July 21, 2005AESE 20051 Fast Hybrid Simulation with Geographically Distributed Substructures Gilberto Mosqueda Boza Stojadinovic Jason P. Hanley (Presenter)

Slides:



Advertisements
Similar presentations
An Overview of ABFT in cloud computing
Advertisements

Structural Dynamics Laboratory Department of Engineering Science, University of Oxford First European Conference on Earthquake Engineering and Seismology,
Hybrid Simulation with On-line Updating of Numerical Model Based on Measured Experimental Behavior M. Javad Hashemi, Armin Masroor, and Gilberto Mosqueda.
Hybrid simulation evaluation of the suspended zipper braced frame Tony Yang Post-doctoral scholar University of California, Berkeley Acknowledgements:
Presentation. Contemporary Communication Fast – connects us quickly without delays Reliable – works always Global – connects us with the whole world Low.
Distributed Systems Major Design Issues Presented by: Christopher Hector CS8320 – Advanced Operating Systems Spring 2007 – Section 2.6 Presentation Dr.
System Area Network Abhiram Shandilya 12/06/01. Overview Introduction to System Area Networks SAN Design and Examples SAN Applications.
10/04/2001 Associate Professor CS Department University of Valenciennes France Dr. Dhavy Gantsou.
Bozidar Stojadinovic Gilberto Mosqueda UC Berkeley NEES FAST-MOST.
ADVANCED DYNAMIC TESTING TECHNIQUES IN STRUCTURAL ENGINEERING by Andrei M Reinhorn Xiaoyun Shao CIE 616 FALL 2004.
U NIVERSITY OF M ASSACHUSETTS, A MHERST Department of Computer Science Emery Berger University of Massachusetts Amherst Operating Systems CMPSCI 377 Lecture.
Chapter 19: Network Management Business Data Communications, 4e.
By Aaron Thomas. Quick Network Protocol Intro. Layers 1- 3 of the 7 layer OSI Open System Interconnection Reference Model  Layer 1 Physical Transmission.
GridFlow: Workflow Management for Grid Computing Kavita Shinde.
NEESGrid: Early Experiences in CyberInfrastructure Charles Severance University of Michigan Sakai Project, NEESGrid Project, OGCE Project
Scalable Application Layer Multicast Suman Banerjee Bobby Bhattacharjee Christopher Kommareddy ACM SIGCOMM Computer Communication Review, Proceedings of.
1 ITC242 – Introduction to Data Communications Week 12 Topic 18 Chapter 19 Network Management.
1 Soft Timers: Efficient Microsecond Software Timer Support For Network Processing Mohit Aron and Peter Druschel Rice University Presented By Jonathan.
UC Berkeley Reconfigurable Reaction Wall NEES Equipment Site NSF NEES Awardees Meeting Video-Teleconference.
9/28/01Colorado-NEES1 Fast Hybrid Test Platform for Seismic Performance Evaluation of Structural Systems P.I.s: P. Benson Shing Enrico Spacone University.
NEESGrid - A Collaborative Portal Study Charles Severance University of Michigan NEESGrid SI Team
Feb. 19, 2008 CU-NEES 2008 FHT Workshop Simulation and Control Aspects of FHT M. V. Sivaselvan CO-PI CU-NEES Assistant Professor Dept. of Civil, Environmental.
Research on cloud computing application in the peer-to-peer based video-on-demand systems Speaker : 吳靖緯 MA0G rd International Workshop.
Quake Summit 2012 July 9-12, 2012, Boston
Distributed Online Hybrid Test to Trace the Collapse of a Four-Story Steel Moment Frame Tao Wang, IEM, China Andres Jacobsen, Kyoto University, Japan Maria.
Virtual Experiments for Teaching Hysteretic Structural Behavior Shirley J. Dyke, Nestor Castaneda, and Zach Feinstein Washington University in St. Louis.
UNIX System Administration OS Kernal Copyright 2002, Dr. Ken Hoganson All rights reserved. OS Kernel Concept Kernel or MicroKernel Concept: An OS architecture-design.
Institute of Computer and Communication Network Engineering OFC/NFOEC, 6-10 March 2011, Los Angeles, CA Lessons Learned From Implementing a Path Computation.
Cheng Chen Ph.D., Assistant Professor School of Engineering San Francisco State University Probabilistic Reliability Analysis of Real-Time Hybrid Simulation.
Distributed Hybrid Earthquake Engineering Experiments: Experiences with a Ground-Shaking Grid Application Laura Pearlman, Carl Kesselman, Sridhar Gullapalli.
Rensselaer Polytechnic Institute CSCI-4210 – Operating Systems CSCI-6140 – Computer Operating Systems David Goldschmidt, Ph.D.
1 Next Few Classes Networking basics Protection & Security.
Chapter 4 Realtime Widely Distributed Instrumention System.
LAN Switching and Wireless – Chapter 1
A Survey of Distributed Task Schedulers Kei Takahashi (M1)
Purdue University, West Lafayette, IN Phone: (765) Fax: (765) Investigation of the Effect of Transfer.
ITSC Issue Forum: Toward a Common Long-Term Vision for NEES Cyberinfrastructure & IT Services.
1 Real-Time Hybrid Simulations P. Benson Shing University of California, San Diego.
Hybrid Sim design review Paul Hubbard Oct
Example: Sorting on Distributed Computing Environment Apr 20,
Database Design and Management CPTG /23/2015Chapter 12 of 38 Functions of a Database Store data Store data School: student records, class schedules,
A Distributed Algorithm for 3D Radar Imaging PATRICK LI SIMON SCOTT CS 252 MAY 2012.
S4-Chapter 3 WAN Design Requirements. WAN Technologies Leased Line –PPP networks –Hub and Spoke Topologies –Backup for other links ISDN –Cost-effective.
Hybrid Simulation of Structural Collapse
Issues Autonomic operation (fault tolerance) Minimize interference to applications Hardware support for new operating systems Resource management (global.
Oracle's Distributed Database Bora Yasa. Definition A Distributed Database is a set of databases stored on multiple computers at different locations and.
Zibin Zheng DR 2 : Dynamic Request Routing for Tolerating Latency Variability in Cloud Applications CLOUD 2013 Jieming Zhu, Zibin.
Server to Server Communication Redis as an enabler Orion Free
Vertical Optimization Of Data Transmission For Mobile Wireless Terminals MICHAEL METHFESSEL, KAI F. DOMBROWSKI, PETER LANGENDORFER, HORST FRANKENFELDT,
Advisor: Dr. Edwin Jones 1 Client: Paul Jewell ISU Engineering Distance Learning Facility May01-13 Design Team: David DouglasCprE Matt EngelbartEE Hank.
S-Paxos: Eliminating the Leader Bottleneck
William Stallings Data and Computer Communications
Multi-Site Soil-Structure-Foundation Interaction Test (MISST) PI: Bill Spencer, Illinois Co-PIs: Amr Elnashai, Dan Kuchma, Illinois Jim Ricles, Richard.
NEES Cyberinfrastructure Center at the San Diego Supercomputer Center, UCSD George E. Brown, Jr. Network for Earthquake Engineering Simulation Analyzing.
11 CLUSTERING AND AVAILABILITY Chapter 11. Chapter 11: CLUSTERING AND AVAILABILITY2 OVERVIEW  Describe the clustering capabilities of Microsoft Windows.
1 Soft Timers: Efficient Microsecond Software Timer Support For Network Processing Mohit Aron and Peter Druschel Rice University Presented By Oindrila.
Silberschatz, Galvin and Gagne  Operating System Concepts UNIT II Operating System Services.
SCJ and EV3 Robots Leadership Election. Background Safety Critical Java – A safety critical programming model in Java EV3 mindstorms Lego Robot – A robot.
The Internet Book. Chapter 16 3 A Packet Switching System Can Be Overrun Packet switching allows multiple computers to communicate without delay. –Requires.
Wireless Mesh Networks Myungchul Kim
Data Manipulation with Globus Toolkit Ivan Ivanovski TU München,
UDP File Transfer Nathan Kiel CSE434. Goal Explore difficulties of UDP transport in a file transfer application Direct experience by writing an FTP style.
A Protocol for Tracking Mobile Targets using Sensor Networks H. Yang and B. Sikdar Department of Electrical, Computer and Systems Engineering Rensselaer.
1 Teacher Resource Network A K-20 Initiative Project Concept Greg Marks
Cluster computing. 1.What is cluster computing? 2.Need of cluster computing. 3.Architecture 4.Applications of cluster computing 5.Advantages of cluster.
INTRODUCTION TO XSEDE. INTRODUCTION  Extreme Science and Engineering Discovery Environment (XSEDE)  “most advanced, powerful, and robust collection.
Distributed Databases
Chapter 2: Operating-System Structures
Chapter 2: Operating-System Structures
Presentation transcript:

July 21, 2005AESE Fast Hybrid Simulation with Geographically Distributed Substructures Gilberto Mosqueda Boza Stojadinovic Jason P. Hanley (Presenter) Andrei M. Reinhorn Mettupalayam Sivaselvan

July 21, 2005AESE Distributed Testing in NEES NEES is the Network for Earthquake Engineering Simulation –Utilize capabilities of geographically distributed experimental facilities –Provide remote access to these facilities MOST was the first full scale test of the NEESgrid infrastructure Goal of research is to expand NEES infrastructure to: –Improve reliability of results –Increase speed of test

July 21, 2005AESE Communications Protocol NTCP  NEESgrid Teleoperations Control Protocol A standardized protocol for exchange of control information Provides integrated authentication and authorization services Robust handling of network faults –Re-transmission after timeout –Ability to pause or restart an experiment

July 21, 2005AESE Faster Continuous Testing Parallel communication with remote sites –Implement multi-threaded Simulation Coordinator Streamlined communications protocol (NTCP) –Minimize network communication –Reduce overhead caused by security protocols Event-driven controller –Reduce the time it takes to load experimental substructures –Implement algorithms for continuous loading of experimental substructures

July 21, 2005AESE Multi-threaded Communication Threads running in parallel In linear execution step time is the sum of communication times with each site In parallel execution step time is the maximum of the communication times with each site

July 21, 2005AESE NTCP Improvements The original design of the protocol has too much overhead A simulation time step could involve up to 3 round-trip communications Propose > Execute > Query A new command (ProposeAndExecute) was created to do all this in one round-trip communication Improvements are backward compatible with any control system interfaced to NTCP

July 21, 2005AESE Event-driven Controller Continuous loading of experimental substructures Used polynomial extrapolation to predict load path and corrects using interpolation when target becomes available Time out’s calibrated to network round-trip communication time

July 21, 2005AESE Structural Model 6-span bridge model –Span and two column are numerical models –Other three columns are experimental models Experimental Sites: Berkeley Boulder Buffalo Computational Sites: Buffalo (Span) UIUC Lehigh

July 21, 2005AESE Remote Substructures Berkeley Stiffness 0.49kN/mm Yield disp. 16mm Max. disp. 100mm Buffalo Stiffness 0.32kN/mm Yield disp. 8mm Max. disp. 25mm The displacement and forces were scaled to match the initial stiffness of the numerical full-scale column.

July 21, 2005AESE Numerical Simulation Bridge model was subjected to 15 seconds of ground shaking –Ground motion is an artificial record created from spectral density Operator-splitting integration algorithm –Integration time step of 0.01 seconds –1500 simulation steps Numerical simulation integrated with the Simulation Coordinator –Remove one round-trip communication per step

July 21, 2005AESE Site Architecture

July 21, 2005AESE Network Architecture All sites connected via Internet2 backbone Local NEESpop’s as close to network uplink as possible (1-2 hops) Internet2 (Abilene) Network Backbone (10Gbps)

July 21, 2005AESE Simulation Protocol 1.Local simulation of all sites 2.Local test of specimen with remote sites simulated 3.Distributed simulation of specimens 4.Distributed test with single specimen, others simulated 5.Distributed test

July 21, 2005AESE Simulation Results Non-linear behavior is due to the actual measured behavior of the physical specimens (Buffalo & Berkeley) Remaining (3) column substructures were simulated numerically

July 21, 2005AESE Timing Results Simulation took 1074 sec. (about 17 minutes) Average step time 0.66 sec. Four substantial delays –Four ~ 23 sec. –One ~ 3 sec. Multiple recovery from network timeouts in the TCP and Application layers

July 21, 2005AESE Lessons Learned Scheduling multi-site tests is hard –Getting 5 different sites equipment and personnel free at the same time is not easy Usage of some communication channel is a must –Audio/Video conference –Chat room To address all problems computer scientists and structural engineers must work together –They don’t always speak the same language

July 21, 2005AESE Conclusions A distributed control strategy was implemented into NEESgrid to support relatively fast and continuous hybrid simulation testing methods with geographically distributed substructures Considerable improvements to overall testing time and network robustness Reliability of the results was improved by the minimization of force-relaxation and other strain- rate related errors in the experimental substructures

July 21, 2005AESE Thank you