Autonomous synchronization technology for achieving real time property in service oriented community system

Author(s):  
N. Kaji ◽  
K. Ragab ◽  
T. Ono ◽  
K. Mori
2012 ◽  
Vol 92 (4) ◽  
pp. 63-78
Author(s):  
Dubravka Sladic ◽  
Milan Vrtunski ◽  
Ivan Alargic ◽  
Aleksandra Ristic ◽  
Dusan Petrovacki

The paper presents the implementation of geoportal for landslide monitoring which which includes two subsystems: a system for acquisition, storage and distribution of data on landslides and real time alert system. System for acquisition, storage and distribution of data on landslides include raster and vector spatial data on landslides affected areas, as well as metadata. Alert system in real time is associated with a sensor for detecting displacement, which performs constant measurements and signals in case of exceeding the reference value. The system was developed in accordance with the standards in the field of GIS: ISO 19100 series of standards and OpenGIS Consortium and is based on service-oriented architecture and principles of spatial data infrastructures.


Author(s):  
M.J. Bárcena ◽  
P. Menéndez ◽  
M.B. Palacios ◽  
F. Tusell

Author(s):  
Randall E. Duran ◽  
Anh Duc Do

System architectures that deliver real-time services to customers must be flexible, scalable, and support a wide range of communication channels. This chapter presents an architecture that was designed to support multiple delivery channels and was successfully used to implement mobile banking services. The considerations behind the design and the approach used to deliver SMS-based mobile services using service-oriented architecture principles are reviewed and some of the practical challenges that were encountered with the implementation are explored. The ability for this solution architecture to support other real-time service channels is also examined.


Author(s):  
Sai Narasimhamurthy ◽  
Malcolm Muggeridge ◽  
Stefan Waldschmidt ◽  
Fabio Checconi ◽  
Tommaso Cucinotta

The service oriented infrastructures for real-time applications (“real-time clouds1”) pose certain unique challenges for the data storage subsystem, which indeed is the “last mile” for all data accesses. Data storage subsystems typically used in regular enterprise environments have many limitations which impedes direct applicability for such clouds, particularly in their ability to provide Quality of Service (QoS) for applications. Provision of QoS within storage is possible through a deeper understanding of the behaviour of the storage system under a variety of conditions dictated by the application and the network infrastructure. We intend to arrive at a QoS mechanism for data storage keeping in view the important parameters that come into play for the storage subsystem in a soft real-time cloud environment.


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