
Claudio SavaglioUniversity of Calabria | Università della Calabria
Claudio Savaglio
Phd in ICT
Tenure-Track Assistant Professor
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101
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Publications (101)
Smart environments exploit rising technologies like Internet of Things (IoT) and edge intelligence (EI) to achieve unseen effectiveness and efficiency in every tasks, including air sanitization. The latter represents a key preventative measure–made even more evident by the COVID-19 pandemic–to significantly reduce disease transmission and create he...
Due to increasing maritime activities, the number of Maritime Internet-of-things (MIoT) devices requiring real-time marine data processing is growing exponentially. To offload maritime tasks and address the limited computational capabilities of heterogeneous MIoT devices, edge and cloud computing networks are employed. However, these networks intro...
Cyber-Physical Systems (CPS) and Industrial Internet of Things (IIoT) technologies are key enabling factors for the creation of a connected value chain in Smart Factories. Integrated with other emerging paradigms like Digital Twins, Edge Computing and Blockchain, CPS and IIoT support advanced data sensing, transmission and analytics, thus fostering...
Software engineers of Internet of Things (IoT) systems deal with three macro issues: how to perceive the properties of interest through sensors (sensing facet), how to process information to decide how to achieve the system goals (processing facet), and how to enact such decisions to affect the IoT environment (actuation facet). For each of these,...
The rapid progress in digital technologies has opened up opportunities for creating and using Digital Twins, which facilitate and advance the connection between physical systems and their virtual counterparts. In this chapter we report an overview on the topic of Digital Twins which is gaining importance especially in the design and implementation...
Deployment-level concerns strongly impact on the system performance and, hence, often influence the design and implementation phases, slowing down the entire development process. This is particularly true in the Edge–Cloud Continuum (ECC) where the heterogeneity of actors, resource availability, and requirement is intrinsically high with respect to...
This chapter describes the Fluidware architecture with emphasis on its two main features, namely a truly full-distributed computing approach and a middleware component devoted to the actual creation, allocation, and management of funnels to computational nodes and to their deployment across the IoT-Edge-Cloud continuum. Particularly, the pulverizat...
Digital Twins (DTs) are software replicas that not only mirrors physical entities but can also proactively predict, control, optimize and simulate their behavior. Born in the manufacturing sector, this concept after an initial hype stayed untouched for decades. The rise of Internet of Things (IoT) and Artificial Intelligence (AI) enabled DT, respec...
This chapter focuses on interoperability of cloud-oriented Internet of Things (IoT) platforms. Cloud computing represents a key paradigm to support the development of advanced IoT platforms, which is the reason why the number of cloud-oriented IoT platforms is continuously increasing, exposing very different architectures, functionalities, and goal...
Cities have undergone significant changes due to the rapid increase in urban population, heightened demand for resources, and growing concerns over climate change. To address these challenges, digital transformation has become a necessity. Recent advancements in Artificial Intelligence (AI) and sensing techniques, such as synthetic sensing, can ele...
Although Digital Twins (DTs) became very popular in industry, nowadays they represent a pre-requisite of many systems across different domains, by taking advantage of the disrupting digital technologies such as Artificial Intelligence (AI), Edge Computing and Internet of Things (IoT). In this paper we present our “opportunistic” interpretation, whi...
With the raise of Internet of Things (IoT), the Digital Twin (DT) concept came across newfound lifeblood. The rapidly growing volume and breadth of data that can be captured, processed and forwarded by the smart devices through IoT-related technology, indeed, represent a key enabling factor for making DTs finally ready for prime time, beyond the bo...
Cyber-Physical Systems (CPS) and Industrial Internet of Things (IIoT) technologies are key enabling factors for the creation of a connected value chain in Smart Factories. Integrated with other emerging paradigms like Digital Twins, Edge Computing and Blockchain, CPS and IIoT support advanced data sensing, transmission and analytics, thus fostering...
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the development and provision of next-generation Internet of Things (IoT) services. Therefore, motivated by its increasing popularity, relevant research effort was expended in or...
The Internet of Things (IoT) promises to change many aspects of our daily lives thanks to the opportunity of interconnecting a massive numbers of smart objects with increasing computational, storage, communication, and power capabilities, in such a way making “smart” and “interactive” most of the world around us. In other words, smart objects and h...
Call for Paper for the 8th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2023) May 9-12, 2023 — San Antonio, Texas
Research trends are pushing artificial intelligence (AI) across the Internet of Things (IoT)–edge–fog–cloud continuum to enable effective data analytics, decision making, as well as the efficient use of resources for QoS targets. Approaches for collective adaptive systems (CASs) engineering, such as aggregate computing, provide declarative programm...
The COVID-19 pandemic has impacted the lifestyle of people in every community and workplace, including universities. There, places like cafeterias where people are expected to not wear a mask for the majority of time, i.e., while eating or drinking, are potentially very risky. In such scenarios, the Internet of Things (IoT) technological stack and...
For simplifying and speeding up the development of the Internet of Things (IoT) ecosystem, there has been a proliferation of IoT platforms, built up according to different design principles, computing paradigms, technologies, and targets. This paper proposes a review of main examples populating the wide landscape of IoT platforms and their comparis...
Enterprise Resource Planning (ERP) system is a collection of collaborative software programs. It handles transactions through enterprise-wide business processes using shared databases, standard methodologies, and data exchange across and within functional domains. Setting up an enterprise system is a complex activity and a costly and dangerous inve...
Cognitive networking is a valuable enabler to improve the capability of intelligent transportation system (ITS) by analyzing and utilizing the heterogeneous traffic information. However, the significant increase in the amount of decision-making tasks makes it difficult to guarantee real-time performance of decision response. This paper focuses on t...
For simplifying and speeding up the development of Internet of Things (IoT) ecosystem, there has been a proliferation of IoT Platforms, built up according to different design principles, computing paradigms, technologies, and targets. This paper proposes a review of main examples populating the wide landscape of IoT Platforms and their comparison o...
The Internet of Things (IoT) is a jeopardized ecosystem in which heterogeneity is intrinsic at all levels, from physical devices to communication protocols till high-level application semantics. The absence of IoT standards increases the complexity of integration and interoperability among heterogeneous platforms. This generates a strong demand for...
Enterprise Resource Planning (ERP) system is a collection of collaborative software programs. It handles transactions through enterprise-wide business processes using shared databases, standard methodologies, and data exchange across and within functional domains. Setting up an enterprise system is a complex activity and a costly and dangerous inve...
The Edge of Things (EoT) has arisen as the seamless integration among the Cloud, Fog and Edge Computing. Such promising synergy is still in its embryonic stage but has the ambition to unleash the full Internet of Things (IoT) ecosystem potential. Now in its second edition, this Workshop aims at investigating the several topics under the EoT umbrell...
The Edge of Things (EoT) has arisen as the seamless integration among the Cloud, Fog and Edge Computing. Such
promising synergy is still in its embryonic stage but has the ambition to unleash the full Internet of Things (IoT)
ecosystem potential. Now in its second edition, this Workshop aims at investigating the several topics under the EoT
umbrell...
With the increasing number of vehicles, the traffic congestion is becoming more and more serious. In order to alleviate such a problem, this article considers transmission and inference delay of cloud centralized computing in the software defined Internet of Vehicles (SDIoV), and builds a new SDIoV architecture based on edge intelligence, for suppo...
The 2021 International Conference on Industry 4.0 and Smart Manufacturing (ISM) represents a new platform for knowledge exchange, the review and discussion of theoretical advances, research results, and industrial experiences, among scientists, researchers, decision makers, practitioners and students dealing with the topics under the umbrella of In...
In recent years, there has been a dramatic change in attitude towards computers and
the use of computer resources in general. Cloud and Edge computing have emerged as the most widely used technologies, including fog computing and the Internet of Things (IoT). There are several benefits in exploiting Cloud and Edge computing paradigms, such as lower...
Cloud enterprise resource planning (C-ERP) represents an evolution of traditional ERP, which also offers the advantages of cloud computing (CC) such as ease of use and resource elasticity. This article presents the opportunities and challenges of the C-ERP adoption for industry 4.0 in the United States as well as the factors that boost or hinder su...
With the ever-increasing diffusion of smart devices and Internet of Things (IoT) applications, a completely new set of challenges have been added to the Data Mining domain. Edge Mining and Cloud Mining refer to Data Mining tasks aimed at IoT scenarios and performed according to, respectively, Cloud or Edge computing principles. Given the orthogonal...
Collaborative learning with multiple edge devices to build group intelligence is a new trend. Edge artificial intelligence (AI) computing often makes full use of various available data and resources in terminal devices, edge servers, and cloud data centers to achieve collaborative deci-sion-making. However, in order to achieve the goal, it should a...
The SI focuses on new Data Mining approaches particularly tailored for the IoT scenario, in particular, with respect to the promising, emerging novel computing paradigm of Edge Computing. Indeed, conventional Data Mining techniques need to be adjusted for optimizing the long pipeline which eventually leads, across data collection, processing and co...
The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the years, different IoT methodologies, frameworks, platforms, and tools have been proposed by industry and academia, but the jumbled abundance of such development produc...
The ever-growing aging of the population has emphasized the importance of in-home AAL (Ambient Assisted Living) services for monitoring and improving its well-being and health, especially in the context of care facilities (retirement villages, clinics, senior neighborhood, etc). The paper proposes a novel simulation-driven platform named E-ALPHA (E...
The investigation of anomalies is an important element in many scientific research fields. In recent years, this activity has been also extended to social networking and social internetworking, where different networks interact with each other. In these research fields, we have recently witnessed an important evolution because, beside networks of p...
In the last few years, classical social networking is turning into the more complex social internetworking and is extending from human users to objects. Indeed, objects are becoming increasingly complex, smart and social so that several authors have recently started to investigate the Social Internet of Things (SIoT) and the Multiple IoT (MIoT) par...
The opportunistic context in which edge computing systems operate poses different challenges, particularly in the light of user mobility, such as resource management and system orchestration, real-time responsiveness and performance quality requirements. Starting from this consideration, we propose a novel development process for modeling opportuni...
In recent years, computation offloading has become an effective way to overcome the constraints of mobile devices (MDs) by offloading delay-sensitive and computation-intensive mobile application tasks to remote cloud-based data centers. Smart cities can benefit from offloading to edge points in the framework of the so-called cyber–physical–social s...
The Internet of Things (IoT) represents an ecosystem where heterogeneous components seamlessly interoperate aiming to provide opportunistic (highly contextualized, dynamic, transient, and co-located) cyberphysical services in every application scenario, including smart automotive. Just in the context of advanced driving assistance systems, this pap...
In Smart Factories, Automated Guided Vehicles(AGVs) accomplish heterogeneous tasks as moving objects, restoring connectivity or performing different manufacturing activities into production-lines. These kinds of devices combine several capabilities, as artificial intelligence (visual and speech recognition, automatic fault detecting, pro-active beh...
In this paper, we describe how the microservices paradigm can be used to design and implement distributed edge services for Internet of Things applications. As a case study, traditionally monolithic user mobility analysis service is developed, with distributed and extendable microservices, for the standardized ETSI MEC system reference architecture...
Smart cities, arising all around the globe, encourage the birth of new and different urban infrastructures, with interesting challenges and opportunities. Within each smart city, a smart community emerges, which integrates technological solutions for the definition of innovative models for the smart management of urban areas. In this paper, we desc...
Recently, human healthcare from body sensor data has been getting remarkable research attentions by a huge range of human-computer interaction and pattern analysis researchers due to its practical applications such as smart health care systems. For example, smart wearable-based behavior recognition system can be used to assist the rehabilitation of...
Technological advances have recently fostered the Internet of Things vision, in which systems of situated entities perceive and act upon the world, and interact with one another to provide novel kinds of services, which are inherently cyber-physical, increasingly contextual and opportunistic in nature, and possibly span different scales and domains...
The choice between an Edge-or Cloud-based deployment along with other factors like the unpredictable mobility of devices, the cyber-physicality of the scenario, and the wireless nature of communications, significantly impact the service provision of Internet of Things (IoT) systems. A simulation approach encompassing all the aforementioned aspects...
High-density communications in Wireless Sensor Networks (WSN) demand for new approaches to meet stringent energy and spectrum requirements.We turn to Reinforcement Learning (RL), a prominent method in Artificial Intelligence (AI), to design an energy-preserving MAC protocol, with the aim to extend the network lifetime. Our QL-MAC protocol is derive...
Software agents have been exploited to handle the inherent dynamicity in the Internet of Things (IoT) systems, as agents are capable of autonomous, reactive and proactive operation in response to changes in their local environment. Agents, operating at the network edge, enable leveraging cloud resources into the proximity of the user devices. Howev...
The Internet of Things (IoT) is emerging as a ubiquitous and dense ecosystem in which novel devices and smart objects interoperate to establish smart cities, smart buildings, etc. In such application contexts, a plethora of innovative services are expected to stand out, deeply impacting our daily routine. In particular, real IoT drivers will be cyb...
The Internet of Things (IoT) represents the global network which interconnects digital and physical entities. It aims at providing objects with intelligence that allows them to perceive, decide and cooperate with other objects, machines, systems and even humans to enable a whole new class of applications and services. Agent-Based Computing paradigm...
Open interoperability delivers on the promise of enabling vendors and developers to interact and interoperate, without interfering with anyone’s ability to compete by delivering a superior product and experience. In the absence of global IoT standards, the INTER-IoT voluntary approach will support and make it easy for any IoT stakeholder to design...
The Agent-based Cooperating Smart Objects methodology (ACOSO-Meth) fully supports the systematic development of Internet of Things (IoT) systems from analysis to
implementation by tackling their manifold requirements (e.g., self-management, distributed smartness, interoperability). At the same time, ACOSO-Meth allows the re-engineering of existing...
Services have a paramount importance for unfolding the potential of the future Internet of Things (IoT), a dense, open, cyberphysical ecosystem in which humans, conventional
computing systems and daily objects straightforwardly interoperate. By summarizing our previous contributions in such novel research context, this paper promotes our vision of...
Services have a paramount importance for unfolding
the potential of the future Internet of Things (IoT), a dense, open,
cyberphysical ecosystem in which humans, conventional
computing systems and daily objects straightforwardly
interoperate. By summarizing our previous contributions in such
novel research context, this paper promotes our vision of...
The Internet of Things is a revolutionary concept, within cyberphysical systems, rich in potential as well as in multifacet requirements and development issues. To properly address them and to fully support IoT systems development, Agent-Based Computing represents a suitable and effective modeling, programming, simulation paradigm. As matter of fac...
The future Internet of Things (IoT) is expected to enable a new and wide range of decentralized systems (from small-scale smart homes to large-scale smart cities) in which ''things'' are able to sense/actuate, compute, and communicate, and thus play a central and crucial role. The growing importance of such novel networked cyber-physical context de...
Advancements on microelectromechanical systems, embedded technologies, and wireless communications have recently enabled the evolution of conventional everyday things in enhanced entities, commonly defined Smart Objects (SOs). Their continuous and widespread diffusion, along with an increasing and pervasive connectivity, is enabling unforeseen inte...
The Internet of Things is a revolutionary concept within cyberphysical systems, rich in potential as well as in multifacet requirements and development issues. To properly address them and to fully support IoT systems development, Agent-Based Computing represents a suitable and effective modeling, programming, simulation paradigm. As matter of fact...
Services are expected to represent the real drivers for all Internet of Things (IoT) application scenarios, including Industrial IoT (IIoT). Indeed, rather than focusing only on products, enterprises are now investing on product-service hybrids to improve operational efficiency, boost productivity and, most importantly, build new markets, hence div...
Services are expected to represent the real drivers for all Internet of Things (IoT) application scenarios, including Industrial IoT (IIoT). Indeed, rather than focusing only on products, enterprises are now investing on product-service hybrids to improve operational efficiency, boost productivity and, most importantly, build new markets, hence div...
Internet of Thing (IoT) is transforming our physical world into a giant information system, daily providing novel, advanced, cyberphysical services. Differently from conventional computing services (e.g., web-services, and ubiquitous services) that are usually loosely impacted by context-awareness, co-location or transience, Internet of Things (IoT...
The focus of the Internet has recently shifted from current computers and mobile devices to everyday objects, people, and places; consequently, the Internet of Things (IoT) promises to be not only a compelling vision but the actual driving force of the upcoming fourth Industrial Revolution. Novel cyber-physical, customized, and highly pervasive ser...
Within the Information and Communication Technology hype cycle the Internet of Things (IoT) represents a prominent subject, being rich in potentiality as well as in development issues. In this paper, we face the IoT developing process first “in the small” by designing the Smart Objects (SOs, representing the fundamental IoT building blocks) as agen...
Internet of Things (IoT) networks are being continually developed in several domains, however no systematic processes for their modeling and simulation exist so far. In this paper, an agent-oriented approach to IoT networks modeling is proposed by exploiting the ACOSO model. Then, agent-modelled IoT networks of different scales are simulated throug...