A5066627436- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Mobile Ad Hoc Networks
- Wireless Communication Networks Research
- Advanced Data Storage Technologies
- Opportunistic and Delay-Tolerant Networks
- Advanced Wireless Network Optimization
- Big Data and Business Intelligence
- Research Data Management Practices
- Vehicular Ad Hoc Networks (VANETs)
- Advanced MIMO Systems Optimization
- Environmental Monitoring and Data Management
- Big Data Technologies and Applications
- Atmospheric and Environmental Gas Dynamics
- Cloud Computing and Resource Management
- Oceanographic and Atmospheric Processes
- Advanced Computational Techniques and Applications
- Meteorological Phenomena and Simulations
- Wireless Networks and Protocols
- Data Mining Algorithms and Applications
- IPv6, Mobility, Handover, Networks, Security
- Air Quality Monitoring and Forecasting
- Parallel Computing and Optimization Techniques
- Human Mobility and Location-Based Analysis
- Urban Planning and Valuation
Central Maine Community College
2012-2022
CMCC Foundation - Euro-Mediterranean Center on Climate Change
2013-2022
Cambia
2012-2018
Innovation Engineering (Italy)
2007-2017
University of Salento
2007-2013
University of Salerno
2009
This paper describes the achievements of H2020 project INDIGO-DataCloud. The has provided e-infrastructures with tools, applications and cloud framework enhancements to manage demanding requirements scientific communities, either locally or through enhanced interfaces. middleware developed allows federate hybrid resources, easily write, port run cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public private e-infrastructures, including those...
Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous sources well ability to extract actionable insights from them. Besides data, full stack (from platform services applications) Information Communications Technology (ICT) solutions need specifically adopted address smart cities challenges. is one of key use cases addressed in context EUBra-BIGSEA...
This work introduces Ophidia, a big data analytics research effort aiming at supporting the access, analysis and mining of scientific (n-dimensional array based) data. The Ophidia platform extends, in terms both primitives types, current relational database system implementations (in particular MySQL) to enable efficient tasks on array-based To it exploits well-known numerical libraries, distributed hierarchical storage model parallel software framework based Message Passing Interface run...
The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the framework, which responsible atomically processing, transforming manipulating array-based data. This framework provides common way to run on large clusters tasks applied datasets. paper highlights design principles, algorithm, most relevant implementation aspects of framework. Some experimental results, related couple operators in real cluster...
This work presents the I/O in-memory server implemented in context of Ophidia framework, a big data analytics stack addressing scientific analysis n-dimensional datasets. The provided represents key component 2.0 architecture proposed this paper. It exploits (i) NoSQL approach to manage at storage level, (ii) user-defined functions perform array-based analytics, (iii) Storage API heterogeneous back-ends through plugin-based approach, and (iv) an parallel engine address high scalability...
The Ophidia project aims to provide a big data analytics platform solution that addresses scientific use cases related large volumes of multidimensional data. In this work, the software infrastructure is discussed in detail, presenting entire stack from level-0 (the store) level-3 web service front end). particular, paper presents cube primitives provided by framework, discussing detail most relevant and available manipulation operators. These represent proper foundations build more complex...
The availability of systems able to process and analyse big amount data has boosted scientific advances in several fields. Workflows provide an effective tool define manage large sets processing tasks. In the analytics area, Ophidia project provides a cross-domain framework for analysis scientific, multi-dimensional datasets. exploits server-side, declarative, parallel approach mining. It also features complete workflow management system support execution complex analysis, schedule tasks...
In the context of EU H2020 INDIGO-DataCloud project several use case on large scale scientific data analysis regarding different research communities have been implemented. All them require availability amount related to either output simulations or observed from sensors and need (big) solutions run experiments. More specifically, paper presents studies following communities: (i) European Multidisciplinary Seafloor water column Observatory (INGV-EMSO), (ii) Large Binocular Telescope, (iii)...
Broadcasting will be extensively used in Vehicular Ad Hoc Networks (VANET), mainly for spreading out safety messages. A number of Intelligent Flooding Schemes (IFSs) have been recently proposed to optimize message dissemination. Some them exploit a distributed timer-based contention mechanism order allow the most suitable nodes forward packet and suppress other potential forwarders. This paper deals with those schemes which are based on handshake similar RTS/CTS. helps avoiding forwarders,...
A case study on climate models intercomparison data analysis addressing several classes of multi-model experiments is being implemented in the context EU H2020 INDIGO-DataCloud project. Such require availability large amount (multi-terabyte order) related to output simulations as well exploitation scientific management tools for large-scale analytics. More specifically, paper discusses detail a use precipitation trend terms requirements, architectural design solution, and infrastructural...
Recently, there has been much effort to integrate heterogeneous wireless technologies in order make overlay networks able provide mobile users with ubiquitous Internet access. Handover management is still one of the most challenging issues be solved for seamless integration networks. In this paper, an algorithm vertical handover QoS guarantees between IEEE 802.16e and 802.11e networks, without computational complexity added on nodes, proposed. It uses a decision mechanism based following...
Abstract. Reliable and timely information on the environmental conditions at sea is key to safety of professional recreational users as well optimal execution their activities. The possibility obtaining in due time with adequate accuracy marine coastal environment defined situational awareness (SSA). Without meteorological oceanographic conditions, have a limited capacity respond, which has led loss lives large disasters enormous consequent damage economy, society ecosystems. Within...
Open Science is key to future scientific research and promotes a deep transformation in the whole process encouraging adoption of transparent collaborative approaches aimed at knowledge sharing. increasingly gaining attention current agenda worldwide. To effectively address goals, besides Access results data, it also paramount provide tools or environments support process, particular design, execution sharing reproducible experiments, including data provenance (or lineage) tracking. This...
Multi-hop relay is essential for ad-hoc networking in order to interconnect remote communication devices. This enables information exchange areas without a pre-deployed communications infrastructure, making it an appealing technology the military community. The focus of this article on TCP throughput measurements multi-hop based WLAN using COTS present study shows that as well stability routing topology do not always meet requirements, and special-purpose solutions implementations are hence...
Sea Situational Awareness (SSA) is strategically important for management purposes of Italian Seas and coastal areas. The lack adequate dissemination marine environmental data consequent poor knowledge available operations at sea reduce the response capacity, leading to loss lives potential socio-economic damages. SSA topic being addressed by "TESSA", an industrial research project funded under PON "Ricerca & Competitività 2007-2013" program Ministero Italiano dell'Istruzione,...
Vehicular communications could be exploited for energy management of vehicles. We propose a system which provides that vehicle estimates its future speed profile gathering status messages broadcasted by the surrounding vehicles and/or infrastructure and inputting them in traffic simulator used as predictor. The has been validated simulation considering an urban scenario inspired to Ecotekne campus at University Salento Manhattan scenario, very challenging relation prediction profile....
Abstract. An efficient, secure, and interoperable data platform solution has been developed in the TESSA project to provide fast navigation access stored archive, as well a standard-based metadata management support. The mainly targets scientific users Situational Sea Awareness high-level services such Decision Support Systems (DSS). These datasets are accessible through following three main components: Data Access Service (DAS), Metadata Service, Complex Analysis Module (CDAM). DAS allows...
This paper proposes a novel algorithm which enables an ARQ protocol defined for IEEE 802.16e to vary the packet size depending on wireless channel behaviour. The adopts analytical approach dynamically evaluating optimal size. latter is derived from expression of efficiency, obtained by exploiting finite-state Markov error model also considers Adaptive Modulation/Coding. effectiveness designed in improving TCP performance has been evaluated.
A number of Intelligent Flooding Schemes have been recently proposed in order to optimize message dissemination Vehicular Ad Hoc Networks. In this paper we focus on a scheme which exploits distributed timer-based contention mechanism for allowing only winners forward the and suppress other potential forwarders. particular, at each hop along propagation direction, forwarders wait time is inversely proportional their distance from sender before rebroadcasting packet; forwarder suppressed if it...
A number of Intelligent Flooding Schemes have been recently proposed to optimize message dissemination in Vehicular Ad Hoc Networks. Some them exploit a distributed timer-based contention mechanism order allow the most suitable nodes forward packet and suppress other potential forwarders. Unfortunately, due some problems related suppression mechanism, these schemes are not able completely avoid useless copies be broadcast. Moreover, many cases, determines when has rebroadcast, thus thwarting...