DocumentCode
2263095
Title
Short Paper: Performance evaluation on distributed data process in M2M systems
Author
Katoh, Masafumi ; Sato, Izuru ; Fukuda, Ken-ichi
Author_Institution
FUJITSU Labs. Ltd., Kawasaki, Japan
fYear
2015
fDate
17-19 Feb. 2015
Firstpage
157
Lastpage
159
Abstract
We show that distributed data processing for M2M applications improves the performance of M2M systems. The important roles of the M2M systems are to associate an application with required data and to execute the application on suitable processing entities for coming ubiquitous environment. First, we show simple rules on deployment of data process to reduce load in underlying M2M network. Next, we clarify cases such that an application should be divided into subroutines for distributed executions. And so, we model centralized and distributed execution as multi-stage queuing system to show the improvement by the distributed execution.
Keywords
performance evaluation; queueing theory; M2M system; centralized execution; distributed data processing; distributed execution; machine to machine network; multistage queuing system; performance evaluation; ubiquitous environment; Algorithms; Data models; Data processing; Distributed databases; Load modeling; Next generation networking; Topology; M2M; distributed data process; queuing model;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence in Next Generation Networks (ICIN), 2015 18th International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIN.2015.7073826
Filename
7073826
Link To Document