A5028177734- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Cloud Computing and Resource Management
- Parallel Computing and Optimization Techniques
- Peer-to-Peer Network Technologies
- Data Mining Algorithms and Applications
- Advanced Data Storage Technologies
- Caching and Content Delivery
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Cellular Automata and Applications
- Distributed systems and fault tolerance
- Big Data and Business Intelligence
- Data Stream Mining Techniques
- IoT and Edge/Fog Computing
- Algorithms and Data Compression
- Human Mobility and Location-Based Analysis
- Time Series Analysis and Forecasting
- Interconnection Networks and Systems
- Advanced Clustering Algorithms Research
- Embedded Systems Design Techniques
- Complex Network Analysis Techniques
- Green IT and Sustainability
University of Calabria
2016-2025
Noida International University
2023
Fuzhou University
2023
Central Maine Community College
2022
CMCC Foundation - Euro-Mediterranean Center on Climate Change
2022
Indian Council of Agricultural Research
2004-2015
Institute for High Performance Computing and Networking
2004-2013
National Research Council
2007-2013
National Academies of Sciences, Engineering, and Medicine
2013
Institute of High Performance Computing
2012
Extracting useful knowledge from huge digital datasets requires smart and scalable analytics services, programming tools, applications.
Designing, building, and implementing an architecture for distributed knowledge discovery.
Peer-to-peer (P2P) networks and grids are distributed computing models that enable decentralized collaboration by integrating computers into in which each can consume offer services. P2P is a class of self-organizing systems or applications takes advantage resources storage, processing, information, human presence available at the Internet's edges. A grid geographically computation platform comprising set heterogeneous machines users access through single interface. Both hot research topics...
Flight delays are frequent all over the world (about 20% of airline flights arrive more than 15min late) and they estimated to have an annual cost billions dollars. This scenario makes prediction flight a primary issue for airlines travelers. The main goal this work is implement predictor arrival delay scheduled due weather conditions. predicted takes into consideration both information (origin airport, destination departure time) conditions at origin airport according timetable. Airline...
The extraction of useful information from data is often a complex process that can be conveniently modeled as analysis workflow. When very large sets must analyzed and/or mining algorithms executed, workflows may take long times to complete their execution. Therefore, efficient systems are required for the scalable execution workflows, by exploiting computing services Cloud platforms where increasingly being stored. objective paper demonstrate how software technologies integrated implement...
Social media analysis is a fast growing research area aimed at extracting useful information from social platforms. This paper presents methodology, called IOM-NN (Iterative Opinion Mining using Neural Networks), for discovering the polarization of users during election campaigns characterized by competition political factions. The methodology uses an automatic incremental procedure based on feed-forward neural networks analyzing posts published users. Starting limited set classification...
Abstract In the age of Internet Things and social media platforms, huge amounts digital data are generated by collected from many sources, including sensors, mobile devices, wearable trackers security cameras. This data, commonly referred to as Big Data, is challenging current storage, processing, analysis capabilities. New models, languages, systems algorithms continue be developed effectively collect, store, analyze learn Data. Most recent surveys provide a global tools that used in main...
Data mining algorithms are widely used today for the analysis of large corporate and scientific datasets stored in databases data archives. Industry, science, commerce fields often need to analyze very maintained over geographically distributed sites by using computational power parallel systems. The grid can play a significant role providing an effective support knowledge discovery applications. For development applications on grids we designed system called Knowledge Grid. This paper...
Cloud computing systems provide large-scale infrastructures for high-performance that can adapt to user and application needs. Multi-agent (MASs) comprise interacting agents capable of intelligent behavior. Integrating these two technologies could enable high-performance, complex applications, making clouds more flexible autonomic providing MASs with a reliable scalable infrastructure on which execute applications.
Every day millions of people use social media platforms by generating a very large amount opinion-rich data, which can be exploited to extract valuable information about human dynamics and behaviors. In this context, the present manuscript provides precise view 2020 US presidential election jointly applying topic discovery, opinion mining, emotion analysis techniques on data. particular, we clustering-based technique for extracting main discussion topics monitoring their weekly impact...
In recent years, there has been an increase in the use of edge-cloud continuum solutions to efficiently collect and analyze data generated by IoT devices. this paper, we investigate what extent these can manage tasks related urban mobility, combining real-time low latency analysis offered edge with large computing storage resources provided cloud. Our proposal is organized into three parts. The first part focuses on defining application scenarios which geotagged objects, such as taxis, cars,...
Just as the Internet is shifting its focus from information and communication to a knowledge delivery infrastructure, we see Grid moving computation data management pervasive, worldwide infrastructure. We have technology store access data, but seem lack ability transform tombs into useful extract them. review some of current future technologies that will impact architecture, computational model, applications grids. attempt forecast evolution grids what call next-generation grid, with...