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Francine Berman

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Title: Francine Berman


1
The Cal-IT2 Software Challenge
  • Francine Berman
  • UCSD Interfaces and Software Layer Leader

2
Software and Cal-IT2
  • Cal-IT2 will develop living laboratories which
    prototype future work, play and Internet
    environments
  • Software will provide the critical glue which
  • enables system components to work together
  • enables applications to achieve performance
  • The Cal-IT2 SW Environment Will
  • Be completely decentralized
  • Target
  • an extraordinary diversity of HW and SW (sensors,
    agents, PDAs, servers, wireless and wireline
    networks, control rooms, )
  • continuous streams of data from millions of
    sensors
  • Require guerrilla infrastructure which
    self-assembles from the bottom up
  • Be Use at your own risk
  • Pave the way for commercial deployment

3
Cal-IT2 Applications
  • Cal-IT2 Applications will push the envelope
  • Applications will process data from massive
    number of throwaway endpoints
  • E.g. traffic management, disaster response
  • Seti_at_home, Entropia applications
  • Applications will compute based on emergent
    behavior of millions of self-organizing
    components
  • Think Distributed Interactive Simulation
  • Applications will compute on wide variety of
    heterogeneous resources simultaneously
  • PCs, PDAs, Servers, Supercomputers, remote
    instruments
  • High-capacity networks, storage and computational
    resources will enable previously big iron
    applications to transition efficiently to the
    Grid
  • Grid-enabled CFD, genome_at_home

4
Cal-IT2 Software Challenges
  • New application paradigms
  • Self-organization, emergent behavior,
    megacomputing
  • Statistical approach in which some fraction of
    devices always non-functional
  • New models for design, prototyping, simulation
  • Security
  • Authentication of people and devices, integrity
    of sensor data, distributed intrusion detection,
  • Data
  • New approaches to collecting, storing, accessing
    and analysis of huge amounts of sensor data
  • Scalable Grid computing
  • Development of large-scale campus-wide
    distributed testbeds
  • Megacomputing Grid computing with millions of
    throw-away end-devices
  • Agent-based technology
  • Adaptive computing, mobile agents
  • Interfaces
  • Large screen control rooms for disaster
    response, ultimately a prototype for smart
    offices
  • Access to real-time analysis of very large
    datasets, visualization, multi-scale information

5
The Grid An Initial Model for Cal-IT2 SW
A source book for the history of the future --
Vint Cerf
Edited by Ian Foster and Carl Kesselman www.mkp.co
m/grids
  • SW focus on
  • Services
  • Component Integration
  • De-centralization
  • System and User-level Middleware

6
MegaComputing Taking the the Grid to the Extreme
  • Megacomputing Applications will be
    structured
  • for throwaway end devices
  • for continuous execution
  • to achieve performance and
  • computational goals in highly
  • dynamic, unfriendly envts.

Seti_at_Home -- sustains over 2 teraflops in
production use
Genome_at_home -- bringing big iron applications
into Grid environments
Entropias Great Mersenne (2p 1) Prime Search
found the firstmillion digit prime
7
The Software Challenge is immense
  • First Steps
  • SensornetSim Voelker
  • Simulator for sensor arrays which can support the
    development of prototypes of sensor
    infrastructure and SW components for Cal-IT2
  • Expansion of Sanctuary Security System to
    wireless Yee
  • Extend UCSD Sanctuary secure mobile agent system
    as a wireless application security platform
  • Development of applications which use mobile code
    for latency hiding
  • Prototype smart campus MUDD for 6th College
    Griswold, Voelker, Wienhausen/6th, etc.
  • First year centralized MUDD for 6th college
    courses, location sensing for students with PDAs
  • Plan for 21st Century UCSD course at 6th College

8
The Software Challenge is immense
  • First Steps
  • Genomics Applications
  • Development of assembler for sequencing large
    genomes Pevzner
  • Detection of protein structure from sequences
    using Protein centroids Rosen/CSE, Bourne/SDSC
  • Coupled Oceanographic Modeling Simulation
    Baden/CSE, Stammer/SIO
  • Assimilation of satellite data into running
    oceanographic simulations
  • Content-Based Web Crawling Elkan, Belew,
    Cottrell
  • Webclopedia extends Internet-accessible
    information to include billions of Web pages
    through their content
  • Seeks to develop a Web of Knowledge that
    functions as a multilingual encyclopedia to
    answer simple questions

9
Cal-IT2 Interfaces and SW Layer
  • To fulfill the Cal-IT2 vision, we will focus on
    fundamental research in
  • Middleware
  • Security
  • Networking
  • Modeling and simulation
  • Grid Computing, Megacomputing
  • Mobile agents
  • Database technology and Data-mining
  • Over 37 faculty involved from UCSD CSE and UCI
    CIS
  • We are already getting started
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