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DIM: a distributed air index based on MapReduce for spatial query processing in road networks

Ran Jin, Gang Chen, Anthony K. H. Tung, Lidan Shou, Beng Chin Ooi, Yuting Gu
2018 EURASIP Journal on Wireless Communications and Networking  
Then, we propose the real distributed air index method DIM and kNN spatial query processing algorithm based on the MapReduce platform.  ...  As an important technology that can provide location-based services, spatial query processing has become a research hotspot.  ...  He is a professor in the College of Computer Science, Zhejiang University, China. Prior to joining the faculty, he worked in the software industry for more than 2 years.  ... 
doi:10.1186/s13638-018-1287-y fatcat:57wtsvxt5bb3xmquw3bu2se44e

Data Semantics [chapter]

2017 Encyclopedia of GIS  
Web Mapping and Web Cartography Web Services, Geospatial Cross-References Internet-Based Spatial Information Retrieval Internet GIS  ...  Cross-References Data Infrastructure, Spatial Geography Markup Language (GML) Metadata and Interoperability, Geospatial National Spatial Data Infrastructure (NSDI) OGC's Open Standards for Geospatial Interoperability  ...  To address these problems, one needs: (i) a distributed spatial index structure over the sensor network, maintained by the sensor nodes, to process spatial queries in a distributed fashion, and (ii) a  ... 
doi:10.1007/978-3-319-17885-1_100256 fatcat:npcac6ns2zdjfokmwpmzb2s6km

Associate Editors-in-Chief

2014 Acta Geologica Sinica (English)  
We thank the SocioPatterns collaboration for providing privileged access to the SocioPatterns sensing platform.  ...  Acknowledgements This work was supported by the VENUS research cluster at the interdisciplinary Research Center for Information System Design (ITeG) at Kassel University and by the EU-project EveryAware  ...  One is for the training phase and the other is for production calculation. As Figure 2 reveals, the training phase deals with batch processing (MapReduce).  ... 
doi:10.1111/1755-6724.12260 fatcat:ffjz4kvnqnavzeipqzyladsyyu

Associate Editors-in-Chief [chapter]

2012 International Encyclopedia of Housing and Home  
We thank the SocioPatterns collaboration for providing privileged access to the SocioPatterns sensing platform.  ...  Acknowledgements This work was supported by the VENUS research cluster at the interdisciplinary Research Center for Information System Design (ITeG) at Kassel University and by the EU-project EveryAware  ...  One is for the training phase and the other is for production calculation. As Figure 2 reveals, the training phase deals with batch processing (MapReduce).  ... 
doi:10.1016/b978-0-08-047163-1.09002-0 fatcat:t3rt56yjb5bwfnn5ttrcx3g2dy

Context-dependent exogenous coordination for building large scale, dynamic fog computing applications

Nam Ky Giang
2019
To support our proposed coordination model in such a dynamic environment, we develop an incremental coordination technique that based on historical coordination activities to reduce resource consumption  ...  Second, the geo-distribution of fog devices introduces new applications that depend on such devices' physical context.  ...  Data Querying Applications TinyDB -TinyDB [60] is a popular query engine for WSN where the developers can issue a query on top of a WSN and such query is processed collectively by the network as a whole  ... 
doi:10.14288/1.0383394 fatcat:xvju2qfyyjgf5agw6vnqwgtaga

Ontology-based Consistent Specification and Scalable Execution of Sensor Data Acquisition Plans in Cross-Domain loT Platforms [article]

LUCA FERRARI
2018
MapReduce has incredible scalability potential and has been used in production on tens of thousands of nodes.As a target for development, MapReduce is known for having a rather steep learning curve.  ...  Sockets are a TCP-based technology for providing bidirectional network communication over a single connection.  ...  Rules that allows to efficiently and correctly convert the temporal and spatial granularities are stored on collections in a DB.  ... 
doi:10.13130/ferrari-luca_phd2018-04-05 fatcat:zve2muvox5fknbmfgctsvsov7q

Efficient development and execution of environmental applications on high performance parallel and distributed computing infrastructures

Diana-Denisa Rodila, Anthony Lehmann, Nicolas Ray, Dorian Gorgan
2016
We propose in this thesis a general methodology and framework for easily porting and executing environmental applications simultaneously on different parallel and distributed infrastructures such as cluster  ...  This thesis focuses on analyzing and exploring solutions in which Information Technology, and especially parallel and distributed high performance systems, can improve the urgent needs of environmental  ...  symmetric difference, buffers; Spatial indexes for high speed spatial querying; Processing and analytical functions for both vector and raster data; Raster map algebra for fine-grained raster processing  ... 
doi:10.13097/archive-ouverte/unige:92516 fatcat:2vwxzc3tnbemflqrst4baoaqvq

Formal Foundations for Networking (Dagstuhl Seminar 15071) Holistic Scene Understanding (Dagstuhl Seminar 15081) Limitations of Convex Programming: Lower Bounds on Extended Formulations and Factorization Ranks (Dagstuhl Seminar 15082) Smart Buildings and Smart Grids (Dagstuhl Seminar 15091)

Sebastian Erdweg, Martin Erwig, Richard Paige, Eelco Visser, Nikolaj Bjørner, Nate Foster, Philip Godfrey, Pamela Zave, Yvonne Coady, James Kempf, Rick Mcgeer, Stefan Schmid (+12 others)
unpublished
Near-term research goals (2 years out): Scalable IP multicast that works for wide area (short-to-mid-term) Scalable and interoperable communication paths (  ...  Structured prediction in Remote We propose a method to label roads in aerial images and extract a topologically correct road network.  ...  Some application-level processing such as MapReduce aggregation could even be offloaded to network devices for greater efficiency. 1 Discussion participants pointed out a growing diversity of hardware  ... 
fatcat:sytmo76kmrb2jdk7za7ce7pwvm

Urban Edge Computing

Julien Gedeon
2020
The new paradigm of Edge Computing aims to bring resources for storage and computations closer to end devices, alleviating stress on core networks and enabling low-latency mobile applications.  ...  While Cloud Computing carries out processing in large centralized data centers, Edge Computing leverages smaller-scale resources— often termed cloudlets—in the vicinity of users.  ...  [Dut+17] * present AirSense, a crowdsensing-based air quality monitoring system.  ... 
doi:10.25534/tuprints-00013362 fatcat:sei3mploz5hzfiemuicm3ym5la

The GAP project: GPU applications for High Level Trigger and Medical Imaging

Matteo Bauce, Andrea Messina, Marco Rescigno, Stefano Giagu, Gianluca Lamanna, Massimiliano Fiorini
2015
In this paper we focus on the application of GPUs in asynchronous trigger systems, employed for the high level trigger of LHC experiments.  ...  In this paper we focus on the application of GPUs in asynchronous trigger systems, employed for the high level trigger of LHC experiments.  ...  All procedures for MC simulations are realized in OpenCL and are optimized for execution on GPUs.  ... 
doi:10.3204/desy-proc-2014-05/1 fatcat:itmpu5ru3vex5oamv4ldjuja3y

Proceedings of the GPU Computing in High-Energy Physics 2014 Conference (GPUHEP2014)

Claudio Bonati, Massimo D'Elia, Gianluca Lamanna, Marco Sozzi
2015
The conference was organized in plenary sessions of invited and contributed talks, and poster presentations on the following topics: • GPUs in triggering applications • Low-level trigger systems based  ...  on GPUs • Use of GPUs in high-level trigger systems • GPUs in tracking and vertexing • Challenges for triggers in future HEP experiments • Reconstruction and Monte Carlo software on GPUs • Software frameworks  ...  All procedures for MC simulations are realized in OpenCL and are optimized for execution on GPUs.  ... 
doi:10.3204/desy-proc-2014-05 fatcat:ghvy6mkhfzcnpgj3rag4jaiyje