An Efficiency Optimization Strategy for Huge-Scale Data Handling

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 125)

Abstract

This paper discussed the efficiency optimization of handling huge scale data and analyzed the relationship of the factors and the efficiency. The cost of the whole access procedure has been analyzed as well. It proposed overhead shifting strategy to optimize the performance of handling these problems. The main idea of this overhead shifting method is to reduce the critical factor—communication overhead. It shifts the logic process code to the client. This strategy deals with the dirty data, which is the result of itself, are by implement a state notification protocol. The protocol notifies the client whether its data becomes dirty so that the client can easily decide how to behave. An experiment was done to prove the superiority of the new strategy. The results showed that this overhead shifting strategy improves most accesses and operations and makes the user experience being satisfied.

Keywords

Time Cost Communication Overhead Enterprise Resource Planning Access Procedure Line Chart 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Wikipedia, the free encyclopedia, Enterprise resource planning (2010), http://en.wikipedia.org/wiki/Enterprise_resource_planning
  2. 2.
    Jain, P.K., Hutchinson, N.C., Chanson, S.T.: Protocol architectures for delivering application specific quality of service, pp. 313–320. IEEE (1995)Google Scholar
  3. 3.
    Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to algorithms, 2nd edn. The Massachusetts Institute of Technology Press (2002)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Computer Engineering and ScienceShanghai UniversityShanghaiChina
  2. 2.Computing Center of Shanghai UniversityShanghai UniversityShanghaiChina

Personalised recommendations