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State-of-the-Art Research in Cloud Computing and Green IT by Gregor von Laszewski

Gregor von Laszewski, a leading researcher, conducts cutting-edge work in Cloud Computing and Green IT at Indiana University as part of the Future Grid project. He has a rich background spanning institutions like Argonne National Laboratory and the University of Chicago, focusing on areas such as Grid computing, GPGPUs, and usability of Grids. With extensive experience and contributions in the field, he emphasizes on-demand cyberinfrastructures provision and personalized computing environments.

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State-of-the-Art Research in Cloud Computing and Green IT by Gregor von Laszewski

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  1. Bio • Gregor von Laszewski is conducting state-of-the-art work in Cloud computing and GreenIT at Indiana University as part of the Future Grid project. During a 2 year leave of absence from Argonne National Laboratoryhe was an associate Professor at Rochester Institute of Technology (RIT). He worked between 1996 and 2007 for Argonne National Laboratory and as a fellow at University of Chicago. • He is involved in Grid computing since the term was coined. Current research interests are in the areas of GreenIT, Grid & Cloud computing, and GPGPUs. He is best known for his efforts in making Grids usable and initiating the Java Commodity Grid Kit which provides a basis for many Grid related projects including the Globus toolkit (http://www.cogkits.org). His Web page is located at http://cyberaide.org • Recently worked on FutureGrid, http://futuregird.org • Masters Degree in 1990 from the University of Bonn, Germany • Ph.D. in 1996 from Syracuse University in computer science.

  2. Cyberaide Creative: On-Demand Cyberinfrastructure Provision in Clouds Casey Rathbone, Lizhe Wang, Gregor von Laszewski, Fugang Wang

  3. Outline • Background and related work • Problem definition • System design • Prototype performance results • Current progress • FutureGrid • Conclusion Gregor von Laszewski, laszewski@gmail.com

  4. Why are we dong it? Past Now Gregor von Laszewski, laszewski@gmail.com

  5. Grid/Cloud Computing • Effective computing paradigm for distributed high performance computing applications • A number of production Grid infrastructures, projects, applications: • TeraGrid, EGEE, WLCG, FutureGrid, D-Grid … • Disadvantages of current production Grids: • Overloaded Grid middleware • Complicated access interfaces and policies • Limited QoS support • No personalized computing environment provision Gregor von Laszewski, laszewski@gmail.com

  6. Grid/Cloud Computing Features: • On demand service provision • Utility computing model: pay-as-you-go • Customized computing environment provision • Automatic and autonomous service management • User centric interfaces with broad network access • Scalable services with resource pooling …… Gregor von Laszewski, laszewski@gmail.com

  7. Cyberaide • An open source project • Originally created at Argonne Nat. Lab. • Now Indiana University • Some students from RIT • PI: Dr. von Laszewski • A middleware for Cyberinfrastructure • Including Grids and Clouds • Cyberaide virtual appliance • Cyberaide shell • Cyberaide mediator, cyberaide server • Cyberadie creative Gregor von Laszewski, laszewski@gmail.com

  8. Cyberaideshell, mediator and server Gregor von Laszewski, laszewski@gmail.com

  9. Motivation: Cyberaide Creative • Todays heterogeneous network architectures require teams of IT specialists to effectively deploy services. Decreasing accessibility to computing resources. • Cyberaide Creative addresses this issue by providing a platform for individuals to utilize resources without needing intimate knowledge of the hardware platform. Gregor von Laszewski, laszewski@gmail.com

  10. Research Topic • Increasing accessibility to computing resources with on-demand deployment on virtualized hardware resources. • Effectively abstracting the end-user from configuring specifications for each system Gregor von Laszewski, laszewski@gmail.com

  11. System Design Gregor von Laszewski, laszewski@gmail.com

  12. Use Case • End-user configures a virtual appliance image with the web interface • Cyberaide Creative builds and stores the virtual appliance • End-user then has the capability to deploy instances of the virtual appliance onto Cloud resources Gregor von Laszewski, laszewski@gmail.com

  13. Virtual Cluster Deployment Gregor von Laszewski, laszewski@gmail.com

  14. Cyberaide Gridshell Deployment Gregor von Laszewski, laszewski@gmail.com

  15. Single Workstation Deployment Gregor von Laszewski, laszewski@gmail.com

  16. Virtual Machine Linpack Performance Results Demonstrates that there is performance sacrifice for virtual deployments. Gregor von Laszewski, laszewski@gmail.com

  17. On demand access Cyberinfrastructures • Now users can on-demand build desired cyberinfrastructures, for example production Grid environments. • Then how to access them? • Interfaces of Production Grids are strictly defined: • Resource information • Security • Job submission and management • Access resources of production Grid • from ad-hoc clients • without special client software & Grid expertise • on-demand access at runtime Gregor von Laszewski, laszewski@gmail.com

  18. Cyberaide Virtual Appliance: overview • Cyberaide Virtual Appliance • Put cyberadie shell, mediator and server into a virtual machine, • On demand deploy cyberaide virtual appliance to access production Grid • User can access production Grid via cyberaide virtual appliance • Advantages • Cyberaide virtual appliance can be dynamically deployed with policy customization, like user account, access URI, .. • Multiple users can share a cyberaide virtual appliance, then build a VO • A cyberaide virtual appliance can be managed easily, for example, start, shutdown, migration, duplication, .. Gregor von Laszewski, laszewski@gmail.com

  19. Cyberaide virtual appliance: Solutions Vmware Studio vs. JeOS VMBuilder JeOS VMBuilder is selected Gregor von Laszewski, laszewski@gmail.com

  20. Cyberaide virtual appliance: Implementation • Four configuration files for Boot and Login: • A basic configuration file that allows to define some basic parameters such as: platform type (i386), amount of memory of the virtual appliance, packages that should be directly installed, etc. • A hard-disk configuration file that defines the size of each available (virtual) hard-disk and the number and size of all the partitions that will be created on these hard-disks. • Boot.sh: Shell script that will be executed during the first boot of the new appliance. • Login.sh: Shell script that will be executed after the first logon in the new appliance. • One script is for adapting the VMbuilder configuration files • One script is for transferring the appliance to the target host and starting it on the specified hypervisor. Gregor von Laszewski, laszewski@gmail.com

  21. Cyberaide Virtual Appliance:Build process Gregor von Laszewski, laszewski@gmail.com

  22. Test result:Web portal on TeraGrid Gregor von Laszewski, laszewski@gmail.com

  23. Test result: performance evaluation on TeraGrid Gregor von Laszewski, laszewski@gmail.com

  24. Our work on Cloud computing • Cyberaide virtual appliance (CloudComp’09) • Cyberaide creative (GridCAT’09) • Cyberaide onServe (submitted) • On-demand ESD (accepted as a book chapter) • e-Molst (accepted by CCPE) Gregor von Laszewski, laszewski@gmail.com

  25. FutureGrid • The goal of FutureGrid is to support the research that will invent the future of distributed, grid, and cloud computing. • FutureGrid will build a robustly managed simulation environment or testbed to support the development and early use in science of new technologies at all levels of the software stack: from networking to middleware to scientific applications. • The environment will mimic TeraGrid and/or general parallel and distributed systems • This test-bed will enable dramatic advances in science and engineering through collaborative evolution of science applications and related software. Gregor von Laszewski, laszewski@gmail.com

  26. FutureGrid Partners • Indiana University • Purdue University • University of Florida • University of Virginia • University of Chicago/Argonne National Labs • University of Texas at Austin/Texas Advanced Computing Center • San Diego Supercomputer Center at University of California San Diego • University of Southern California Information Sciences Institute, University of Tennessee Knoxville • Center for Information Services and GWT-TUD from Technische Universtität Dresden. Gregor von Laszewski, laszewski@gmail.com

  27. FutureGrid Hardware Gregor von Laszewski, laszewski@gmail.com

  28. FutureGrid Architecture Gregor von Laszewski, laszewski@gmail.com

  29. FutureGrid Architecture • Open Architecture allows to configure resources based on images • Shared images allows to create similar experiment environments • Experiment management allows management of reproducible activities • Through our “stratosphere” design we allow different clouds and images to be “rained” upon hardware. Gregor von Laszewski, laszewski@gmail.com

  30. FutureGrid Usage Scenarios • Developers of end-user applications who want to develop new applications in cloud or grid environments, including analogs of commercial cloud environments such as Amazon or Google. • Is a Science Cloud for me? • Developers of end-user applications who want to experiment with multiple hardware environments. • Grid middleware developers who want to evaluate new versions of middleware or new systems. • Networking researchers who want to test and compare different networking solutions in support of grid and cloud applications and middleware. (Some types of networking research will likely best be done via through the GENI program.) • Interest in performance requires that bare metal important Gregor von Laszewski, laszewski@gmail.com

  31. Selected FutureGrid Timeline • October 1 2009 Project Starts • November 16-19 SC09 Demo/F2F Committee Meetings • March 2010 FutureGrid network complete • March 2010 FutureGrid Annual Meeting • September 2010 All hardware (except Track IIC lookalike) accepted • October 1 2011 FutureGrid allocatable via TeraGrid process – first two years by user/science board led by Andrew Grimshaw Gregor von Laszewski, laszewski@gmail.com

  32. Cyberaide: a lightweight middleware for Clusters, Grids and Clouds • http://cyberaide.org • Cyberaide creative: • on-demand build cyberinfrastructures • Cyberaide virtual appliance: • on demand deploy middelware to access cyberinfrastructures • FutureGrid: http://futuregrid.org Gregor von Laszewski, laszewski@gmail.com

  33. Future work Cyberaide: a lightweight middleware for Clusters, Grids and Clouds http://cyberaide.org Cyberaide creative: on-demand build cyberinfrastructures Cyberaide virtual appliance: on demand deploy middelware to access cyberinfrastructures Gregor von Laszewski, laszewski@gmail.com

  34. Acknowledgement • Work conducted by Gregor von Laszewski is supported (in part) by NSF CMMI 0540076 and NSF SDCI NMI 0721656. • FutureGrid Is supported by NSF grant #0910812 - FutureGrid: • An Experimental, High-Performance Grid Test-bed. Gregor von Laszewski, laszewski@gmail.com

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