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UC Santa Cruz

UC Santa Cruz. C enter For I nformation T echnology R esearch In The I nterest Of S ociety A Partnership for California’s Future University • Industry • Government Randy Katz, Interim Director Jim Demmel, Chief Scientist www.citris.berkeley.edu.

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UC Santa Cruz

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  1. UC Santa Cruz Center For Information Technology ResearchIn The Interest Of SocietyA Partnership for California’s Future University • Industry • Government Randy Katz, Interim Director Jim Demmel, Chief Scientist www.citris.berkeley.edu

  2. Center For Information Technology Research In The Interest Of Society “Never doubt that a small group of thoughtful committed citizens can change the world. Indeed, it is the only thing that ever has.” –Margaret Mead • Major new initiative within the College of Engineering and on the Berkeley Campus • Joint with UC Davis, UC Merced, UC Santa Cruz, LBNL, LLNL • Over 90 faculty from 21 departments • Many industrial partners • Significant State and private support • CITRIS will focus on IT solutions to tough, quality-of-life related problems

  3. Societal-Scale Applications Beyond desktop Huge scale Can’t fail Applications Pull New Distributed System Architectures Scalable, Utility, Diverse Access Always connected Distributed intelligence Smart displays, cameras, sensors Technology Push Technological Breakthroughs CITRIS Scientific Strategy Societal-Scale Applications Societal-Scale Applications

  4. Core Technologies Applications The CITRIS Model • Distributed Info Systems • Micro sensors/actuators • Human-Comp Interaction • Prototype Deployment • Quality-of-Life Emphasis • Initially Leverage Existing • Expertise on campuses • Energy Efficiency • Transportation Systems • Natural Disaster Mitigation • Environmental Monitoring • Distributed education • Distributed biomonitoring Societal-Scale Information Systems (SIS) Foundations • Security, Policy • Probabilistic Systems • Formal Techniques • Data management • Simulation Fundamental Underlying Science

  5. Initial CITRIS Applications (1) • Saving Energy • Smart Buildings that adjust to inhabitants • Make energy deregulation work via real-time metering and pricing • Large potential savings in energy costs: for US commercial buildings • Turning down heat, lights saves up to $55B/year, 35M tons C emission/year • 30% of $45B/year energy bill is from “broken systems” • Transportation Systems • Use SISs to improve the efficiency and utility of highways while reducing pollution • Improve carpooling efficiency using advanced scheduling • Improve freeway utilization by managing traffic flows • Large potential savings in commuter time, lost wages, fuel, pollution: for CA • 15 minutes/commuter/day => $15B/year in wages • $600M/year in trucking costs, 150K gallons of fuel/day • Natural Disaster Mitigation • $100B-$200B loss in “Big One”, 5K to 10K deaths • Monitor buildings, bridges, lifeline systems to assess damage after earthquake • Provide efficient, personalized responses • Must function at maximum performance under very difficult circumstances

  6. Initial CITRIS Applications (2) • Distributed Biomonitoring • Wristband biomonitors for chronic illness and the elderly • Monitored remotely 24x7x365 • Emergency response and potential remote drug delivery • Cardiac Arrest • Raise out-of-hospital survival rate from 6% to 20% => save 60K lives/year • Distributed Education • Smart Classrooms • Lifelong Learning Center for professional education • Develop electronic versions of UC Merced’s undergraduate CS curriculum • Environmental Monitoring • Monitor air quality near highways to meet Federal guidelines • Mutual impact of urban and agricultural areas • Monitor water shed response to climate events and land use changes

  7. Massive Cluster Clusters Gigabit Ethernet “Server” Scalable, Reliable, Secure Services “Client” Information Appliances MEMS Sensors Societal-Scale Systems New System Architectures New Enabled Applications Diverse, Connected, Physical, Virtual, Fluid

  8. Societal-Scale Information System (SIS) • Information Utility • Planetary-scale/non-stop; secure, reliable, high-performance access, even when overloaded, down, disconnected, under repair, under attack • Smart System • Learns usage/adapts functions & interfaces • Managing Diversity • Component plug-and-play; integrate sensors / actuators, hand-held appliances, workstations, building-sized cluster supercomputers • Always Connected • Short-range wireless nets to high-bandwidth, high-latency long-haul optical backbones

  9. Ubiquitous devices require ubiquitous storage Consumers of data move, change access devices, work in many different physical places, etc. Needed properties: Strong Security Coherence Automatic replica management and optimization Simple and automatic recovery from disasters Utility model Confederations of (Mutually Suspicious) Utilities Canadian OceanStore Sprint AT&T Pac Bell IBM IBM Implementation & Deployment of anOceanic Data Information Utility(Professor John Kubiatowicz, et. al)

  10. Smart DustMEMS-Scale Sensors/Actuators/Communicators • Create a dynamic, ad-hoc network of power-aware sensors • Explore system design issues • Provide a platform to test Dust components • Use off the shelf components initially

  11. Micro Flying Insect • ONR MURI/ DARPA funded • Year 2 of 5 year project • Professors Dickinson, Fearing (PI), Liepmann, Majumdar, Pister, Sands, Sastry

  12. Synthetic Insects(Smart Dust with Legs) Goal: Make silicon walk. • Autonomous • Articulated • Size ~ 1-10 mm • Speed ~ 1mm/s

  13. PrototypeDustMote

  14. PicoRadio Extending the Scope and … Pushing the Envelope Wireless node Offices Entrance Exhibits Cafe

  15. Network Infrastructure Experimental Testbeds Soda Hall IBM WorkPad Smart Dust Velo Nino LCD Displays MC-16 Motorola Pagewriter 2000 CF788 Pager WLAN / Bluetooth Smart Classrooms Audio/Video Capture Rooms Pervasive Computing Lab CoLab H.323 GW GSM BTS Wearable Displays TCI @Home Adaptive Broadband LMDS Millennium Cluster CalRen/Internet2/NGI Millennium Cluster

  16. Foundational Research Problems • How do we make SISs reliable? • Henzinger, Aiken Necula, Sastry, Wagner • Complexity => hybrid modeling • Multi-aspect interfaces to reason about properties • Software quality => combined static/dynamic analysis • How do we make SISs available? • Patterson, Yelick • Repair-Centric Design • Availability modeling and benchmarking • Performance fault adaptation • How do we make SISs secure? • Tygar, Wagner, Samuelson • Lightweight authentication and digital signatures • Graceful degradation after intrusion • Protecting privacy, impact of related legislation

  17. California Institutes in Science and Technology • Governor Gray Davis’ Initiative • $100M state funding for capital projects over 4 years--matched 2:1 by Federal, industrial, private support • Focus on “hot” areas for 21st Century, limited to UC campuses • Three initially funded: • UCSF/UCB/UCSC (Bioinformatics) • UCLA/UCSB (Nanotechnology) • UCSD/UCI (Information Technology) • UCB-led CITRIS proposal in 2001-2002 State budget

  18. Committed Support from Industry Founding Corporate Members of CITRIS • We have received written pledges to CITRIS of over $170 million from individuals and corporations committed to the CITRIS long-range vision

  19. CITRIS Institute Proposal

  20. CITRIS Leadership • Interim Director - Randy Katz • Associate Director and Chief Scientist - James Demmel • Research Coordination Council • Adib Kanafani - Applications • David Culler - Societal Scale Information Systems • Dave Patterson - Foundations • Ben Yoo - Research Infrastructure • Pamela Samuelson - Public Policy • Manuel Castells, Annalee Saxenian - Social Impacts • Education Coordination Council - Paul Wright chairs • Government and Industrial Outreach – Tom Kalil • Other Campuses • Ben Yoo – UC Davis • Pat Mantey – UC Santa Cruz • David Ashley – UC Merced • Executive Director TBD

  21. CITRIS-Affiliated Research Activities • International Computer Science Institute,(5 faculty, 18 students) studies network protocols and applications and speech and language-based human-centered computing. • Millennium Project (15 faculty) is developing a powerful, networked computational test bed of nearly 1,000 computers across campus to enable interdisciplinary research. • Berkeley Sensor and Actuator Center BSAC (14 faculty, 100 students) is a world-leading effort specializing in micro-electromechanical devices (MEMS), micro-fluidic devices, and “smart dust.” • Microfabrication Laboratory (71 faculty, 254 students) is a campus-wide resource offering sophisticated processes for fabricating micro-devices and micro-systems. • Gigascale Silicon Research Center (23 faculty, 60 students) addresses problems in designing and testing complex, single-chip embedded systems using deep sub-micron technology. • Berkeley Wireless Research Center (16 faculty, 114 students) is a consortium of companies and DARPA programs to support research in low-power wireless devices.

  22. Applications-Related Current Activities • Partners for Advanced Transit and Highways, PATH, (20 faculty, 70 students), a collaboration between UC, Caltrans, other universities, and industry to develop technology to improve transportation in California. • Berkeley Seismological Laboratory (15 faculty, 14 students) operates, collects, and studies data from a regional seismological monitoring system, providing earthquake information to state and local governments. • Pacific Earthquake Engineering Research Center, PEER ( 25 faculty, 15 students), a Berkeley-led NSF center, is a consortium of nine universities (including five UC campuses) working with industry and government to identify and reduce earthquake risks to safety and to the economy. • National Center of Excellence in Aviation Operations Research, NEXTOR (6 faculty, 12 students), a multi-campus center, models and analyzes complex airport and air traffic systems. • Human-Centered Systems: Adapting technology to people, not people to technology (faculty from EECS, Psychology, Sociology, Education, SIMS, ME, Business) • Bioengineering Research Center - QB3 • Lawrence Berkeley National Laboratory (NERSC, EET, …)

  23. 800 700 600 500 $/MWh 400 300 200 100 0 20000 25000 30000 35000 40000 45000 MW The Inelasticity of California’s Electrical Supply Power-exchange market price for electricity versus load (California, Summer 2000)

  24. How to Address the Inelasticity of the Supply • Spread demand over time (or reduce peak) • Make cost of energy • visible to end-user • function of load curve (e.g. hourly pricing) • “demand-response” approach • Reduce average demand (demand side) • Eliminate wasteful consumption • Improve efficiency ofequipment and appliances • Improve efficiency of generation and distribution network (supply side) Enabled by Information!

  25. Energy Consumption in Buildings (US 1997) Commercial End Use Residential 6.7 2.0 Space heating 1.5 1.1 Space cooling 2.7 0.9 Water heating 1.7 0.6 Refrigerator/Freezer 1.1 3.8 Lighting 0.6 - Cooking 0.6 - Clothes dryers 0.8 - Color TVs 0.4 0.6 Ventilation/Furnace fans - 1.4 Office equipment 3.0 4.9 Miscellaneous 19.0 15.2 Total (Units: quads per year = 1.05 EJ y-1) Source: Interlaboratory Working Group, 2000

  26. A Three-Phase Approach • Phase 1: Passive Monitoring • The availability of cheap, connected (wired or wireless) sensors makes it possible for the end-user to monitor energy-usage of buildings and individual appliances and act there-on. • Primary feedback on usage • Monitor health of the system (30% inefficiency!) • Phase 2: Quasi-Active Monitoring and Control • Combining the monitoring information with instantaneous feedback on the cost of usage closes the feedback loop between end-user and supplier. • Phase 3: Active Energy-Management through Feedback and Control—Smart Buildings and Intelligent Appliances • Adding instantaneous and distributed control functionality to the sensoring and monitoring functions increases energy efficiency and user comfort

  27. Smart Buildings Dense wireless network of sensor, control, andactuator nodes • Task/ambient conditioning systems allow conditioning in small, localized zones, to be individually controlled by building occupants and environmental conditions • Joined projects between BWRC/BSAC, School of Architecture (CBE), Civil Engineering, and IEOR with Berkeley and Santa Cruz

  28. A Proof-of-Concept:A six month demonstration, already underway! Leaders: Pister, Culler, Trent, Sastry, Rabaey • “Easy”: • Fully instrument a number of buildings on campus with networked light and temperature sensors in every room, and make the data available on a centralized web-site. • “Medium”: • Make a wireless power monitor with a standard 3-prong feedthrough receptacle so that people can monitor power consumption of electronic devices as a function of time. • Similar device, but passively coupled to high-power wiring to monitor total power consumption through breaker boxes. This would give us a much finer granularity of power-consumption details, and let us look at clusters of rooms, floors, etc. • Fully instrument the campus power distribution system • “Hard”: • Real-time monitoring and control of hundreds of power systems on campus. Enforce compliance with load reduction. Charge/reward departments according to their use during peak times.

  29. SUGAR - A tool for MEMS Cad • Descendant of Spice • Goal: Fast and just accurate enough for design • Full FE analysis too slow • Scope so far • 3D electromechanical simulation • steady state, modal, transient analyses • Widely used • 100 designers at UCB • Universities, govt labs, industry • www-bsac.berkeley.edu/~cfm • Web service

  30. Challenges in MEMS Simulation • Better Mechanical models • Contact • Multiscale robustness • Reduced order modeling • Sensitivity analysis • Design Optimization • Scalability

  31. Eigenmodes of a MEMS mirror

  32. MEMS Resonator

  33. A stepper motor we’d like to simulate:challenges of contact problems

  34. Challeges to using sensor data in seismic modeling and disaster response • Position/motion/moisture/chemical/temperature/GPS sensors across civil infrastructure • Recent NRC report • Increase knowledge of safety of buildings, bridges, … • Improve emergency response • Forecast earthquake impacts • What to do with all the data? • Vast, noisy, partial • Use it to drive models of structures, transport systems,… • Where do we get the models?

  35. Scanning in the Golden Gate Bridge • Use existing 3D laser scanner • St. Peter’s Basilica (“Fiat Lux” at SIGGRAPH) • Taj Mahal, Michaelangelo’s David, Sather Tower • Problems • Registering multiple images • Noise • Meshing • Feature extraction (materials) • Hard to reach places

  36. Automatically Generated 3D Model

  37. X-ray scans of reinforced concrete

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