PPT-Simba: Efficient In-Memory Spatial Analytics

Author : phoebe-click | Published Date : 2018-02-25

Dong Xie Feifei Li Bin Yao Gefei Li Liang Zhou Minyi Guo Spatial Data is Ubiquitous Locationbased Services IoT Projects amp Sensor Networks Social Media

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Simba: Efficient In-Memory Spatial Analy..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Simba: Efficient In-Memory Spatial Analytics: Transcript

Dong Xie Feifei Li Bin Yao Gefei Li Liang Zhou Minyi Guo Spatial Data is Ubiquitous Locationbased Services IoT Projects amp Sensor Networks Social Media Problems of Existing Systems. Thegoalofa thresholding probabilisticspatialqueryistoretrievetheobjectsthatqualifythe spatial predicates with probability that exceeds a threshold Accordingly a ranking probabilistic spatial query selects the objects with thehighestprobabilitiestoqu : Tunable End-to-End Data Consistency For Mobile Apps. Dorian Perkins. *†. , . Nitin. . Agrawal. †. , . Akshat. . Aranya. †. , Curtis Yu. *. , . Younghwan. Go. ^†. , . Harsha. V. . Madhyastha. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. SIMBA: Lu Jiang. 1. , Wei Tong. 1. , Deyu Meng. 2. , Alexander G. Hauptmann. 1. 1. . School of Computer Science, Carnegie Mellon University. 2. School of Mathematics and Statistics, Xi'an . Jiaotong. University. : . Architecural. Support for Spatial Safety of the C Programming Language. Kyle Yan. Yu Xing. 2014/10/15. Spatial safety in C programming. C is the standard systems programming language:. control over data representation, memory management, performance…. Findings from . An AIS-based Survey. Namchul Shin. Pace University. Pre-ICIS SIGGIS . Workshop. Dublin, Ireland. December 11, 2016. Background: SIGGIS Workshop at AMCIS 2014. Observations about geospatial research in the IS/IT field (Pick and Shin, 2014). Overview . of Spatial Big Data and . Analytics. (8:40-9:15am). James B. Pick. University of Redlands School of Business. James_pick@redlands.edu. . Pre-ICIS Workshop on Locational Analytics, Spatial . James Pick and Namchul Shin. 1. Definition of Spatial Big Data. Big Data . are “data sets that are so big they cannot be handled efficiently by common database management systems” (Dasgupta, 2013).. A. first person . B. omniscient . C. third person . D. second person . 1. C Third Person. The clip we watched showed the events happening from the outside. We did not see the events through any certain character’s viewpoint.. Dorian Perkins. *†. , . Nitin. . Agrawal. †. , . Akshat. . Aranya. †. , Curtis Yu. *. , . Younghwan. Go. ^†. , . Harsha. V. . Madhyastha. ‡. , and . Cristian. . Ungureanu. †. †. NEC Labs America, . Long - Term Memory into a Common Spatial Image Nicholas A. Giudice, 1 Roberta L. Klatzky, 2 Christopher R. Bennett, 1 and Jack M. Loomis 3 1 Spatial Informatics Program, School of Computing & Informat STIV0CVRSUy FV UUCVIVR y SSTVVy NC V1y EuI 5UN RI6 VI IR5I6 2 N I9U UNUU 2A uI N 2 09C T S913 B9U Uf Psychiatric Rehabilitation: 18-Month Longitudinal Study. Kee-Hong . Choi. 1,2. , . L. Felice . Reddy. 1. , . Nancy . Liu. 1. , . & William D. . Spaulding. 1. . University of . Nebraska-Lincoln. 1.

Download Document

Here is the link to download the presentation.
"Simba: Efficient In-Memory Spatial Analytics"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.