recent advances in graph theory suggest that is possible to identify the oldest nodes of a network using only the graph topology. Here we report on applications to heterogeneous real world networks. To this end, and in order to gain new insights, we propose the theoretical framework of the Estrada communicability. We apply it to two technological n...

The epidemic spreading of a disease can be described by a contact network whose nodes are persons or centers of contagion, and links are heterogeneous relations among them. We provide a procedure to identify multiple sources of an outbreak or their closer neighbors. Our methodology is based on a simple spectral technique that requires only the defi...

Data centers (DCs) consume large amounts of electricity, of which there is an increasing shortage at escalating prices. Fortunately, new technologies and research developed by many organizations have resulted in new products, architectures and best practices that create significant savings. However, in Europe there is a lack of a complete normative...

The spreading of dangerous malware or faults in inter-dependent networks of electronics devices has raised deep concern, because from the ICT networks infections may propagate to other Critical Infrastructures producing the well-known domino or cascading effect. Researchers are attempting to develop a high level analysis of malware propagation disc...

In this paper we consider the result which was obtained by the first author of the present work to describe scaling rules in nature, R(N) = (h/mnc)N Φ , in connection with the well-know RandomWalk. By adopting this prospect, we present the result as a Brownian motion process developed as a limit of a Random Walk in the context of Mohamed El Naschie...

The epidemic spreading of a disease can be described by a contact network whose nodes are persons or centers of contagion and links heterogeneous relations among them. We provide a procedure to identify multiple sources of an outbreak or their closer neighbors. Our methodology is based on a simple spectral technique requiring only the knowledge of...

In this paper an inverse preconditioner for the numerical solution of an elliptic Laplace prob- lem of a global circulation ocean model is presented. The inverse preconditiong technique is adopted in order to efficiently compute the numerical solution of the elliptic kernel by using the Conjugate Gradient (CG) method. We show how the performance an...

Organizations can be modeled as complex systems. Here we consider complex economic organizations such as the stock exchange and show that the Kuramoto equation is a suitable model to forecast maxima or minima of the financial signals.

Il lavoro descrive alcune problematiche connesse ai Metodi Iterativi in modelli di Circolazione Oceanica

In this paper we show a way to use high performance computing techniques in order to achieve a more suitable neural network simulation approach. Several mathematical models and softwares for biological cells modelling are described. The performance of a modified and optimized biological neuron computational model, based on multi-thread and message...

In this paper we prove how the use of the GPU NVIDIA architectures could improve the performance of the iterative solvers in the numerical problems related to the global ocean circulation models. In this context a linear system, obtained from the elliptical core of an ocean model by means of finite differences, is solved using an implementation of...

The recent introduction by NVidia of Compute Unified Device Architecture (CUDA) libraries for High Performance Computing on Graphic Processing Units has started the trend of video cards for resolution of many computationally hard problems in different areas like fluid dynamics, molecular dynamics, computer vi- sion and astrophysics. In this paper w...

Il Workshop finale dei Progetti Grid finanziati nell'ambito dell'Avviso 1575 del Programma Operativo Nazionale "Ricerca" 2000-2006, organizzato dal Consorzio COMETA, ha il duplice obiettivo di presentare i risultati scientifici piu' significativi ottenuti dai quattro progetti: CRESCO, Cybersar, PI2S2 e SCoPE e di discutere gli obiettivi futuri da c...

The aim of this work is the analysis of multifractals in the context of Mohamed El Naschie’s ϵ(∞) Cantorian space–time applied to cosmology. As starting point we consider the results of the first author of the present paper describing scaling rules in nature, R(N)=(h/mnc)Nϕ. Then, we use multifractal analysis to show that the result, already develo...

The recent introduction by NVidia of Compute Unified Device Architecture (CUDA) libraries for High Performance Computing on Graphic Processing Units has started the trend of video cards for resolution of many computation-ally hard problems in different areas like fluid dy-namics, molecular dynamics, computer vision and astrophysics. In this paper w...