Efficient kNN Search with Occupation in Large-Scale On-demand Ride-Hailing

2020 ◽  
pp. 29-41
Author(s):  
Mengqi Li ◽  
Dan He ◽  
Xiaofang Zhou
Keyword(s):  
Large Scale ◽  
On Demand ◽  
Knn Search

scholarly journals How Much Can Large-Scale Video-on-Demand Benefit From Users' Cooperation?

2015 ◽  
Vol 23 (6) ◽  
pp. 1846-1861 ◽  
Author(s):  
Delia Ciullo ◽  
Valentina Martina ◽  
Michele Garetto ◽  
Emilio Leonardi
Keyword(s):  
Large Scale ◽  
Video On Demand ◽  
On Demand

Large-Scale Video-on-Demand Systems

2006 ◽  
pp. 391-399
Author(s):  
J. Feng ◽  
W. F. Poon ◽  
K. T. Lo
Keyword(s):  
Large Scale ◽  
Video On Demand ◽  
Demand Systems ◽  
On Demand

Using Broadcast Networks to Create On-demand Extremely Large Scale High-throughput Computing Infrastructures

2012 ◽  
Vol 10 (3) ◽  
pp. 419-445 ◽  
Author(s):  
Rostand Costa ◽  
Francisco Brasileiro ◽  
Guido Lemos Filho ◽  
Dênio Sousa
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Broadcast Networks ◽  
High Throughput Computing ◽  
On Demand

scholarly journals GATECloud.net: a platform for large-scale, open-source text processing on the cloud

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120071 ◽  
Author(s):  
Valentin Tablan ◽  
Ian Roberts ◽  
Hamish Cunningham ◽  
Kalina Bontcheva
Keyword(s):  
Cloud Computing ◽  
Language Processing ◽  
Large Scale ◽  
Virtual Machines ◽  
Cost Benefit Analysis ◽  
Text Processing ◽  
Cost Benefit ◽  
Data Intensive ◽  
On Demand ◽  
Usage Evaluation

Cloud computing is increasingly being regarded as a key enabler of the ‘democratization of science’, because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research—GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost–benefit analysis and usage evaluation.

scholarly journals Analysis of the Emergency Fire Response Team for Disaster Response in Japan

2020 ◽  
Vol 20 (2) ◽  
pp. 133-145 ◽  
Author(s):  
Hyeongho Choi ◽  
Euipyeong Lee
Keyword(s):  
Disaster Response ◽  
Large Scale ◽  
Fire Departments ◽  
Fire Response ◽  
Fire Fighters ◽  
On Demand ◽  
Fire Extinguishing ◽  
The Status ◽  
Response Team ◽  
Hyogo Prefecture

32,000 fire fighters from 451 fire departments in 41 prefectures were mobilized to support and assist fire extinguishing and lifesaving in the Hyogo Prefecture Nanbu Earthquake that occurred on January 17, 1995. Based on this experience, the emergency fire response team for disaster response (EFRT) was established by the Fire and Disaster Management Agency (FDMA) on June 30, 1995. When large scale disasters occur over wide areas, EFRTs in Japan are dispatched to the disaster places to assist fire fighting on demand or by the order of the commissioner of the FDMA. This study analyzed the background required for establishing the EFRT; the process and details of the legislation; the establishment of basic plans, organizations, and operation plans; and assistance dispatch along with the plan for receiving outside support; registration and the plan for reinforcing equipment; the status of training for preparing assistance dispatch; and activity results in order to provide basic information to prepare large scale disasters and establish coping policies in Korea.

scholarly journals Stable Directing System for Cross Layer Dependability for Ultra Large Scale Framework

2019 ◽  
Vol 8 (2S8) ◽  
pp. 814-817
Keyword(s):  
Large Scale ◽  
Physical Layer ◽  
Ultra Wideband ◽  
Cross Layer ◽  
State Data ◽  
Neighborhood Information ◽  
On Demand ◽  
Open Path ◽  
Signal Characteristics ◽  
Uwb Radio

Ultra wideband (UWB) radio is ascending as an attracting physical layer for adaptable uncommonly picked structure (MANET). Overseeing in MANET is a test inferable from the dynamic thought of framework topology and resource blocks. A steady arranging structure is proposed for UWB sort out in this paper, focusing on the flimsiness issue got from correspondence foggy zone. This instrument is a cross-layer change of outstandingly doled out on-demand vector (AODV) controlling custom, which is named as CLS_AODV. The guiding disclosure computation is connected by displaying source coordinating and exceptionally selected on-ask for multipath expels vector coordinating. A preparing model is developed to portray signal characteristics into interface constancy factor and course soundness factor which fills in as a coordinating metric for way decision. Rather than the open path in AODV, the got sign quality can be utilized to uncover the affiliation state data for shady zone want, and for course state viewing. A HELLO-based preemptive neighborhood course fix estimation is familiar with keep the event of affiliation breakage. Welcome message is broadened not only for neighbor perceiving and neighborhood information exchanging, yet moreover as an ON/OFF charge to control the position territory structure and HELLO plan of neighbor centers. The multiplication happens show the movements of CLS_AODV to the degree bundle occurrence degree and run of the mill start to finish yield without trading off the throughput execution separated and AODV

scholarly journals DESIGN OF LARGE SCALE ON-DEMAND IRRIGATION SYSTEM IN THE AGRICULTURAL AREA OF CORATO, APULIA, ITALY

2018 ◽  
Vol 64 (4) ◽  
Author(s):  
Marija MARKOC ◽  
Milica COLOVIC ◽  
Gamal Abd Elnasser ALLAM ◽  
Shawkat BASEL ◽  
Qotada AL-ALI
Keyword(s):  
Large Scale ◽  
Irrigation System ◽  
Agricultural Area ◽  
On Demand
Sign in / Sign up

Export Citation Format

Share Document