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Enterprise Information Interoperability EII Thoughts

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Title: Enterprise Information Interoperability EII Thoughts


1
Enterprise Information Interoperability(EII)Thou
ghts Observations
  • Mike Evanoff, Technical Director
  • ManTech International
  • Wednesday, Sept 22nd 2004
  • AFEI Enterprise Integration Expo

2
Slides and related info will be posted at the
following site
  • www.meiim.com

3
Outline
  • Value Proposition
  • Ingredients of EII
  • EII Methodology
  • Integration Server
  • Vendor overview various approaches
  • Ontology, MDA, XML, etc.
  • Closing thoughts

4
Introduction
  • The problems that exist in the world today
    cannot be solved by the level of thinking that
    created them.
  • Albert Einstein
  • ManTech is currently supporting DoD in the EII
    space for Logistics Information
  • EII for Maintenance Information Sharing
  • EII for Logistics Information Exchange supply
    chain, distribution, maintenance.
  • Concept of Operations Architectural Framework
  • Operational Prototype

5
EII Setting the Stage
  • The problem of enterprise data access has been
    solved (circa mid-late 90s)
  • The problem of enterprise information usage
    interoperability remains unsolved
  • There is an increasing need to bring together the
    enterprise data such that the data can
    transformed into actionable information, which
    can then be used to enable new and innovative
    business processes
  • Must be assured of the meaning context, and the
    authenticity
  • Must operate in a timely to near real-time mode
  • Must be more manageable and provide reduced TCO
    vis-à-vis traditional techniques in place today

6
DoD / Fed IT Environment Observations
  • Decentralized management structure
  • Driven first by politics, then by business /
    technology needs
  • Supposed to embrace commercial best practices,
    reduce redundancies, and develop / maintain
    enterprise architectures collaboratively
  • There are too many disconnected COIs with their
    own sets of cultural peculiarities
  • Jargon, vocabularies, etc.
  • Not agile, not responsive
  • Sometimes we cant see the forest because of the
    trees!

7
Interoperability 30,000 ft ViewObservations
from the ground up
  • 30k ft - Large Enterprise
  • 20k ft - Enterprise
  • 10k ft - Multiple COIs
  • 5k ft - Community of Interest (COI)
  • 1k ft - Multiple Application Systems
  • 100 ft - Application System
  • 10 ft - Info (Context Semantics)
  • 1 ft - Data (Content, Format, Syntax)

LimitsConsistency
Traditional EAI Apps
Overlooks
Focuses on
Information Data Semantics (for a given
Context)
8
General Value Proposition
Today
EII
  • Information clarity,
  • Loosely-coupled,
  • Flexible and adaptable,
  • Maintainable over life-cycle,
  • Scalable, etc.
  • Ambiguous,
  • Tightly-coupled,
  • Brittle,
  • High cost to maintain interfaces,
  • Not scalable, etc.

9
Enterprise Information Interoperability (EII)
  • EII represents a breakthrough approach to
    enabling interoperability within and across large
    and complex enterprises such as DoD
  • EII represents discipline and a commercial
    marketspace and tools
  • The EII approach to achieving semantics-based
    enterprise information interoperability extends
    that of traditional EAI
  • EII addresses both the physical and, more
    importantly, the logical aspects of information
  • Metadata is at the core of EII
  • Design-time metadata is used to capture the
    semantics and context within a shared purview for
    the enterprise
  • Run-time metadata is used facilitate application
    integration and information sharing in a
    rigorous, formalized, repeatable, and computable
    manner

10
Five Essential Ingredients of EII
  • Methodology
  • To provide a way to capture and preserve the
    meaning of data and the pertinent contextual
    information in a rigorous, formalized,
    repeatable, and computable manner
  • Metadata Management Approach (Ontology, Model
    Driven, etc.)
  • Formal specification of how to express semantics
    and context for a particular domain of interest
  • Separation of concerns to increase manageability
  • Supporting COTS tools
  • Technical Infrastructure
  • User community

11
MEIIM Methodologywww.meiim.com
  • Setting up teams
  • Project Planning
  • Design Discovery
  • Formalization Accommodation
  • Interoperability Engineering
  • Implementation
  • Continuous Improvement

12
Existing Project Plan
Project Management
VERSION 9-1
Initial Project Planning
Project
Updated Project Plan
Plan
Cross functional team comprised of
Industry/Government and ManTech e-IC, with
Internal / External Subject Matter Experts, and
Alliance Partners
Functional Process Working Group
Systems/Technical Working Group
Interoperability Working Group
1. Planning
Current Architecture
2. Design Discovery
Detailed Design
(20 80 rule)
3. Implementation
Target Architecture
Information InteroperabilityEngineering
Development
Detailed Discovery
Risks and Dependencies
Physical Data Mapping
QA,Test Debug
Interoperability Strategy
Requirements Specification
Logical / Virtual Modeling
Organizational Policy Goals
Interoperability Demonstration
Interoperability Engineering
Legal Considerations
Relate Logical to Physical
Evaluate Accept
Interoperability Specification
Security Policy
Optimize
Refine Requirements
Configuration Management
MEIIM
Deployment, training, and support
ManTech Enterprise Information Interoperability
Methodology
Enterprise InformationInteroperability Solution
13
Some Take Aways regarding EII Methodologies
  • Externalizing
  • To know it exists
  • To represent it in an unambiguous, formalized,
    and computable manner
  • Interoperability Engineering
  • Physical mapping
  • Logical mapping
  • Relating Logical to Physical
  • Manage Interconnectivity collaboratively
  • At the enterprise level or shared purview level

14
Metadata Management Approach
  • Ontology
  • Industry driven, e.g. Context Inspired Component
    Architecture (CICA), PDML, etc.
  • Model Driven
  • Meta Object Facility
  • W3C Approaches
  • Web Ontology Language

15
Evolution of Data Access from standalone Apps of
the 1950s 60s to the connected Enterprise of
today
EII will standardize info usage for the
enterprise!
EII TierArchitecture
  • Client / User Agent
  • App Server
  • Integration Server
  • Enterprise Data Stores(i.e. DBMS, etc.)

3 Tier has standardized data access
Application Data Access
3 TierArchitecture
Data Access via RDBMS
  • Client / User Agent
  • App Server
  • DBMS Server

Data Access via DBMS
Data Access via File Sys
Time
(message-oriented)
(service-oriented)
16
Some EII and Related Vendors
  • www.metamatrix.com
  • www.networkinference.com
  • www.microsoft.com/biztalk
  • www.unicorn.com
  • www.compositesw.com
  • www.webmethods.com
  • www.tibco.com
  • www.metaintegration.net
  • www.iwaysoftware.com
  • www.contivo.com
  • www.modulant.com
  • and others . . .

17
Its not a perfect world!
  • After listening to Vendors, Managers, and related
    stakeholders involved with EII projects one might
    think that the EII nut has been cracked this is
    not so!
  • EII Revisited
  • Enterprise Information Integration will continue
    to be shaped by many forces some seen and some
    unforeseen.
  • EII should be thought of as the evolution
    business process automation as it is effected by
    advancements from emerging computing technologies
    (software, data standards, hardware, telecom,
    etc.).

18
Profusion of Metadata
  • Use service portfolio - registry
  • you cant reuse what you cant find
  • Profusion of XML Schemas
  • WSDL is out of control
  • Metadata is key but no single solution exists
  • Metadata is spiraling out of control at several
    levels backbone, process auto, workflow, app
    level, BAM, etc.
  • EAI backbone
  • Process automation
  • Workflow
  • Application level, etc.

19
Enterprise Information Interoperability
EII
Design Time Data Strategy
Virtual / Logical Model
Incremental Implementation
EII
Loosely-coupled
Transport
Security
XML Technology
Non-invasive
Validation
Interoperability
A breakthrough approach to enabling
interoperability within and across large and
complex enterprises.
EII achieves interoperability by operating at the
logical level of information exchange. EII
focuses on the meaning and context of data and
identifies and resolves conflicts that might
affect communication between people,
organizations, and applications that generate or
process the information.
ManTechs e-ICs interoperability team is focused
on researching, developing, and implementing EII
technologies to help streamline enterprise
interoperability infrastructures. For more
information on projects the team is currently
involved with, please visit http//www.dcnicn.com/
xmledicentral/ or http//www.dcnicn.com/mh-60_elit
e_phase_ii/.
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