Semantic Grid and Pervasive Computing

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Semantic Grid and Pervasive Computing

• David De Roure
• dder_at_ecs.soton.ac.uk

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Semantic
Pervasive
Grid
David De Roure
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Semantic
Pervasive
Grid
David De Roure
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The Grid Problem has moved on

• Resource sharing coordinated problem
  solvingin dynamic, multi-institutional virtual
  organisations

Foster, Kesselman, Tueke
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Grid vs e-Science

• Grid computing is the infrastructure for
  e-Science
• e-Science is about the new science we can
  generate using this infrastructure
• e-Science involves e-Scientists it doesnt
  start at the socket on the wall
• This is why myGrid is called myGrid !

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Comb-e-Chem
Video
Simulation
Properties
Analysis
StructuresDatabase
Diffractometer
X-Raye-Lab
Propertiese-Lab
Grid
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Smart Tea
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Geodise
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Industrial applications
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Grid points

• Grid applications involve people
• People interact with systems
• People have knowledge
• Virtual organisations are formed of people and of
  software entities (services)

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Semantic
Pervasive
Grid
David De Roure
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• www.equator.ac.uk

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In the wild
Equator experiences place advanced research
infrastructure before users
advanced laboratory prototypes
mature deployed technologies
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Infrastructure challenge
The infrastructure required to support the
dynamic assembly of new devices into coherent
user experiences

• Shift in focus on target users
• from developer
• through experience builder
• towards inhabitant

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EnviSense - The Next Wave Centre for Pervasive
Computing in the Environment
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More sensors enable higher spatial and temporal
resolution
Using Explicit Intelligence
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SECOS System Architecture
Using Implicit Intelligence
Surface moored buoy, VHF comms (shore and/or
other buoys), u/w comms and control of sensor
packages, data storage.
Basic disposable sensor packages (e.g temp,
turbidity). Limited storage and power. u/w comms.
Enhanced disposable sensor package (e.g. temp,
pressure, turbidity, current). Increased storage
and power, u/w comms.
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www.envisense.org
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Semantic
Pervasive
Grid
David De Roure
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Grid Pervasive Relationship

• Both involve similar computer science issues
• Large scale distributed systems
• Service description, discovery and composition
• Real Grid computing applications have pervasive
  aspects
• e-Scientists in smart laboratories
• collaborative environments such as Access Grid
• patients using wearable computing technologies
• Real pervasive computing applications have grid
  aspects
• sensor arrays increase the temporal and/or
  spatial density of data, requiring Grid for
  significant computational tasks

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Grid AND Pervasive Projects
The Grid
IPv6
Devices
e.g. Model of floodplain e.g. Medical signal
processing
Can we shift the computation towards the devices?
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MIAS Devices

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Semantic
Pervasive
Grid
David De Roure
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(No Transcript)
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Semantic Grid
Semantic Web
Richer semantics
Classical Web
Classical Grid
More computation
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Semantic
Pervasive
Grid
David De Roure
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OWL-S Service Profile
Non Functional Properties
Functionality Description
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Semantic Pervasive

• The full richness of the pervasive vision also
  needs the Semantic Web technologies
• Again we need to assemble new applications with
  ease
• Again we need service description, discovery and
  composition
• NB We are pushing the Semantic Web technologies
  quite hard, e.g. triplestore

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Knowledgeable Devices
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Semantic
Pervasive
Grid
David De Roure
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Network Effect

• If we have multiple sources of metadata about the
  same URI, the URI links it together the more
  metadata, the more added value
• This relies on shared URIs!
• Should achieve similar effect through spatial and
  temporal references

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Annotation at Source

• Pervasive computing can ease the problem of
  generating metadata
• See Smart tea
• We can chase published results back through
  derived data back to original source data
• This changes the process of scholarly
  communication in e-Science and publishing
• Also applies to Access Grid!

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Chemistry Starts in the Lab
URI
URI
URI
Lab
Lab
Lab
URI
URI
Database
Publication
URI
NCS
Structure
Raw data
URI
URI
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Ontological Mediation of Meeting
StructureArgumentation, Annotation, and
Navigation

• Simon Buckingham Shum
• David De Roure
• Marc Eisenstadt
• Nigel Shadbolt
• Austin Tate

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• Embedded intelligence services
• Dynamically and massively distributed device
  networks
• Communications
• Trust and confidence enabling toolsEncryption/IPR
  /Dependability
• Cross Media Content
• Multi-modal and adaptive interfacesHeavy
  Content/tagged/mark-up
• Dialogue goal-oriented negotiation (agents)
• Electronics (Micro/nano) scaling down
• Displays
• Power source

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Conclusions

• Grid and Pervasive Computing are important and
  related visions
• They support each other
• They share distributed systems issues
• Both stand to benefit from Semantics within the
  infrastructure
• Service description, discovery, composition
• Share many problems
• Many unsolved problems!
• We can compose services, but how do we compose
  them into something useful?!

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Challenging some assumptions

• Ease of dynamic assembly of services to meet
  needs
• Self-assembly grid applications!
• Timely grid processing
• Not batch processing
• Grid computation on devices
• Concrete by the megaflop?
• Publication at source
• Exploiting network effects
• What will the Grid look like in 10 years time?

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Adverts

• IPv6 Working Group
• Ubiquitous Computing BOF

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Daves Office
e-Science
(Comb-e-Chem lab coat)
Grid
Pervasive
(The DaveDe Roure MemorialCluster)
(5 Floodnet nodes)
Semantic
(Jim Hendlers bag)