Reliable on-demand management operations for large-scale distributed applications

2007 ◽  
Vol 41 (5) ◽  
pp. 82-88 ◽  
Author(s):  
Jin Liang ◽  
Indranil Gupta ◽  
Klara Nahrstedt
Keyword(s):  
Large Scale ◽  
Demand Management ◽  
Distributed Applications ◽  
On Demand

Using events to build large scale distributed applications

1996 ◽  
Author(s):  
Richard Hayton ◽  
Jean Bacon ◽  
John Bates ◽  
Ken Moody
Keyword(s):  
Large Scale ◽  
Distributed Applications

Exploratory Evaluation of a Concept Combining Incentivized On-Demand Ridesharing with Congestion Pricing

2021 ◽  
pp. 036119812110116
Author(s):  
Patrick DeCorla-Souza
Keyword(s):  
Demand Management ◽  
Congestion Pricing ◽  
Economic Benefits ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Transportation Funding ◽  
On Demand ◽  
Federal Highway ◽  
Planning Tools ◽  
Management Concept

This paper presents an innovative transportation demand management concept involving congestion pricing synergistically combined with incentivized on-demand ridesharing. An exploratory evaluation of the concept was undertaken using sketch-planning tools developed by the Federal Highway Administration. The analysis suggests that the concept could be financially viable, achieve significant economic benefits, and potentially generate surplus revenues that could be sufficient to address transportation funding gaps.

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 Next Generation Middleware Technology for Mobile Computing

2011 ◽  
pp. 74-80
Author(s):  
B. Darsana ◽  
Karabi Konar
Keyword(s):  
Mobile Computing ◽  
Large Scale ◽  
Network Connectivity ◽  
Distributed Applications ◽  
Mobile Systems ◽  
Portable Devices ◽  
Next Generation ◽  
Mobile Middleware ◽  
Mobile Computing Environment ◽  
Middleware Technology

Current advances in portable devices, wireless technologies, and distributed systems have created a mobile computing environment that is characterized by a large scale of dynamism. Diversities in network connectivity, platform capability, and resource availability can significantly affect the application performance. Traditional middleware systems are not prepared to offer proper support for addressing the dynamic aspects of mobile systems. Modern distributed applications need a middleware that is capable of adapting to environment changes and that supports the required level of quality of service. This paper represents the experience of several research projects related to next generation middleware systems. We first indicate the major challenges in mobile computing systems and try to identify the main requirements for mobile middleware systems. The different categories of mobile middleware technologies are reviewed and their strength and weakness are analyzed.

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