A5076098917- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Opportunistic and Delay-Tolerant Networks
- Scientific Computing and Data Management
- Parallel Computing and Optimization Techniques
- Graph Theory and Algorithms
- Data Stream Mining Techniques
- Advanced Software Engineering Methodologies
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Service-Oriented Architecture and Web Services
- Complex Network Analysis Techniques
- Software-Defined Networks and 5G
- Software System Performance and Reliability
- Blockchain Technology Applications and Security
- Advanced Database Systems and Queries
- Cloud Data Security Solutions
- Privacy-Preserving Technologies in Data
- Recommender Systems and Techniques
- Image and Video Quality Assessment
- Access Control and Trust
- Human Mobility and Location-Based Analysis
University of Pisa
2016-2025
Université d'Orléans
2023-2024
Centre National de la Recherche Scientifique
2023-2024
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
2014-2023
Laboratoire de Physique et Chimie de l’Environnement et de l’Espace
2023
Laboratoire d’études spatiales et d’instrumentation en astrophysique
2023
Observatoire de Paris
2023
Université Paris Cité
2023
Institute of Scientific and Technical Information of China
2014-2023
Université de Versailles Saint-Quentin-en-Yvelines
2023
Emerging cross-reality (XR) applications, including holography, augmented, virtual, and mixed reality, are characterized by unprecedented requirements for Quality of Experience (QoE), largely exceeding those currently attainable. To cope with these requirements, noticeable efforts a number initiatives ongoing to enhance the current communications technologies, especially in direction supporting ultralow latency increased bandwidth. This work proposes an architecture that puts together key...
In recent years, the emergence of XR (eXtended Reality) applications, including Holography, Augmented, Virtual and Mixed Reality, has resulted in creation rather demanding requirements for Quality Experience (QoE) Service (QoS). order to cope with such as ultra-low latency increased bandwidth, it is paramount importance leverage certain technological paradigms. The purpose this paper identify these QoE QoS then provide an extensive survey on technologies that are able facilitate Cloud-based...
The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined with a plethora Quality Service and Experience requirements. Resource usage prediction can provide valuable insights into the corresponding orchestration management process in form several proactive functionalities resource scaling, service migration, task offloading scheduling. These processes are crucial Cloud Edge environments exploited by MMG applications. Thus, producing accurate predictions concerning these...
The Internet is experiencing a fast expansion at its edges. wide availability of heterogeneous resources the Edge pivotal in definition and extension traditional Cloud solutions toward supporting development new applications. However, dynamic distributed nature these poses challenges for optimization behavior system. New decentralized self-organizing methods are needed to face Cloud-Edge scenario's needs optimize exploitation resources. In this paper we propose adaptive solution that reduces...
Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying on programmer ability design "from scratch" efficient autonomic policies, we encapsulate general controller features into algorithmic skeletons. Then leave duty of specifying parameters needed specialise needs particular application at hand. This results having fast prototype and tune distributed/parallel...
Finding connected components is a fundamental task in applications dealing with graph analytics, such as social network analysis, web mining and image processing. The exponentially growing size of today's graphs has required the definition new computational models algorithms for their efficient processing on highly distributed architectures. In this paper we present CRACKER, an iterative MapReduce-like algorithm to detect large graphs. strategy CRACKER transform input set trees, one each...
This paper discusses the perspective of H2020 TEACHING project on next generation autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual physical resources spanning edge-cloud continuum. puts forward human-centred vision leveraging physiological, emotional, cognitive state users as driver for adaptation optimization applications. It does so by building distributed, embedded federated learning system complemented methods tools to enforce...
Programming models based on algorithmic skeletons promise to raise the level of abstraction perceived by programmers when implementing parallel applications, while guaranteeing good performance figures. At same time, however, they restrict freedom implement arbitrary parallelism exploitation patterns. In fact, efficiency is achieved restricting patterns provided programmer useful ones for which efficient implementations, as well and compositions, are known. this work we introduce muskel ,...
The broad diffusion of Cloud Computing has fostered the proliferation a large number cloud computing providers. need Brokers arises for helping consumers in discovering, considering and comparing services with different capabilities offered by Also, consuming exposed providers, when possible, may alleviate vendor lock-in. While it can be straightforward to choose best provider deploying small homogeneous applications, things get harder if size complexity applications grow up. In this paper...
The Cloud-Edge continuum enhances application performance by bringing computation closer to data sources. However, it presents considerable challenges in managing resources and determining service placement, as these tasks require navigating diverse, dynamic environments characterised fluctuating network conditions. Addressing calls for tools combining simulation emulation of systems rigorously assess novel resource management strategies. In this paper, we introduce ECLYPSE, a Python-based...
This paper introduces the ACCORDION framework, a novel framework for management of cloud-edge continuum, targeting support NextGen applications with strong QoE requirements. The addresses need an ever expanding and heterogeneous pool edge resources in order to deliver promise ubiquitous computing application clients. endeavor entails two main technical challenges. First, assure interoperability when incorporating infrastructures pool. Second, largely dynamic nodes. optimization delivered...
Gossip-based Peer-to-Peer protocols proved to be very efficient for supporting dynamic and complex information exchange among distributed peers. They are useful building maintaining the network topology itself as well support a pervasive diffusion of injected into network. This is in world where there growing need access aware many types resources like Internet pages, shared files, online products, news information, finding flexible, scalable mechanisms addressing this topic key issue, even...
P2P overlays based on Delaunay triangulations have been recently exploited to implement systems providing efficient routing and data broadcast solutions. Several applications such as Distributed Virtual Environments geographical nearest neighbours selection benefit from this approach. This paper presents a novel distributed algorithm for the incremental construction of overlay in network. The employs version classical Edge Flipping procedure. Each peer builds links incrementally by...