Automating dynamic reconfiguration for non-stop dataflow systems

In this paper, we firstly review the concerned issues on dynamic reconfiguration of non-stop dataflow systems with QoS requirement and what the related work have been done on these issues. Then we present our research by focusing on reconfiguration automation – automated reconfiguration planning and automated execution scheduling with taking the concerned issues on board. Significantly the automated planning removes the reliance of reconfiguration correctness on change administrators. Structures, such as Version-Visibility, Restrict-Segment and Route-Map, along with planning and scheduling algorithms, are proposed in this paper as the fundamentals to automate reconfiguration for maintaining the system’s QoS and preserving the application integrity. All the proposed structures and algorithms have been fully implemented as an architectural meta-model called the RDF (Reconfigurable Dataflow) model. In this paper a dataflow system: the DEDSS (Data Encryption & Digital Signature System) is studied as a typical case on the RDF to demonstrate the effectiveness of our approaches to automating seamless and QoS-ensured reconfiguration of non-stop dataflow systems

Automating dynamic reconfiguration for non-stop dataflow systems

In this paper, we firstly review the concerned issues on dynamic reconfiguration of non-stop dataflow systems with QoS requirement and what the related work have been done on these issues. Then we present our research by focusing on reconfiguration automation – automated reconfiguration planning and automated execution scheduling with taking the concerned issues on board. Significantly the automated planning removes the reliance of reconfiguration correctness on change administrators. Structures, such as Version-Visibility, Restrict-Segment and Route-Map, along with planning and scheduling algorithms, are proposed in this paper as the fundamentals to automate reconfiguration for maintaining the system’s QoS and preserving the application integrity. All the proposed structures and algorithms have been fully implemented as an architectural meta-model called the RDF (Reconfigurable Dataflow) model. In this paper a dataflow system: the DEDSS (Data Encryption & Digital Signature System) is studied as a typical case on the RDF to demonstrate the effectiveness of our approaches to automating seamless and QoS-ensured reconfiguration of non-stop dataflow systems