ISSN : 1796-217X
Volume : 2    Issue : 6    Date : December 2007

Influence Control for Dynamic Reconfiguration of Data Flow Systems
Wei Li and Zhikun Zhao
Page(s): 1-13
Full Text:
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Influence control is a very challenging issue in dynamic reconfiguration and still not well addressed
in the literature. This paper argues that dynamic reconfiguration influences system execution in four
ways: functional update, functional side-effect, logical influence on performance and physical
influence on performance. Methods including version control, transaction tracing, switching
reconfiguration plan, and reconfiguration scheduling have been proposed for controlling the
influence. These methods are integrated into the Reconfigurable Data Flow (RDF) model, which is
designed to support the dynamic reconfiguration of stateless data flow systems. The RDF platform
is an implementation of the RDF model on Java platform. The RDF platform is implemented as an
open frame for different reconfiguration planning algorithms and scheduling policies to be
simulated and their influence to be quantitatively compared on a single platform. Using the Data
Encryption and Digital Signature System as a case study, tests have been done on the RDF
platform to examine the influence of different reconfiguration planning algorithms and scheduling
policies. Experimental results show that the methods proposed in this paper is effective in
controlling the influence of dynamic reconfigurations.

Index Terms
dynamic reconfiguration, influence control, data flow