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Towards a Business Continuity Information Network for Rapid Disaster Recovery

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Towards a Business Continuity Information Network for Rapid Disaster Recovery Khalid Saleem, Steven Luis, Yi Deng, Shu-Ching Chen, Vagelis Hristidis, Tao Li – PowerPoint PPT presentation

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Title: Towards a Business Continuity Information Network for Rapid Disaster Recovery


1
Towards a Business Continuity Information Network
for Rapid Disaster Recovery
  • Khalid Saleem, Steven Luis, Yi Deng, Shu-Ching
    Chen, Vagelis Hristidis, Tao Li
  • School of Computing and Information
    SciencesFlorida International University
  • Miami, FL, USA

2
Roadmap
  • Motivation
  • BCIN System Overview
  • Collaborators Acknowledgements
  • Related Work
  • Conclusions Future Work

3
Motivation
  • Businesses can incur heavy Financial losses due
    to
  • Natural Calamities Hurricanes,
    Earthquakes,Tornadoes
  • Terrorist Attacks
  • Absence of effective Crisis Management and
    Disaster Recovery tools/resources hinders
  • Rapid Disaster Recovery
  • Business Continuity
  • Small and Medium size business are affected the
    most
  • Such businesses make a significant contribution
    to local and state economy

4
Motivation (contd) - Facts
  • 80 of small and medium businesses that do not
    recover from disaster within a month likely to go
    out of business Bernstein 98
  • Businesses that do not recover within 10 days of
    the disaster are not likely to survive Fairbanks
    et al.
  • Most of small and medium businesses lack
    effective business continuity plans which can
    lead to a total failure within 3 years of a
    disaster for 75 of such businesses. Blythe
    02
  • Delayed Recovery can also affect large businesses
  • Delayed recovery and shutdowns cause revenue loss
    at the local, state and federal levels

5
Motivation (contd) - Need
  • Need for a comprehensive, business-oriented
    disaster preparedness and recovery information
    network that
  • Facilitates collaboration among emergency
    management officials and private businesses
  • Ensures availability of and access to time
    critical information
  • Limitation of current Disaster Preparedness/Recove
    ry methodologies
  • Only collaboration among local, state and federal
    agencies
  • No private businesses in the process
  • Delayed or limited access to time-critical
    information
  • Rely mostly on relatively older technologies
    Telephones, two-way radios, tele-text, emails
    etc.

6
Roadmap
  • Motivation
  • BCIN System Overview
  • Collaborators Acknowledgements
  • Related Work
  • Conclusions Future Work

7
BCIN Business Continuity Information Network
  • Model for effective collaboration among private
    business entities and government agencies for
    business continuity and rapid disaster recovery
  • Improves upon ideas presented by Palen and Liu,
    2007 Easily accessible, web based technological
    information pathways for information sharing
  • Designed in collaboration with business community
    and emergency operations centers in South Florida

8
Goals of BCIN Model
  • Create user-friendly, internet-based, information
    service
  • Provide businesses with timely disaster recovery
    information
  • Facilitate collaboration and information exchange
    with other businesses and government agencies
  • Enable intelligent decision support
  • Leverage latest advances in data integration,
    data mining, Web and GIS software technologies
  • Enable rapid recovery and reduce closure time

9
BCIN Model
10
Key Information Assisting business continuity and
disaster recovery
  • Critical Communications among
  • Affected Business Community
  • Outside Business Community
  • Local Emergency Operations Center
  • Non-Governmental Organizations and Media
  • Outside Government Agencies
  • Local Damage Assessment Damage assessment
    conducted by businesses and emergency management
    officials
  • Recovery Plan Execution Identification and
    Execution of recovery plans

11
BCIN System Specifics
  • Technologies
  • Asynchronous JavaScript and XML (AJAX) and Java
    Enterprise Edition (J2EE) for highly interactive
    web based interface
  • Google Maps API for embedding Geo-spatial data
  • PostGreSQL database systems
  • Focus on Hurricane Disaster Preparedness and
    Recovery across the South Florida Region
  • Key Components
  • Disaster Management Dataspace
  • Disaster Recovery Resources Identification
  • Situation Awareness
  • Dynamic Contact Management
  • Intelligent Decision Support

12
1. Disaster Management Dataspace
  • Acquire, ingest and organize data available in
    various formats from different sources
  • Pre/Post Strom information via Situation Reports
    and Incident Action Plans from Emergency
    Operations Center (doc, pdf)
  • Open/close status of emergency services,
    infrastructure (airports, seaports, bridges,
    roadways), power, public transportation, schools
    and hospitals (doc, xls)
  • Businesses and Non-Governmental Organizations
    Reports (xls, doc, pdf)
  • Bank and ATM branch opening/closing
  • Food and Grocery Store opening/closing
  • Gas stations opening/closings
  • Challenges for dynamic data acquisition,
    information extraction and organization

13
1. Disaster Management Dataspace
Data Acquisition, Ingest and Organization
Architecture
14
2. Disaster Recovery Resources Identification
  • Identifies disaster preparation and recovery
    resources around users local area
  • Utilizes users profile information
  • Employs algorithms for identifying Most Requested
    and Recently Posted Items
  • Utilizes Google Maps API

15
2. Disaster Recovery Resources Identification
16
3. Situation Awareness
  • Update Business Managers and Emergency Management
    Officials with information
  • Overall Location specific Crisis/Disaster
    conditions
  • Customizable pre/post disaster dashboards
  • Current setup provides pre/post hurricane related
    information
  • Dynamic data update and notification to users

17
3. Situation Awareness
Red X indicates closure. Check marks indicate
open. Time indicates the expected closure of the
infrastructure/service
18
3. Situation Awareness
Red circles indicate Massive Damage
Blue circles indicate Flooding
BCIN Post-Disaster Situation Awareness. Red X
indicates closure. Check marks indicate open.
Percentages indicate the overall availability or
open/closure status of services/resources/infrastr
ucture
19
3. Situation Awareness
BCIN Post-Disaster Situation Awareness with
Business recovery dashboard. Gas station icons
indicate gas stations within a 3 mile radius of
user defined assets. Information about gas
stations can be viewed through the information
window
20
3. Situation Awareness
BCIN Post-Disaster Situation Awareness for Banks
open/close status in Miami-Dade county. Red
ellipses indicate closed while Green ellipses
indicate open.
21
4. Dynamic Contact Management
Dynamic Contact Management Interface. Blue
Ellipse shows current location of a user. Profile
updates, latesreports and sent/received messages
are appended under each contact name
22
5. Intelligent Decision Support (In Preparation)
  • Assists business managers and emergency
    management officials in devising and executing
    preparation and recovery decisions
  • Utilizes overall conditions and information
    available from previous profiled data for their
    specified items/locations of interest
  • Can utilize Historic Storm Data for effective
    preparation against impending threats (Hurricane
    track and intensity, Damage information)

23
Infrastructure Considerations - Supporting BCIN
Post-Hurricane
  • Failover remote backup site in St. Louis,
    Missouri
  • Office Depot stores
  • Powered by Generators (if power unavailable)
  • Free cell-phone/battery charging for everyone
  • Free Internet Access via Wireless Access Points
    within the stores
  • Verizon and ATT Wireless Broadband Connections
  • State Funded Mobile Wireless Access Distribution
    Vehicles (under preparation)

24
Roadmap
  • Motivation
  • BCIN System Overview
  • Collaborators Acknowledgements
  • Related Work
  • Conclusions Future Work

25
Collaborators Acknowledgements
  • Beckman Coulter
  • Florida First (Floridas Financial Institutions)
  • Florida Power Light
  • Florida Research Consortium
  • Greater Miami Chamber of Commerce and its
    Technical Committee
  • Greyhound Lines, Inc.
  • IBM
  • Juan Caraballo
  • Miami-Dade Office of Emergency Management and
    Homeland Security (ESF-18 Committee)
  • Frank Reddish
  • Office Depot
  • Tom Serio
  • Palm Beach County Division of Emergency
    Management
  • Butch Truesdale
  • Ryder System, Inc.
  • South Florida Technology Alliance
  • Wal-Mart
  • The Quantum Group
  • VITAS

26
Roadmap
  • Motivation
  • BCIN System Overview
  • Collaborators Acknowledgements
  • Related Work
  • Conclusions Future Work

27
Related Work (1)
  • Siegrist, D. 2000. Advanced information
    technology to counter biological terrorism,
    SIGBIO Newsletter. 20, 2 (Aug. 2000), 2-7.
  • Used by US Defense Threat Reduction Agency (DTRA)
  • Utilizes sensor sites across different locations
    in USA for capturing potential bio-terror threats
  • Uses Information tools such as message boards and
    emails
  • Information sharing among government agencies
    only
  • Mostly effective under pre-disaster conditions

28
Related Work (2)
  • Schooley, B., Marich, M., and Horan, T. 2007.
    Devising an architecture for time-critical
    information services inter-organizational
    performance data components for emergency medical
    service (EMS), International Conference on
    Digital Government Research 2007
  • Provides a time critical information services
    framework in San Mateo county, CA
  • Involves collaboration among public/private
    entities
  • Utilizes multiple modes of communication and
    information exchange
  • Ineffective for effective information exchange
    under disaster conditions
  • Palen, L. and Liu, S. B. 2007. Citizen
    communications in crisis anticipating a future
    of ICT-supported public participation. SIGCHI
    Conference on Human Factors in Computing Systems
    2007).
  • Indicates persistent citizen communications under
    pre/post disaster conditions assists in
    information sharing
  • Communication methodologies include web based
    wikis, web logs and SMS text messaging

29
Related Work (3)
  • Agrawal, P., Rauschert, I., et.al. 2004.
    Multimodal interface platform for geographical
    information systems (GeoMIP) in crisis
    management, Conference on Multimodal interfaces
    2004
  • Utilizes GIS data and maps
  • Assists emergency management officials in taking
    necessary precautionary measures and disaster
    recovery actions
  • Lacks collaboration tools/techniques for
    effective information sharing and collaboration
    among businesses and emergency officials
  • SAHANA, http//www.sahana.lk
  • System for collaboration among emergency relief
    camps across South Asia
  • Supports GIS Maps and tracking information
    associated with missing persons
  • Lacks the model for effective collaboration among
    private businesses and government agencies

30
Roadmap
  • Motivation
  • BCIN System Overview
  • Collaborators Acknowledgements
  • Related Work
  • Conclusions Future Work

31
Conclusions, Future Work and Project Timeline
  • BCIN Facilitates communication and information
    sharing among businesses and emergency management
    community under disaster/crisis situations
  • Future Multimedia data, Intelligent Information
    Delivery, Decision Support
  • Project Timeline
  • 01/01/2009 Deliver Version 1
  • Guarantee performance, reliability and security
    for 1000 companies
  • 01/01/2010 Deliver Version 2
  • Utilize Cloud Computing
  • Service Oriented Architecture (SOA)
  • Support 10,000 companies
  • Current fund generating activities in
    collaboration with our partners aim at supporting
    BCIN through 2009

32
Thank You - Questions
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