Olivier Terzo

Olivier Terzo
Links foundation · Advance computing, Photonics and Electromagnetics (CPE)

Phd in Electronic Engineering and Communications

About

135
Publications
18,343
Reads
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432
Citations
Introduction
Field of interest on High Performance Computing Orchestration in Heterogeneous architecture Low Power computing Activities on Distributed Architecture. Hipeac workshop organizer: HELPDC: Heterogeneous Low Power Data Center Workshop organizer on conferences , associate Editor member of the International Journal of Grid and Utility Computing (IJGUC). International Program Committee member of the International workshop on Scalable Optimisation In Intelligent Networking. Peer reviewer
Additional affiliations
September 2004 - present
Istituto Superiore Mario Boella (ISMB)
Description
  • Head of the Research Unit "IS4AC (Infrastructure Systems for Advanced Computing". Research activities: computing infrastructures for e-Science Applications, virtualization, scheduling, grids, cloud infrastructure, hybrid infrastructure, virtual grid
Education
January 2004
Politecnico di Torino
Field of study
  • Wireless security on Open Source Access point

Publications

Publications (135)
Article
Full-text available
Recent progress in IoT and software development has simplified data acquisition and immutability of information in the agri-food supply chain. In the last few years, several frameworks and applications were proposed to ensure traceability in the agri-food sector using distributed ledger technologies (DLT) such as Blockchain technologies. Still, no...
Chapter
Online scheduling has been an attractive field of research for over three decades. Some recent developments suggest that Reinforcement Learning (RL) techniques can effectively deal with online scheduling issues. Driven by an industrial application, in this paper we apply four of the most important RL techniques, namely Q-learning, Sarsa, Watkins’s...
Chapter
Traditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execut...
Poster
Quantum mechanics is expected to revolutionize the computing landscape in the near future. Among the many candidate technologies for building universal quantum computers, Rydberg atoms-based systems stand out for being capable of performing both quantum simulations and working as gate-based universal quantum computers while operating at room temper...
Chapter
Over the last few years, Distributed Ledger Technology (DLT) emerged as a trending opportunity for innovation in several sectors, and a wide range of implementations, sometimes very different from each other, appeared on the market. In particular, the intrinsic features of DLT can represent enabling factors for the IoT sector. The huge number of Io...
Chapter
Effective management of hospitals and health care facilities is based on the knowledge of the available resources (e.g. staff, beds, services). Furthermore, during emergencies, a reliable exchange information system is a crucial factor in providing a timely response. This paper describes the Hospital Availability Management System (HAMS), a softwar...
Chapter
The LEXIS Weather and Climate Large-scale Pilot will deliver a system for prediction of water-food-energy nexus phenomena and their associated socio-economic impacts. The system will be based on multiple model layers chained together, namely global weather and climate models, high-resolution regional weather models, domain-specific application mode...
Chapter
Human operators for monitoring areas with high-concentration of toxic substances incur to an elevated risk of diseases. For this reason, the employment of autonomous systems (e.g. unmanned aerial vehicles) are considered one of the safest ways to remotely monitoring these locations. In this work, we developed an autonomous system for real-time moni...
Chapter
Manufacturing processes are dynamic and intensive. Efficient and effective production scheduling is a crucial step to guarantee the competitiveness of manufacturing companies. While production scheduling has been studied in the literature for many years, an advanced optimization strategy is still in the lack of adoption. In the fourth industrial re...
Chapter
While agriculture is one of the oldest sector in the human history, the technology used in modern agriculture is quite old. At the same time, modern society starts looking at food not just as edibles, a necessary thing in order to survive but as enhanced nutriments that can have many health benefits. Moreover, some components of agriculture product...
Chapter
Nowadays a huge number of different devices and sensors generate information of every type. The data collected, even from long distances, can be used to support decision making, prevent losses and maximize asset utilization rates. Thus, the possibility to track assets is getting attention and raising interest worldwide. The heterogeneity of such se...
Chapter
With the advent of new generations of personal assistants integrated with voice-controlled devices (e.g., Apple Siri, Google Assistant, Amazon Alexa, etc.), the demand for efficient mechanisms to detect, localize and recognize the source of sound events is raising up. As such, microphone-array based devices using improved algorithms are of interest...
Article
Full-text available
Along with the fourth industrial revolution, different tools coming from Optimization, Internet of Things, Data Science, and Artificial Intelligence fields are creating new opportunities in production management. While manufacturing processes are stochastic and rescheduling decisions need to be made under uncertainty, it is still a complicated task...
Conference Paper
Full-text available
Online scheduling has been an attractive field of research for over three decades. Some recent developments suggest that Reinforcement Learning (RL) techniques have the potential to deal with online scheduling issues effectively. Driven by an industrial application, in this paper we apply four of the most important RL techniques, namely Q-learning,...
Conference Paper
Nowadays, environmental pollution levels are a worldwide concern due to the risks for people's health. The demand for cutting-edge technologies to determine the sensible areas where pollutants are present in dangerous concentrations is ever increasing, along with the stringent requirements of avoiding the exposure of human operators to toxic substa...
Conference Paper
With the advent of new generations of personal assistants integrated with voice-controlled devices (e.g. Apple Siri, Google Assistant, Amazon Alexa, etc.), the demand for efficient mechanisms to detect, localize and recognize the source of sound events is raising up. As such, microphone-array based devices using improved algorithms are of interest...
Conference Paper
Human operators for monitoring areas with high-concentration of toxic substances incur to an elevated risk of diseases. For this reason, the employment of autonomous systems (e.g. unmanned aerial vehicles) are considered one of the safest ways to remotely monitoring these locations. In this work, we developed an autonomous system for real-time moni...
Conference Paper
Nowadays, environmental pollution levels are aworldwide concern due to the risks for people’s health. Thedemand for cutting-edge technologies to determine the sensibleareas where pollutants are present in dangerous concentrationsis ever increasing, along with the stringent requirements ofavoiding the exposure of human operators to toxic substance.F...
Conference Paper
The proliferation of smart connected devices using digital assistants activated by voice commands (e.g., Apple Siri, Google Assistant, Amazon Alexa, etc.) is raising the interest in algorithms to localize and recognize audio sources. Among the others, deep neural networks (DNNs) are seen as a promising approach to accomplish such task. Unlike other...
Article
Battery-less sensors need a fast and stable wireless charging mechanism to ensure that they are being correctly activated and properly working. The major drawback of state-of-the-art wireless power transfer solutions stands in the maximum Equivalent Isotropic Radiated Power (EIRP) established from local regulations, even using directional antennas....
Chapter
Modern cloud orchestrators are generally designed to make efficient use of resources in the data center, by consolidating the servers workload. Recently, energy efficiency has become critical factor to sustain the growth of cloud services; thus, more effective resource allocation and management strategies are required. The situation is exacerbated...
Chapter
The Renewable Energy Sources (RES) have added large amounts of unpredictability in energy planning operations. The discrepancy between the forecast and the effective demand figures could led to dropouts and/or blackouts. To manage possible mismatch between demand and generation, a flexible behavior of energy users can be explored in the context of...
Chapter
Full-text available
These days, level of environmental pollution seriously concern people’s health risk. For this reason, the demand of innovative techniques to determine pollution in sensible areas is ever increasing. This work presents a novel method for the control of environmental emissions. The proposed solution deploys an Unmanned Aerial Vehicle (UAV) to facilit...
Chapter
In this paper has been presented an analyses of different scheduling techniques on AWS ParallelCluster, an Amazon Web Services supported, open source cluster management tool for the deployment and management of High Performance Computing (HPC) clusters in the AWS cloud.
Chapter
Navigation in the Arctic region is strongly compromised due to extreme environmental conditions. Among the others, correct positioning is the most critical aspect to manage in such environmental conditions. The main criticality for this can be ascribed to the low-orbit of satellites used for positioning, which implies very weak signals received at...
Chapter
Full-text available
High Performance Computing (HPC) infrastructures (also referred to as supercomputing infrastructures) are at the basis of modern scientific discoveries, and allow engineers to greatly optimize their designs. The large amount of data (Big-Data) to be treated during simulations is pushing HPC managers to introduce more heterogeneity in their architec...
Chapter
Full-text available
Accurate and rapid earthquake loss assessments and tsunami early warnings are critical in modern society to allow for appropriate and timely emergency response decisions. In the LEXIS project, we seek to enhance the workflow of rapid loss assessments and emergency decision support systems by leveraging an orchestrated heterogeneous environment comb...
Article
Full-text available
The Mediterranean region is frequently struck by severe rainfall events causing numerous casualties and several million euros of damages every year. Thus, improving the forecast accuracy is a fundamental goal to limit social and economic damages. Numerical Weather Prediction (NWP) models are currently able to produce forecasts at the km scale grid...
Book
Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. Evolution of computi...
Data
This article won the Best Paper Award of the 13-th International Conference of Complex, Intelligent and Software Intensive Systems (CISIS-2019), http://voyager.ce.fit.ac.jp/conf/cisis/2019/
Conference Paper
Full-text available
Navigation in the Arctic region is strongly compromised due to extreme environmental conditions. Among the others, correct positioning is the most critical aspect to manage in such environmental conditions. The main criticality for this can be ascribed to the low-orbit of satellites used for positioning, which implies very weak signals received at...
Conference Paper
These days, level of environmental pollution seriously concern people’s health risk. For this reason, the demand of innovative techniques to determine pollution in sensible areas is ever increasing. This work presents a novel method for the control of environmental emissions. The proposed solution deploys an Unmanned Aerial Vehicle (UAV) to facilit...
Conference Paper
Modern cloud orchestrators are generally designed to make efficient use of resources in the data center, by consolidating the servers workload. Recently, energy efficiency has become critical factor to sustain the growth of cloud services; thus, more effective resource allocation and management strategies are required. The situation is exacerbated...
Conference Paper
High Performance Computing (HPC) infrastructures (also referred to as supercomputing infrastructures) are at the basis of modern scientific discoveries, and allow engineers to greatly optimize their designs. The large amount of data (Big-Data) to be treated during simulations is pushing HPC managers to introduce more heterogeneity in their architec...
Conference Paper
High Performance Computing (HPC) infrastructures (also referred to as supercomputing infrastructures) are at the basis of modern scientific discoveries, and allow engineers to greatly optimize their designs. The large amount of data (Big-Data) to be treated during simulations is pushing HPC managers to introduce more heterogeneity in their architec...
Conference Paper
Full-text available
Modern Cloud architectures encompass computing and communication elements that span from traditional data center computing nodes to edge-computing and IoT devices. Modern data centers offer almost infinite resources to satisfy any application demands; while, edge-computing and IoT extend Cloud platforms to sense and act on the real world (Cyber-Phy...
Chapter
The Weather Research and Forecasting (WRF) model is a numerical weather prediction system commonly used for atmospheric research and operational forecasting. Given the great amount of computing resources needed by this model, a HPC or cloud computing infrastructure is needed. In this paper, high resolution simulations (1 km) with data assimilation...
Chapter
Artificial Neural Networks (ANNs) represent a family of powerful machine learning-based techniques used to solve many real-world problems. The various applications of ANNs can be summarized into classification or pattern recognition, prediction and modeling. As with other machine learning techniques, ANNs are getting momentum in the Big Data era fo...
Chapter
The transition to generation-led approach in Smart Grids assigns new roles to networked Demand-oriented Real-time Smart Meters that operate in decentralized system. In new operational scenario, to achieve network-wide interoperability, smart meters are exposed to cyber threats. One of the mostly known risks is so-called Cyber Kill Chain. This resea...
Chapter
The emerging of new Cloud services and applications demanding for ever more performance (i.e., on one hand, the rapid growth of applications using deep learning –DL, on the other hand, HPC-oriented work-flows executed in Cloud) is continuously putting pressure on Cloud providers to increase capabilities of their large data centers, by embracing mor...
Chapter
Cloud computing is an emerging paradigm in which users’ access to a shared pool of computing resources is dynamically allocated (i.e. ubiquitous computing service), depending on their specific needs. Such paradigm exploits the infrastructural capabilities of modern data centers to provide computational power and storage space required to satisfy mo...
Conference Paper
The growing demand for high-performance capabilities in data centers (DCs) leads to adopt heterogeneous solutions. The advantage of specialised hardware is a better support for different types of workloads, and a reduction of the power consumption. Among the others, FPGAs offer the unique capability to provide hardware specialisation and low power...
Conference Paper
Full-text available
The Weather Research and Forecasting (WRF) Model is a numerical weather prediction system designed for both atmospheric research and operational forecasting needs. WRF requires a large amount of CPU power which increases drastically if WRF is used to model a big geographical area with a high resolution. To satisfy the computational demand WRF requi...
Conference Paper
Full-text available
Environment observations provide a unique source of consistent information about the natural environment and they provide resource managers the information to assess the current state of the environment, weight the requirements of different uses by multiple stakeholders, and manage the natural resources and ecosystems in a sustainable manner. Most...
Conference Paper
Big Data has become the cornerstone of modern knowledge based system. However, taking advantage of the knowledge found in big data sets requires advanced solutions to store, access and analyze data in a feasible way, either online, offline or both. Such solutions comprise on the one hand a better understanding of computational needs for big data an...
Chapter
Big Data has become an enabling technology for many of the today’s innovations. Given the exponential rate at which the data is produced there is a clear necessity for scalable solutions to control the overwhelming flow of new streams of information and extract information out of DaaS Clouds. In this paper we review and analyze some VM deployment m...
Book
This book gathers the proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2017), held on June 28–June 30, 2017 in Torino, Italy. Software Intensive Systems are characterized by their intensive interaction with other systems, sensors, actuators, devices, and users. Further, they are now bei...
Conference Paper
Full-text available
The opportunity to extend monitoring campaigns in Antarctica, overcoming the limitations of the current fixed installations and getting data directly on-field, becomes increasingly attractive for researchers and scientists. The GreenLab is an energy-efficient and self-sufficient system specifically conceived for critical environments. It is equippe...
Patent
PUNTAMENTO ELETTRONICO VERSO SEGNALI SATELLITARI L’invenzione è un sistema HW+SW per ottimizzare il puntamento per la ricezione di segnali multipli di posizionamento satellitare senza utilizzare parti in movimento meccanico. L’invenzione riduce gli effetti indesiderati dell’ambiente circostante, quali interferenti casuali, interferenti intenzional...
Conference Paper
Full-text available
The necessity of managing acquisition instruments installed in remote areas (e.g., polar regions), far away from the main buildings of the permanent observatories, provides the perfect test-case for exploiting the use of low power computing and communication systems. Such systems are powered by renewable energy sources and coupled with reconfigurab...
Article
The Istituto Nazionale di Geofisica e Vulcanologia (INGV) leads an international project funded by the Italian National Program for Antarctic Research (PNRA), called DemoGRAPE, in partnership with Politecnico di Torino, Istituto Superiore Mario Boella, and with SANSA (South African National Space Agency) and INPE (the Brazilian National Institute o...
Article
We present a case study on the migration to a cloud computing environment of the advanced differential synthetic aperture radar interferometry (DInSAR) technique, referred to as Small BAseline Subset (SBAS), which is widely used for the investigation of Earth surface deformation phenomena. In particular, we focus on the SBAS parallel algorithmic so...