scholarly journals Operations on an on-demand ride service system with express and limousine

2022 ◽  
Vol 155 ◽  
pp. 348-373
Author(s):  
Jing-Peng Wang ◽  
Hai-Jun Huang
Keyword(s):  
Service System ◽  
On Demand

scholarly journals Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Mihui Kim ◽  
Mihir Asthana ◽  
Siddhartha Bhargava ◽  
Kartik Krishnan Iyyer ◽  
Rohan Tangadpalliwar ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Service System ◽  
Value Added ◽  
Computing System ◽  
Sensor Data ◽  
Dynamic Provisioning ◽  
On Demand ◽  
Cloud Computing System ◽  
Iot Devices

The increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. However, the industry encounters various challenges in the dynamic provisioning of on-demand CSaaS on diverse sensor networks. We require a system that will provide users with standardized access to various sensor networks and a level of abstraction that hides the underlying complexity. In this study, we aim to develop a cloud-based solution to address the challenges mentioned earlier. Our solution, SenseCloud, includes asensor virtualizationmechanism that interfaces with diverse sensor networks, amultitenancymechanism that grants multiple users access to virtualized sensor networks while sharing the same underlying infrastructure, and adynamic provisioningmechanism to allow the users to leverage the vast pool of resources on demand and on a pay-per-use basis. We implement a prototype of SenseCloud by using real sensors and verify the feasibility of our system and its performance. SenseCloud bridges the gap between sensor providers and sensor data consumers who wish to utilize sensor data.

Web Application Based On Demand Home Service System

2020 ◽  
Author(s):  
K. Aravindhan ◽  
K. Periyakaruppan ◽  
T.S. Anusa ◽  
S. Kousika ◽  
A. Lakshmi Priya
Keyword(s):  
Web Application ◽  
Service System ◽  
On Demand ◽  
Home Service

IT on demand - towards an environmental conscious service system for Vienna (AT)

2003 ◽  
Author(s):  
Brandstotter ◽  
Haberl ◽  
Knoth ◽  
Kopacek ◽  
Kopacek
Keyword(s):  
Service System ◽  
On Demand

Event-Driven SOA Based District Heating Service System with Complex Event Processing Capability

2014 ◽  
Vol 11 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Xiuquan Qiao ◽  
Budan Wu ◽  
Yulong Liu ◽  
Zhao Xue ◽  
Junliang Chen
Keyword(s):  
Real Time ◽  
Service System ◽  
District Heating ◽  
Heating System ◽  
Complex Event Processing ◽  
Event Processing ◽  
District Heating System ◽  
Processing Capability ◽  
On Demand ◽  
Event Driven

With the management refinement of heating supply, the district heating system deploys a large number of meters or sensors to monitor and control the operating status of the heating network. It often needs to process real-time streaming data and coordinate the related enterprise business systems to make low-latency, intelligent decisions on the changes of heating network in time. Therefore, the automatic collection, on-demand dissemination and fusion of real-time sensing data play an increasingly important role in district heating systems. This article proposed an event-driven SOA based district heating system architecture with complex event processing capability, which can easily support the on-demand dissemination and aggregation of monitoring information and realize the event-driven service coordination cross different service domains. Finally, a deployed District Heating Control and Information Service System (DHCISS) in Beijing validates the effectiveness of our approach.

The Design of Intelligent Service System in the Power Supply Enterprises Based on SOA

2013 ◽  
Vol 411-414 ◽  
pp. 2027-2030
Author(s):  
Qing Hui Dai ◽  
Rui Hong Zhang
Keyword(s):  
Expert System ◽  
Power Supply ◽  
Service System ◽  
Frame Structure ◽  
Basic Design ◽  
Design Goal ◽  
On Demand ◽  
Intelligence Services ◽  
Design Idea ◽  
Intelligence Service

In power supply enterprises, providing intelligent service for the residential users is a very crucial approach to increase the customer satisfaction. Taking the demand of residential users as the center, analyze the basic design goal of the intelligence service system and the functions of four subsystems. This paper apply the SOA design idea in building the frame structure of the intelligent service system in power supply enterprises, and the content of every layer in this frame structure is introduced. Then the safe electricity utilization expert system, which belongs to a newly built service, is given an explanation on. Through this intelligent service system, it is convenient for the power supply enterprises to provide users with accurate, efficient, on-demand, proactive and security intelligence services. The application of SOA design idea can make more efficient use of the existing resources and also can make the system have good extensibility, to lay a foundation for the future development of intelligence service in the power supply enterprises.

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