Title :
Adjacent Matrix Based Deduction for Grid Workflow Applications
Author :
Zhang, Fan ; Cao, Junwei ; Lianchen Lu ; Wu, Cheng
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
This paper presents an adjacent matrix based method for verifying and analyzing large scale workflows, which is used to find our three basic prosperities: sequential, parallel and simple mixing. Any workflow with the three characteristics can be grouped and deducted into smaller and even easier workflow. This reduction can also be used to figure out branches in complicated connected workflows. We exemplify our method using a real scientific workflow in our previous work. The analysis of reduced workflow can further facilitate the verification and validating process.
Keywords :
formal verification; grid computing; matrix algebra; scientific information systems; workflow management software; adjacent matrix based deduction; grid workflow application; large scale workflow; validating process; verification process; Data analysis; Data visualization; Detectors; Indexing; Matrix decomposition; Nickel; Adjacent matrix; graph deduction; scientific workflow;
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2010 First International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8382-2
DOI :
10.1109/ICNDC.2010.74