1. Database Research Overview Database Systems R&D Center Dept. of Computer & Information Science & Engineering College of Engineering University of Florida

2. Database Research & Development Center University center affiliated with the Department of Computer & Information Science & Engineering –Funded entirely through research grants brought in by participating faculty Members –Faculty: Stanley Su (Director), Joachim Hammer, Abdelsalam Helal, Herman Lam (ECE Dept.), Markus Schneider, Chris Jermaine –Researchers & Visitors: Wan Sup Cho, Yihua Huang –Students: ~10 Ph. D., ~30 M.S. and undergraduates (senior project) –Staff: Secretary and system administrator

3. DB Center Facilities Separate lab space in CSE building 100 Mbps fiber optics LAN, fiber connections to Dept. network and campus-wide backbone –30 Pentium-based NT Workstations –3 multi-processor file/compute servers (NT Server) –5 SUN Ultra, IBM RS6000 UNIX workstations connected to Dept. network Access to IBM RS6000/SP (IBM SUR grant) –10 nodes, 24 CPUs, 1GB RAM/node, 216GB RAID array Wide variety of state-of-the-art software and development tools

4. Areas of Expertise Active (rule-based) database management systems Cooperative information systems, information workflow, and information brokering Information management support for B2B e-commerce Database systems for semistructured data and XML Data warehousing and decision support Data transformation and integration Knowledge extraction from legacy systems Mobile database systems incl. advanced synchronization protocols Spatial, spatio-temporal, and fuzzy databases Applied Computational Geometry

5. Technologies & Prototypes (by Area and Faculty) Internet-based Knowledge Network (Su, Lam) Event specification, filtering and notification Event-Trigger-Rule Server for processing triggers and rules Constraint-based Web-service Broker and Composite Web- service Discovery and Execution (Su, Lam) Constraint Satisfaction Processing Server Cost-benefit Evaluation Server Web Service Flow Engine Workflow Management (Su, Helal, Lam) Dynamic Workflow Management Server E-Services and Internet Workflow Server

6. E1E2 R1 R2 F1 ETR Server Event Server KPM Publish Events, Rules E1, E2, R1, R2 User A Knowledge Web Server A E1 R3 ETR Server Event Server Publish Events, Rules KPM User B F2 E2 R4 ETR Server Event Server Publish Events, Rules KPM User C Knowledge Web Server BKnowledge Web Server C Event Trigger Rule Filter INTERNET Provider Subscriber IKnet

7. Constraint-based Broker, and Composite Service Discovery and Execution Internet Service Provider … Constraint- based Broker Query Processor Service Composer WSFL Generator WSF Engine Intelligent Registry

8. Process Model in DynaFlow BE AE EE

9. Internet ISEE Hub Broker Server ISEE Hub E-Services E-Service Adapter Organization 3Organization 2 Organization 1 Workflow ServerBroker Proxy ETR ServerEvent ServerWeb Server E-Services E-Service Adapter E-Services E-Service Adapter E-Services E-Service Adapter Organization 4 Architecture of DynaFlow Workflow ServerBroker Proxy ETR ServerEvent ServerWeb Server Workflow ServerBroker Proxy ETR ServerEvent ServerWeb Server

10. Technologies & Prototypes (by Area and Faculty) Heterogeneous Information Management (Hammer, Schmalz, Colleagues from CoE) Need for decision/negotiation support to improve performance and customization across extended business networks Scalable Extraction of Enterprise Knowledge from legacy sources (SEEK Project) Development of a modular toolkit that allows the rapid, (semi-)automatic instantiation of value-added, firm- specific intermediaries http://www.dbcenter.cise.ufl.edu/seek/

11. Technologies & Prototypes (by Area and Faculty) Data Warehousing and Decision Support (Hammer, Jermaine) New data cube model and server for efficient evaluation of complex decision support queries Data Cubing with Statistics Trees (CuBiST Project) Methods for statistical modeling of DW data Allow fast, approximate query answering Query the model, not the data! Design of scalable (multi-TB) storage architectures Developing algorithms and computational theory to support automatic information extraction from a DW

12. Technologies & Prototypes (by Area and Faculty) Database Support for Ubiquitous Computing (Hammer, Helal) Any time, any where access to data (UbiData Project) Support automatic hoarding of data from multiple, heterogeneous sources into a variety of mobile devices New synchronization protocols for resolving discrepancies in data sets in light of different connection characteristics (weakly connected, disconnected, …) http://www.harris.cise.ufl.edu/projects/ubidata/

13. Technologies & Prototypes (by Area and Faculty) Spatial and Spatio-Temporal Database Systems (Schneider) Spatial and spatio-temporal data modeling, predicates, query languages, and databases (“moving objects”) Data structures for spatial and spatio-temporal objects and efficient geometric algorithms for spatial and spatio- temporal operations (applied computational geometry) Topological relationships Fuzzy spatial databases Static and dynamic spatial partitions and graphs (networks) in database systems

14. Recent Projects National industrial information infrastructure protocols (Su, Lam) – Funded by DARPA Extended enterprise consortium for integrated collaborative manufacturing systems (Su, Lam, Hammer) – Funded by NIST Advanced technologies to support internet-based scalable e- business enterprises (Su, Lam, Bai (ISE)) – Funded by NSF Internet-based bio-knowledge network for supporting genomic research and medicine (Zhou, Su) – Funded by UF Theories and methodologies to support operation of flexible production networks (Hammer, Schmalz, colleagues from CoE) – Funded by NSF

15. Recent Projects (cont’d) Integration and management of heterogeneous, Internet-based information sources (Hammer, Fishwick) – Funded by DoD (Army) Efficient processing of analytical queries in large data warehouses (Hammer) Ubiquitous data access for mobile devices (Helal, Hammer) – Funded by NSF Transnational Digital Government (Fortes, Su, et. al) – Funded by NSF Genomics Algebra: A New, Integrating Data Model, Language, and Tool for Genomics Data Analysis (Hammer, Schneider, and colleagues from ICBR) – Funding pending