Experiment Management with Microsoft Project Gregor von Laszewski Leor E. Dilmanian Link to presentation on wiki 12:13:33Service Oriented Cyberinfrastructure Lab,

Outline Background Introduction Cyberaide E-Science Requirements Microsoft Project Grid Manager Conclusion References Acknowledgements 12:13:33Service Oriented Cyberinfrastructure Lab,

Background E-Science is computationally or data intensive science, carried out in a distributed computing environment. Cyberinfrastructure is a research environment supporting advanced data acquisition and information processing services over the internet. Experiment Management is the management of a large number of experiments over Cyberinfrastructure 12:13:333Service Oriented Cyberinfrastructure Lab,

Introduction There is a high entry barrier into Grid computing. Experiment Management on the Grid or Cyberinfrastructure is a complicated affair. Issues include: –Application Design –Scheduling of Large Scale Resources –Orchestration of Activity –Monitoring Execution and Quality of Service –Data Acquisition 12:13:334Service Oriented Cyberinfrastructure Lab,

Cyberaide is a framework used to simplify Cyberinfrastructure development. 12:13:335Service Oriented Cyberinfrastructure Lab,

Microsoft Project Is used for planning a project. Workflow – a set of operations which contain the following: –Task – a unit of work. –Dependency – among two tasks, used to specify ordering. –Resource – people or machines used to carry out work. –Assignment /Mapping – of resources to tasks, to execute the workflow. 12:13:336Service Oriented Cyberinfrastructure Lab,

Microsoft Project Microsoft Project is used to by project managers to manage resources and tasks. Shown above: a Finance and Accounting System Implementation project. 12:13:33Service Oriented Cyberinfrastructure Lab,

E-Science Requirements Focus on Science –Well known, familiar user interface –Easy to Navigate –Effectively manage large volumes of information –Advanced features: Time based workflows with soft deadlines. Calendar & resource views, toolbars, forms & graphical indicators… Integrated User Experience –Design Easily specify a distributed application. –Execution Seamless scheduling and execution on the Grid. –Monitoring Progress & Quality of Service. 12:13:33Service Oriented Cyberinfrastructure Lab,

Cyberaide Grid Manager Cyberaide contains a prototype called Grid Manager. –It uses the Microsoft Project software package as an elementary component. –Based on the methodology of project management software. –It is used to… Design a high level application. Execute the workflow on the Grid. Track progress and Quality of Service during execution. 12:13:33Service Oriented Cyberinfrastructure Lab,

Cyberaide Grid Manager 12:13:33Service Oriented Cyberinfrastructure Lab, Microsoft Project Console WindowProxy Initialization Manage Workflow Task Table Gantt Chart / Track Workflow

12:13:33Service Oriented Cyberinfrastructure Lab, Conclusion Workflows can be used to design applications in e-Science Cyberaide Grid Manager simplifies the process of developing, executing and monitoring workflows for the Grid Simplicity and user friendliness are the major considerations Spend less time learning software, and more time making discovery

12:13:33Service Oriented Cyberinfrastructure Lab, References [1] G. von Laszewski and L. E. Dilmanian, “e-Science Project and Experiment Management with Microsoft Project," Rochester Institute of Technology, Rochester, NY 14623, [Online]. Available: [2] G. von Laszewski and M. Hategan, “Grid Workflow - An Integrated Approach,” in Technical Report., Argonne National Laboratory, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60440, [Online]. Available: [3] I. Taylor, E. Deelman, D. Gannon, and M. Shields, Eds., Workflows for e-Science: Scientific Workflows for Grids. Springer, 2007, iSBN: [4] J. Frey, T. Tannenbaum, I. Foster et al., “Condor-G: A Computation Management Agent for Multi-Institutional Grids,” Proceedings of the Tenth IEEE Symposium on High Performance Distributed Computing (HPDC10), [5] G. von Laszewski, J. Gawor, P. Lane, N. Rehn, M. Russell, and K. Jackson, “Features of the Java Commodity Grid Kit,” Concurrency and Computation: Practice and Experience, vol. 14, pp. 1045–1055, [Online]. Available: [6] G. von Laszewski, B. Ruscic, K. Amin, P. Wagstrom, S. Krishnan, and S. Nijsure, “A Framework for Building Scientific Knowledge Grids Applied to Thermochemical Tables,” The International Journal of High Performance Computing Applications, vol. 17, no. 4, pp. 431–447, Winter [Online]. Available: [7] “Grid Workflow :: Workflow Composition Tools,” Web Page. [Online]. Available: [8] G. von Laszewski, “Java CoG Kit Workflow Concepts,” Journal of Grid Computing, Jan. 2006, [Online]. Available: workflow-taylor-anl.pdfhttp:// workflow-taylor-anl.pdf [9] G. von Laszewski, A. J. Younge, X. He, and F. Wang, “GridShell: Interactive Task Management for Grid and Cluster Computing,” (submitted for review), Sep