Paper Info
Title
Dynamic Profiling for Efficiency Searching System in Distributed Computing
Abstract
RFID technology that identifies objects on request of dynamic linking and tracking is composed of application components supporting information infrastructure. Despite their many advantages, existing applications, which do not consider elements related to real-time data communication among remote devices, cannot support connections among heterogeneous devices effectively. As different network devices are installed in applications separately and go through different query analysis processes, there happen the delays of monitoring or errors in data conversion. This paper proposes recommendation service that can update and reflect personalized profiles dynamically in Distributed Computing environment for integrated management of information extracted from RFID tags regardless of application. The advanced personalized module helps the service recommendation server make regular synchronization with the personalized profile. The proposed system can speed and easily extend the matching of services to user profiles and matching between user profiles or between services. Finally dynamic profiling help to reduce the development investment, improve the system's reliability, make progress in the standardization of real-time data processing in matching searching system.
Year
DOI
Venue
2010
10.1007/978-3-642-17569-5_51
Lecture Notes in Computer Science
Keywords
Field
DocType
Profiling,Searching System,Distributed Computing
Autonomic computing,Distributed Computing Environment,Profiling (computer programming),Computer science,Networking hardware,Distributed design patterns,Distributed algorithm,Utility computing,Distributed concurrency control,Distributed computing
Conference
Volume
ISSN
Citations 
6485
0302-9743
0
PageRank 
References 
Authors
0.34
5
5
Name
Order
Citations
PageRank
Chang-Woo Song1648.85
Tae-Gan Kim200.34
Kyung-Yong Chung3115480.87
Kee-Wook Rim415424.20
Jung-Hyun Lee518823.59