NODAL: A Filesystem for Ubiquitous Collaboration - PowerPoint PPT Presentation

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NODAL: A Filesystem for Ubiquitous Collaboration

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Ubiquitous Collaboration. Development of rich, complete, adaptive, exploitable knowledge ... Live collaboration recorded and integrated into knowledge base ... – PowerPoint PPT presentation

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Title: NODAL: A Filesystem for Ubiquitous Collaboration


1
NODALA Filesystem forUbiquitous Collaboration
  • Lee Iverson
  • SRI International
  • leei_at_ai.sri.com

2
High-performance Teams
  • Teams should be more than sum of parts
  • Rapidly make decisions
  • Make the right decisions
  • Respond quickly to new tasks
  • Rapidly allocate resources
  • Reuse previous work in context
  • Integrate remote members effectively

3
Ubiquitous Collaboration
  • Development of rich, complete, adaptive,
    exploitable knowledge archive for teams.
  • Facilitation, recording and indexing of dialogue
    and processes of decision making
  • What?
  • Who and when?
  • Why?

4
Barriers
  • High cost of entry
  • Extra work to get data into shared repository
  • Much relevant data is never entered
  • Failure to interoperate with legacy applications
    and work models
  • High cost of exploitation
  • Inadequate search and reuse
  • Not integrated with tools
  • No support for dependencies/relationships

5
ExampleSoftware Development
  • Products
  • Design documents
  • Source code
  • Documentation
  • Papers
  • Marketing documents
  • Discussion
  • Email
  • Chat

6
ExampleSoftware Development
  • Relationships and dependencies are critical but
    implicit
  • Maintaining dependencies requires great effort
  • Expensive, unreliable
  • Combination of products and discussions form a
    knowledge base
  • Currently unexploitable

7
Example Proposals
  • Products
  • Background research
  • Proposal proper
  • Costing
  • Bios
  • Integrated, online product and knowledge base
    more critical when collaborators physically
    distributed

8
OHS/DKR
  • Open Hyperdocument System
  • Open standard
  • All kinds of documents
  • Tools for creating and manipulating
  • Dynamic Knowledge Repositories
  • Recorded dialog
  • Collective IQ

9
OHS/DKRProposed Organization
Brain metaphor
10
OHS/DKR Data
  • Filesystem Database
  • Data Model for Documents
  • Content and Structure
  • Communication model(s)
  • Security/Privacy
  • Auditing Attribution
  • Neurons

11
OHS/DKR Knowledge
  • Semantics
  • Explicit knowledge
  • RDF/DAML
  • Topic maps
  • Object models
  • Long term memory

12
OHS/DKR Context
  • User interfaces
  • Perception and action
  • User modelling
  • Intention
  • Action
  • User adaptation
  • Short term memory, Perception

13
The Data Layer Requirements
  • Distributed network oriented
  • Application independence
  • Cross-platform
  • Cross-language
  • Cross-application
  • Shareable and reusable content
  • Built-in security/privacy model
  • Change attribution and auditing
  • Legacy document and application support

14
The Data Layer Requirements
  • Flexible communication model
  • Synchronous
  • Asynchronous
  • Hyperlinking
  • To/from any context
  • Stability through changes
  • Rich search facilities

15
NODAL The Data Layer
  • Network-Oriented Data Abstraction Language
  • Web-based filesystem and database
  • Granularity below file level
  • General, extensible data model
  • Fully addressable content
  • Inherent hyperlinking and reuse
  • Radical simplicity and generality

16
NODAL Filesystem
  • Traditional filesystem model
  • Hierarchical directories
  • Documents
  • Accessible by HTTP/S
  • Documents all typed (MIME)
  • Encoder/decoder
  • Type of root node of document data model

17
NODAL Type System
  • Atomic types
  • boolean, integer, character, octet, float, double
  • Node types (collections)
  • Struct like C struct
  • Sequence indexible sequence
  • Map extensible dictionary
  • Language for extending/composing types

18
NODAL Data Model
  • Document is graph of nodes
  • Accessible from root node
  • Nodes reusable
  • Within and between documents
  • String is
  • ltsequence itemTypecharactergt

19
NODAL Navigation
  • Every data item addressable by URI
  • Paths
  • Document URI specifies root node
  • Path operators for moving through node graph
  • Every path expressible as URI
  • Hyperlinks (dependencies)
  • Any set of URIs can be linked
  • Embedded and external links managed

20
NODAL Metadata
  • Node is basic unit of granularity
  • Extend filesystem principles inside documents
  • Every node has
  • Unique ID
  • Version and transaction history
  • Permission record

21
NODAL Communication
  • Local memory store (cache)
  • Storage interface (transactional)
  • Wire protocol(s)
  • XML-RPC
  • SOAP
  • OAA
  • SQL binding (PostgreSQL, Oracle, etc.)
  • Lightweight databases (Berkeley DB)

22
NODAL Search
  • Simple search language
  • SQL as model
  • Structure and content
  • Usable as content filter (views)
  • Always up-to-date
  • Possible integration with P2P search
  • Gnutella
  • NEVRLATE

23
NODAL Application Model
  • Design data model
  • Adopt/adapt document format
  • MIME type encoding plugin
  • Build application on top of NODAL API
  • Object model gt data model
  • A shared, collaborative application!

24
NODAL Legacy Applications
  • Filesystem interface via WebDAV
  • Traditional distributed filesystem over HTTP
  • COM/CORBA applications expose controls
  • Windows applications (Office) augmentable
  • Linux (GNOME/KDE) expose CORBA controls

25
New capabilities
  • All documents integrated into reusable knowledge
    base
  • Live collaboration recorded and integrated into
    knowledge base
  • Dependencies easily tracked and notifications
    processed
  • Automatic processes integrated with manual

26
Why Open Source?
  • Ubiquity
  • Create an industry, not an application
  • Web model
  • Simple, open standards
  • Open source implementations
  • Free, end-user applications

27
Open Source Funding?
  • Government funding
  • Agencies becoming more aware of the advantages of
    open source efforts
  • Foundations
  • Mostly educational
  • Enlightened corporations
  • Sun, IBM, HP, MSDW,
  • Venture capital?

28
Open Source Funding?
  • Service model
  • Companies pay for service and development of open
    source technologies they depend on
  • Client has much greater control of development
    process than with proprietary software
  • In-house developers can easily work with others
  • Given enough eyeballs, all bugs are shallow.

29
Competition
  • None really.
  • Alternatives all smaller scope
  • Groove
  • Successor to Lotus Notes
  • Proprietary, Windows-specific
  • Integration of DB and UI
  • Must build new applications (SDK)

30
Competition
  • Subversion
  • Version control for software development
  • Purely asynchronous model
  • Incremental path from CVS
  • No direct access to document structure
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