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Optimization of Spatial Joins on Mobile Devices [chapter]

Nikos Mamoulis, Panos Kalnis, Spiridon Bakiras, Xiaochen Li
2003 Lecture Notes in Computer Science  
Mobile devices like PDAs are capable of retrieving information from various types of services.  ...  In this paper, we present a framework for optimizing spatial join queries that belong to this class.  ...  Spatial Joins on a Mobile Device As discussed already, we cannot use potential indexes on the servers to evaluate spatial join queries.  ... 
doi:10.1007/978-3-540-45072-6_14 fatcat:nktb6sftubhbtcicu7tn7b6zna

A Mobile Data Management Architecture for Interoperability of Resource and Context Data

Andreas Brodt, Oliver Schiller, Sailesh Sathish, Bernhard Mitschang
2011 2011 IEEE 12th International Conference on Mobile Data Management  
is a central requirement of our architecture, as most of the data on a mobile device possess spatial relevance of some kind.  ...  On the mobile device the figures are very similar, except that they are about ten times slower. The curves indicate that the query plan did not use the spatial index optimally.  ... 
doi:10.1109/mdm.2011.81 dblp:conf/mdm/BrodtSSM11 fatcat:l3z2apgqxffbbmmcsuztqozm54

Ad-hoc distributed spatial joins on mobile devices

P. Kalnis, N. Mamoulis, S. Bakiras, Xiaochen Li
2006 Proceedings 20th IEEE International Parallel & Distributed Processing Symposium  
Assuming that there is no mediator available, the spatial joins must be evaluated on the mobile device.  ...  Here, we focus on ad-hoc spatial joins of datasets residing in multiple non-cooperative servers.  ...  Previous work proposed the MobiJoin algorithm [9] for evaluating spatial joins on mobile devices.  ... 
doi:10.1109/ipdps.2006.1639266 dblp:conf/ipps/KalnisMBL06 fatcat:jdrpzvrtqnbkdk3za2xy3qwzva

Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams [chapter]

Mariem Brahem, Karine Zeitouni, Laurent Yeh, Hafsa El Hafyani
2020 Lecture Notes in Computer Science  
With the rapid advancements of sensor technologies and mobile computing, Mobile Crowd-Sensing (MCS) has emerged as a new paradigm to collect massive-scale rich trajectory data.  ...  Nomadic sensors empower people and objects with the capability of reporting and sharing observations on their state, their behavior and/or their surrounding environments.  ...  This work benefited from the support of the project POLLUS-COPE ANR-15-CE22-0018 of the French National Research Agency (ANR).  ... 
doi:10.1007/978-3-030-38081-6_6 fatcat:lsgk352djne7vlsppexsd4ppa4

Processing Ad-Hoc Joins on Mobile Devices [chapter]

Eric Lo, Nikos Mamoulis, David W. Cheung, Wai Shing Ho, Panos Kalnis
2004 Lecture Notes in Computer Science  
We propose algorithms that join information from non-collaborative remote databases on mobile devices.  ...  Experimental results show that our approach can perform join processing on mobile devices effectively.  ...  Related Work We are aware of no work in the area of transfer-cost based query optimization (measured in dollars/byte) in the context of join queries on mobile devices.  ... 
doi:10.1007/978-3-540-30075-5_59 fatcat:keclkwhpsrhlllcc4umewpgjsm

ViewMark: An interactive videoconferencing system for mobile devices

Shu Shi, Zhengyou Zhang
2011 2011 IEEE 13th International Workshop on Multimedia Signal Processing  
on Windows Mobile platform.  ...  In addition, ViewMark also streams the screen of the presentation slides to mobile devices.  ...  Performance Since the main purpose of our prototype is to demonstrate the concept of interactive mobile videoconferencing, we did not focus on the optimization of A/V streaming.  ... 
doi:10.1109/mmsp.2011.6093792 dblp:conf/mmsp/ShiZ11 fatcat:x5fk6vmx5rhdzjlub3kdxw3zpm

A Geofencing Algorithm Fit for Supply Chain Management

Vincenza Carchiolo, Paolo Walter Modica, Mark Phillip Loria, Marco Toja, Michele Malgeri
2018 Proceedings of the 2018 Federated Conference on Computer Science and Information Systems  
The most discussed and requested application is Geofencing, which allows to determine the topological relation between a moving object and a set of delimited geographical areas.  ...  This paper describes the design of an innovative solution for implementing proactive location-based services suitable for application scenarios with strong time constraints, such as realtime systems, called  ...  of a mobile device [11] .  ... 
doi:10.15439/2018f238 dblp:conf/fedcsis/CarchioloMLTM18 fatcat:liu6fg4ijfh4rdtuq2r3rkug6a

Towards location-based social networking services

Chi-Yin Chow, Jie Bao, Mohamed F. Mokbel
2010 Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks - LBSN '10  
In GeoSocialDB, we aim to implement these services as query operators inside a database engine to optimize the query processing performance.  ...  the advances in the location-aware hardware and software technologies, location-based social networking applications have been proposed to provide services for their users, taking into account both the spatial  ...  the capacity of their mobile devices.  ... 
doi:10.1145/1867699.1867706 dblp:conf/gis/ChowBM10 fatcat:3ulxrf7zifgurjzxvkacrago3y

Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps [article]

Chaoyang He, Ming Li
2019 arXiv   pre-print
The spatial anti-aliasing technique for line joins (intersections of the road segments) on vector maps is exclusively crucial to visual experience and system performance.  ...  Our proposed spatial anti-aliasing technique has been widely used in Internet Maps such as Tencent Mobile Maps and Tencent Automotive Maps.  ...  In this work, to optimize spatial anti-aliasing rendering for line joins on vector maps, our algorithm runs on the OpenGL rendering pipeline through shader programming (vertex shader and fragment shader  ... 
arXiv:1906.11999v1 fatcat:znd4zfg6tnc4nlkji43n6wdbfy

Skyline Queries Against Mobile Lightweight Devices in MANETs

Zhiyong Huang, C.S. Jensen, Hua Lu, Beng Chin Ooi
2006 22nd International Conference on Data Engineering (ICDE'06)  
We present techniques that aim to reduce the costs of communication among mobile devices and reduce the execution time on each single mobile device.  ...  stored on many mobile devices due to the storage limitations.  ...  Acknowledgments This work is supported by the SpADE (A SPatio-temporal Autonomic Database Engine for location-aware services) [2] project, which studies the provisioning of mobile users with location-based  ... 
doi:10.1109/icde.2006.142 dblp:conf/icde/HuangJLO06 fatcat:c47kbunoerbidbr33y7f3tdqoe

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

Di Wu, Xiang Nie, Eskindir Asmare, Dmitri Arkhipov, Zhijing Qin, Renfa Li, Julie McCann, Keqin Li
2018 IEEE Transactions on Parallel and Distributed Systems  
The UbiFlow controller differentiates flow scheduling based on per-device requirements and whole-partition capabilities.  ...  The growth of Internet of Things (IoT) devices with multiple radio interfaces has resulted in a number of urban-scale deployments of IoT multinetworks, where heterogeneous wireless communication solutions  ...  We formulate the assignment of a set of newly joined mobile IoT devices MD to a set of access points AP as a generalized assignment problem (GAP).  ... 
doi:10.1109/tpds.2018.2883438 fatcat:dsycq2ymrvgtve2d2jepvvxe6u

Towards scalable location-aware services

Mohamed F. Mokbel, Walid G. Aref, Susanne E. Hambrusch, Sunil Prabhakar
2003 Proceedings of the eleventh ACM international symposium on Advances in geographic information systems - GIS 2003  
We demonstrate how sharing can be integrated into query predicates, e.g., selection and spatial join processing.  ...  The emergence of location-aware services calls for new real time spatio-temporal query processing algorithms that deal with large numbers of mobile objects and queries.  ...  On the abstract level, spatio-temporal join can be considered as a spatial join.  ... 
doi:10.1145/956676.956691 dblp:conf/gis/MokbelAHP03 fatcat:7gryalxck5aejcpkqre5iiqgqu

A Survey on IoT Big Data Analytic Systems: Current and Future

Yuya Sasaki
2021 IEEE Internet of Things Journal  
Since a large number of diverse devices such as vehicles, household electrical appliances, smart phones, and environmental sensors are connected to the Internet, we can obtain a large volume of diverse  ...  The generation of IoT big data means that efficient analytic systems are needed for many application scenarios, for example, to optimize urban planning, solve air pollution problems, and improve business  ...  : an item of data is joined with the k spatially (temporally) closest data.  ... 
doi:10.1109/jiot.2021.3131724 fatcat:cgvglkxiavdg3a6uv2zljl4ofm

Stanford Peer-to-Peer Multicast (SPPM) - Overview and recent extensions

Jeonghun Noh, Pierpaolo Baccichet, Frank Hartung, Aditya Mavlankar, Bernd Girod
2009 2009 Picture Coding Symposium  
The recent extensions to live streaming are time-shifted streaming, interactive region-of-interest (IRoI) streaming, and streaming to mobile devices.  ...  We extend the live streaming to mobile devices by addressing challenges due to heterogeneous displays, connection speeds, and decoding capabilities.  ...  SPPM extension to stream to mobile devices involves multicasting to a heterogeneous peer population of fixed and mobile devices with different decoding and display capabilities. Fig. 1 .  ... 
doi:10.1109/pcs.2009.5167392 dblp:conf/pcs/NohBHMG09 fatcat:h2djjbs4qje4ligatweovrrq5i

A Deep Reinforcement Learning Approach for Composing Moving IoT Services [article]

Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair
2021 arXiv   pre-print
The experiments on two real-world datasets verify the effectiveness and efficiency of the deep reinforcement learning-based approach.  ...  We develop a novel framework for efficiently and effectively discovering crowdsourced services that move in close proximity to a user over a period of time.  ...  The statements made herein are solely the responsibility of the authors.  ... 
arXiv:2111.03967v1 fatcat:pu7di2fslff3poaiffhdcddneu
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