Affiliations: System and Network Engineering research group, Informatics Institute, University of Amsterdam, Amsterdam, the Netherlands | [w] Systems Research Institute, Polish Academy of Sciences, Warsaw and University of Gdansk, Warsaw, Poland | [x] Systems Research Institute, Polish Academy of Sciences, Warsaw and Management Academy, Warsaw, Poland | [y] Software Engineering Department, Faculty of Automatics, Computers and Electronics, University of Craiova, Bvd.Decebal, Craiova, Romania | [z] University of Duisburg-Essen, Institute for Computer Science and Business Information Systems (ICB), Practical Computer Science, Data Management Systems and Knowledge Representation, Essen, Germany
Correspondence:
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Corresponding author: System and Network Engineering research group, Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, the Netherlands. E-mail: Z.Zhao@uva.nl
Abstract: Many scientific workflow applications are driven by simulation generated data, or data collected from sensors or instruments, and the processing of the data is commonly done at a different location from where the data is stored. Moving large quantities of data among different locations is thus a frequently invoked process in scientific workflow applications. These data transfers often have high quality requirements on the network services, especially when the application requires steering from human interaction. Advanced networks such as hybrid networks make it feasible for high level applications to request network paths and service provisioning. However, current workflow applications tune the execution quality neglecting network resources, and by selecting only optimal software services and computing resources. Including network services in the resource scheduling adds an extra dimension for workflow applications to optimize the runtime performance. In this paper we present a system called NEtwork aware Workflow QoS Planner (NEWQoSPlanner) to complement existing workflow systems on selecting network resources in the context of workflow composition, scheduling and execution when advanced network services are available.
Keywords: Workflow systems, advanced network, multi agent system
