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 Sciences Florida International University Miami, FL, USA

Roadmap Motivation BCIN System Overview Collaborators & Acknowledgements Related Work Conclusions – Future Work 6/28/20152School of Computing and Information Sciences Florida International University

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 6/28/20153School of Computing and Information Sciences Florida International University

Motivation (cont’d) - 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 6/28/20154School of Computing and Information Sciences Florida International University

Motivation (cont’d) - 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/Recovery 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, s etc. 6/28/20155School of Computing and Information Sciences Florida International University

Roadmap Motivation BCIN System Overview Collaborators & Acknowledgements Related Work Conclusions – Future Work 6/28/20156School of Computing and Information Sciences Florida International University

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 6/28/20157School of Computing and Information Sciences Florida International University

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 6/28/20158School of Computing and Information Sciences Florida International University

BCIN Model 6/28/20159School of Computing and Information Sciences Florida International University

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 6/28/201510School of Computing and Information Sciences Florida International University

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 1.Disaster Management Dataspace 2.Disaster Recovery Resources Identification 3.Situation Awareness 4.Dynamic Contact Management 5.Intelligent Decision Support 6/28/201511School of Computing and Information Sciences Florida International University

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 6/28/201512School of Computing and Information Sciences Florida International University

1. Disaster Management Dataspace 6/28/201513School of Computing and Information Sciences Florida International University Data Acquisition, Ingest and Organization Architecture

2. Disaster Recovery Resources Identification Identifies disaster preparation and recovery resources around user’s local area Utilizes user’s profile information Employs algorithms for identifying Most Requested and Recently Posted Items Utilizes Google Maps API 6/28/201514School of Computing and Information Sciences Florida International University

2. Disaster Recovery Resources Identification 6/28/201515School of Computing and Information Sciences Florida International University

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 6/28/201516School of Computing and Information Sciences Florida International University

3. Situation Awareness 6/28/201517School of Computing and Information Sciences Florida International University Red “X” indicates closure. Check marks indicate open. Time indicates the expected closure of the infrastructure/service

3. Situation Awareness 6/28/201518School of Computing and Information Sciences Florida International University 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/infrastructure Red circles indicate Massive Damage Blue circles indicate Flooding

3. Situation Awareness 6/28/201519School of Computing and Information Sciences Florida International University 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

3. Situation Awareness 6/28/201520School of Computing and Information Sciences Florida International University BCIN Post-Disaster Situation Awareness for Banks open/close status in Miami-Dade county. Red ellipses indicate closed while Green ellipses indicate open.

4. Dynamic Contact Management 6/28/201521School of Computing and Information Sciences Florida International University 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

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) 6/28/201522School of Computing and Information Sciences Florida International University

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 AT&T Wireless Broadband Connections State Funded Mobile Wireless Access Distribution Vehicles (under preparation) 6/28/201523School of Computing and Information Sciences Florida International University

Roadmap Motivation BCIN System Overview Collaborators & Acknowledgements Related Work Conclusions – Future Work 6/28/201524School of Computing and Information Sciences Florida International University

Collaborators & Acknowledgements 6/28/201525School of Computing and Information Sciences Florida International University Beckman Coulter Florida First (Florida’s 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

Roadmap Motivation BCIN System Overview Collaborators & Acknowledgements Related Work Conclusions – Future Work 6/28/201526School of Computing and Information Sciences Florida International University

Related Work (1) Siegrist, D “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 s Information sharing among government agencies only Mostly effective under pre-disaster conditions 6/28/201527School of Computing and Information Sciences Florida International University

Related Work (2) Schooley, B., Marich, M., and Horan, T “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 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 6/28/201528School of Computing and Information Sciences Florida International University

Related Work (3) Agrawal, P., Rauschert, I., et.al “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, 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 6/28/201529School of Computing and Information Sciences Florida International University

Roadmap Motivation BCIN System Overview Collaborators & Acknowledgements Related Work Conclusions – Future Work 6/28/201530School of Computing and Information Sciences Florida International University

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 /28/201531School of Computing and Information Sciences Florida International University

Thank You - Questions 6/28/201532School of Computing and Information Sciences Florida International University