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Aligning and Governing IT for Optimum Autonomy in Research and Education Embracing the PerColated En

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Title: Aligning and Governing IT for Optimum Autonomy in Research and Education Embracing the PerColated En


1
Aligning and Governing IT for Optimum Autonomy in
Research and Education(Embracing the PerColated
Environment)
Jim Davis Associate Vice Chancellor - IT CIO
2
If the discussion is successful.
  • Connectionism, Autonomy the PerColated
    Environment
  • Layering (now Blending) an alternative to
    centralizing and decentralizing
  • Building the institutional infrastructure core
  • The importance of governance
  • Visible taxation and common good
  • Neutrality, credibility, fiscal authority,
    governance vs. reporting lines
  • Adjusting the OIT organization

3
META Group December 2004Federating the IT
Organization
  • The complexity of IT needs, the diversity of
    business drivers and risks the need for
    responsiveness and business-like expertise among
    lines of business cannot be adequately served
    with only a centralized IT delivery model local
    autonomy must also be embraced.
  • The structure, at present, is largely
    hierarchical
  • The movement in consciousness toward network
    thinking is affecting federated IT structures in
    progressive organizations, with corporate IT
    acting a facilitator among nodes of
    line-of-business services.

4
April 21-22 NSF Roadmap Development Workshop
5
The Smart RoadmapTransformation as a Progression
of Lanes
Lane 1 Data to Knowledge
Lane 2 Knowledge to Operating Models
Lane 5 Integrated People Knowledge and Models To
Competitive KPI
Lane 3 Operating Models to Key Industry Assets
Lane 4 Key Assets to Enterprise Application
6
Lane 3 Operating Models to Key Plant Assets (The
Holy Grail for the CIO)
  • Develop knowledge and data models for data-driven
    people and equipment asset life-cycle management
    and decision-making
  • Enable people and equipment in process operations
    to autonomously recognize and respond to
    situations
  • Develop plant-wide status data visualization
  • Develop intelligent real-time tools to manage
    transitions and respond to process and
    performance threats
  • Develop and maintain data and models as key
    corporate assets
  • Provide comprehensive knowledge capture and
    knowledge management solutions

7
SHARED DATAMouse BIRN Uses Geography to Map the
Brain
Find animal models of movement disorders where
the volume of basal ganglia structures are
decreased and where loss of spines from medium
spiny neurons is observed.
Smart Atlas
UCSD
Cal Tech
Duke
Query returns data of multiple scales for
requested location
Atlas queries distributed databases for spacial
data
Find data registered to this location.
8
DATA AGGREGATIONhttp//www.berlin.ucla.edu/hyper
media
  • Professor Todd Presner, UCLA

9
DATA VISUALIZATIONLaboratory for Neuroimaging
at UCLA (LONI)
10
EXPERIENCE AND IMMERSION INTO DATA
Santiago de CompostelaProfessor John Dagenais,
UCLA Spanish Dept.
11
COLLABORATION
12
A Fundamental Transformation Results
  • Distributed intelligence
  • Decisions and actions made at lower level of
    management granularity
  • Coordinated/aggregated smart units
  • Centralized hierarchical management gives way to
    coordinated distributed management
  • Explicit management of risk and uncertainty
  • Robustness to risk and changing situations
  • Greater flexibility and responsiveness to overall
    goals
  • Distributed business and operating intelligence
    to units through integrated models

13
What are we seeing from our University standpoint
  • American and Reinvestment Act 2009
  • 4.7 billion NTIA (National Telecommunications
    and Information Admin)
  • 2.5 billion RUS (Rural Utility Services)
  • 200 million ARI (Academic Research
    Infrastructure
  • Electronic Patient Records
  • DOE, NSF, NASA, NIH 337 million in added funding
  • DOE million in energy
  • NSF targeting 250 million in Cyber Enabled
    Discovery and Innovation

14
NIH, NSF, DOE, DOD, NIST
  • Simulation Based Engineering Science and US
    Competitiveness
  • Any one can compute
  • Data and simulation effectiveness key factor in
    economic competitiveness
  • Inadequate education
  • Persistent pattern of subcritical funding in US
  • Build case for legislative investment

http//www.wtec.org/sbes/
15
WILL WE RETURN TO THE PAST? NOWHERE IS THE
NEXT WAVE OF INNOVATION? LETS TALK
16
Lets Build the PerColated University with LOB
Autonomy
  • Service Layering (Blending)
  • UCLA IT Planning Task Force

17
There is great Value in Lines of Business Autonomy
Chancellor/Exec Vice Chancellor
Senate
Professional Schools
College of Letters and Science
Public Health (Biostats, Health Services)
Theater, Film TV (Digital Media)
Dentistry (Biomaterials, Pediatrics Oral Biology)
Life Sciences (Physchology, Micro- biology)
Physical Sciences (Physics, Stats)
Grad School of Ed Info Studies (Education)
Engineering Applied Sciences (Materials)
Arts Architecture (Urban Design, Art, Music)
Social Sciences (Economics, History)
Humanities (Literature, Art Classics)
Law (Entertainment, International)
Medicine (Human Genetics, Physiology)
Public Affairs (Social Welfare, Urban Plan)
Nursing (Primary Care, Acute Care)
Anderson School of Mgmt. (Acctg, Policy)
Library (East Asia, Music, Research)
UCLA Administrative Units (Research, Business
Administrative Services, Finance Budget,
External Affairs, Legal Affairs)
18
Great Value in Connectedness, Collaboration,
Visibility and Sharing UCLAs CI Vision
Institute for Digital Research and Education IDRE
Research CI
Common Collaboration And Learning Environment CCLE
Institute for Informatics I2
Cyber Learning
DataNet
19
UCLAs CI Environment
UCLA and UC Grid
Increasing resource connectedness, Inter
disciplinary capacity and individual capability
Public Limited Private
Working Area -Project Descriptions -Drafts -Annot
ation
19
11/13/2009
20
Rendition of UCLAs CurrentAdministrative Data
Application Architecture
Enterprise Data
Data
Applications App Infrastructure
Technology Platforms Data Centers
Admin
SOM Clinics
Other
Health Sciences
Student
Networking Telecom
CTS Network Backbone
MCCS Network Backbone
Analog Telephones External Network Connections
Adapted from Architecture as Strategy Creating
a Foundation for Business Execution, J. Ross, P.
Weill, D. Robertson, HBS Press June 2006 Based on
companies operating in Business Silos
21
IT Planning Task ForceUCLA IT Principles
  • IT Investment Strategy
  • Federated and Layered IT Services Model
  • Shared Core Communications Connectivity
  • Data is an Institutional Asset
  • Adherence to a Campus IT Architecture
  • Innovation and IT Project Risk
  • Robust IT Project Management
  • IT Oversight and Governance

22
  • Operating Model The necessary level of business
    process integration and standardization for
    delivering goods and services to customers (Ross
    Weill)
  • and specifically for our purposes
  • The methodology by which we implement the
    principles

23
We have values embedded in our principles that
are foundational to the operating model
  • Local autonomy at R E frontlines is highly
    valued in UCLAs primary economy
  • Critical component of innovation
  • High degree of individualized and responsive end
    user support part of this economy
  • Connectedness and the potential for collaboration
    are also highly valued in an innovation economy
  • Because data is an institutional asset, decisions
    on infrastructure should ensure campus wide data
    information are available and accessible in a
    trusted environment
  • We will adhere to an IT architecture and plan
    that aligns individual solutions with a campus
    strategy

24
Important Definitions
  • IT Service any use of systems AND staff support
    to deliver an IT capability that enables or
    supports an end user capability
  • Application Data IT Service IT application,
    database and staff support that enable an end
    user capability
  • Integrated Application Data IT Services
    applications databases that need to interface
    and/or interoperate to form a complete end user
    service
  • Business Process an orchestration of integrated
    application data services within a unit or
    across units
  • IT Infrastructure Service IT services and staff
    support that enable Application Data Services
    and Processes
  • Centralized IT Service a campus wide service
    that is provisioned and delivered to the end user
    and functional support staff without involvement
    of a local IT operation can still have impact
    if infrastructure not consistent, i.e. web
    browser
  • Decentralized IT Service a locally deployed
    service that is provisioned and delivered to the
    end user and functional support staff without
    the involvement of a centralized or regionalized
    IT operation
  • Blended IT Infrastructure Service an
    Infrastructure IT service formed by sharing
    institutional components of a centralized service
    and components of local services to form an
    overall service that is provisioned and delivered
    with joint accountability to the end user
  • Regionalized IT Infrastructure Service a form
    of blended service in which a subset of unit
    based infrastructure services are consolidated
    for the region formed by those units
  • Federated IT a general term referring to an
    organization structure in which staff reporting
    lines and service provisioning can be distributed
    but still operate in concert to form an
    institutional capability

25
IT Application, Data and Infrastructure Services
Stack with Illustrative Services
  • End user transaction and decision
  • Help desk
  • End user desktop, network, security support

IT-enabled processes require all services
Services can be provisioned in different
ways and with different groupings The objective
of the operating model is to specify the
approaches that best meet UCLAs needs
  • Business process and workflow
  • Data mining and manipulation
  • Search and information access
  • IT workflow and transaction applications
  • Data models and data reporting
  • Identity management, portal
  • Web access, data base
  • Search, reporting
  • Operating system
  • Software platforms
  • Database management systems
  • Server and database processors
  • Virtual architectural services
  • Server management, sys admin
  • Data centers, hubs, security, power, UPS, network
  • hosting, monitoring
  • Network, VPN, wireless, DNS, NOC
  • Voice mail, tele/video conference, email, chat
  • Phone, PDA, cell, telecom, text, web meeting

25
11/13/2009
26
The Technology Stack Distinction Between
Application and Data Services and IT
Infrastructure Services
Institutional
Local
Process Standardization and Integration (Data
Sharing)
IT Enabled Processes
IT Application Services
Core Infrastructure Foundation
IT Infrastructure Services
26
27
The Technology Stack Distinction Between
Application and Data Services Integration and IT
Infrastructure Service Blending
  • End user requirements for electronic research,
    education, service and business accomplishment
    are supported responsively
  • Workflow, transaction and resource applications
    and data are orchestrated to form research,
    education and business processes for end user
    access and accomplishment
  • IT Services are formed by blending institutional
    and local service components from the technology
    stack
  • Deployment responsibility and accountability is
    jointly held by institutional and local service
    units
  • Governance and management to continuously review
    and shape service shared control
  • Agreements and trust that service components will
    be delivered communication channels to
    troubleshoot

28
We have already been integrating application and
data services and blending IT infrastructure
services
A Service Provisioning View
29
The Grid 80 people 20 technical
Campus Moodle
Campus Shared Cluster
Technical Grid
Staff Grid
Law
Anderson
Dentistry
Arts Arch
Nursing
Humanities
UC Grid Portal
SEAS
Physical Sciences
Public Health
TFT
Social Sciences
GSEIS
Life Sciences
Medicine
Public Affairs
Extension
30
The Shared Cluster Implementation at UCLA
Private Cloud
31
UCLA Grid and Shared Resources
32
UC CI and the Grid Current Status
Potentially 80 Tflops Available
UC CI Data Center North At LBL
Technical Staff Grid
20 Tflops
20.2 Tflops
UCLA
UCSB
4.1 Tflops
24 Tflops(1)
UC Grid Portal
LBL
UCSD/SDSC
10GB CalREN/CENIC Network
UCI
UCR
1.5 Tflops(2)
2 Tflops
20 Tflops
UC CI Data Center South At SDSC
33
CCLE PlanConverge on Moodle
  • 26 different course management systems
  • CCLE Moodle environment

Unit System
Possible Regional System
Campus-wide Shared System
34
Shared Governance Model
Project History and Timeline
Oversight
Academic Leadership, Deans, CIOs
Governance
Standards and Practices Group
Faculty Group
Student Group
Operations
Autonomous Department System
CCLE Home
Regional System
Autonomous Department System
Regional System
Shared Campus Operations
Autonomous Department System
35
Contributors to CCLE Project as of Spring 2008
36
CCLE
37
Enterprise Messaging and Calendaring
Layered Technical Support
Tier 1 Primary Support Response Responsible
login names, passwords, contact data, display
names, lock/unlock accounts, distribution lists,
add/remove contacts to DLs, shared mailboxes,
local extension spam settings

Tier 1 Departmental IT Support

Tier 2a Web-Based (Self-Help) Tools

Tier 2 CTS IT Call Center Specialists
EM System
Tier 2 Dept. IT staff resolve or researches
problem Campus Self-help tools and call center
available Coordinated through common
trouble-ticket and notification system
Tier 3
Tier 3 Provisions trouble-ticket and
tracking Tier 3 support interfacing with local
staff
38
Procurement as a Layered Service
  • Software Consolidated Campus Agreement
  • Department level participation purchase
  • Pricing based on UC volume
  • Multiple subscription periods
  • Desktop/Laptops
  • Focus on minimum machine and support
    specifications
  • Multiple vendor
  • Sweet spot pricing
  • Configuration and distribution through vendor

39
A Developing Perspective - The IT Technology
Stack in four Quadrants Application and Data
Services IT Infrastructure Services in relation
to Institutional and Local Drivers
Institutional
Local
Regional
Institutional Processes Integrated or Shared
Applications Data
Local Processes Local Applications, Shared
Application Extensions Data
Institutionally Provisioned Shared
Infrastructure (Central or Blended)
Locally Provisioned Unique Infrastructure (Decentr
alized or Blended)
39
40
Embracing Local Autonomy Institutional
Involvement
  • Great value in IT deployment autonomy
  • AND
  • Great value in operating in enterprise connected
    and percolated environment
  • LEADS TO
  • The Co-construction of Autonomy and Community
  • IT deployment responsibility and accountability
    jointly held by institutional and local service
    units

41
We have already been integrating application and
data services and blending IT infrastructure
services
Institutional
Local
Regional
RESEARCHINSTRUMENTS
Enrollment
Cyber Enabled Learning and Collaboration
CI-Enabled Research
PAYROLL
DATA WAREHOUSE, REPORTING MARTS
IDENTITY MANAGEMENT
COMPUTATIONAL RESEARCH STORAGE
DISASTER RECOVERY
MICROSOFT PURCHASE AGREEMENT
KST MACHINE PURCHASE AGREEMENT
EXPERIMENTAL NETWORK
SHARED DATA CENTERS
CAMPUS WIRELESS SERVICES
CLASSIFIED RESEARCH CENTER
EMPLOYEE EMAIL SERVICES
CAMPUS BACKBONES
VOIP
41
CAMPUS NETWORK SERVICES
42
Real Governance not Committees
  • Prioritization Designation (which column)
  • Operational oversight of institutional/local
    interdependence
  • Service provisioning

43
  • The three ticks against CAO/CSG Joint
    Committee, CAOs and Campus IT Directors reflect
    our expectation that we will work in sub- groups
    or determine on a project-by-project which groups
    should be used. V21-P1133-03-09-06

44
Office of Information Technology(the sphere of
influence)
Management Campus IT Governance, Planning,
Budget Processes
Credibility Neutrality OIT Reporting Lines
Partnerships/ Relationships
Campus IT Policy
Campus Program Funds Management
IT Service Security Operations
45
Visible TaxationTechnology Fee for Shared
Infrastructure
  • Internal charge to each unit based on FTE
  • Common good infrastructure services
  • Content and rates determined by campus governance
    process
  • Charge is mandated but participation in services
    is not
  • Visible
  • Establishes baseline services for all units
  • Incentive for using
  • Drives campus scrutiny on what is and is not
    common good
  • Increases pressure on quality of
    cost/benefit/quality of delivered services
  • Incentive for careful analysis to local needs
  • Preserves autonomy
  • Focuses resources on frontline support

46
Programmatic IT and IT infrastructure at UCLA
ITPB OIT
FCET, IDRE CSG
CITI CSG
UCLA Anytime Anywhere
Business Processes
IT Leadership and Innovation
Research
Instructional
Applications
Infrastructure
Infrastructure
Digital Citizens
IT Institutional Asset
Information Technology Program Facing
Information Technology Internal Facing
Research, Education, Decision-Making
47
MT and IT Governance in Harmony at Disneyand it
seems to be working well!
Alignment Team
Media Technology Board
CIO Board
Media Asset Management
Product Requirements
Business Processes
Media Security/DRM
Media Strategy
Production Operations
Applications
Infrastructure
Media Transport
High Definition Video
Media Technology Product Facing
Information Technology Internal Facing
Product Development Creative
48
Capturing the Principles to Co-construct Autonomy
and Community
  • PerColated R E Environment
  • Greatly expanding collaboration, scholarly
    interaction and access to resource
  • for individual pursuit
  • Inverting IP
  • The value and impact of sharing exceeds the value
    of owning it
  • Coordinated Autonomy
  • Co-existence of institutional and local
    deployment structures for maximum local autonomy
    and maximum institutional effectiveness - shared
    responsibility and coordinated accountability
  • Layering
  • Locally managed service components on top of
    institutional service components
  • to form a complete service
  • Sweet Spot
  • The balance point when distributed and
    institutional infrastructure resonates
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