Capturing, Managing and Using RFID Information RFID and Telecommunication  Services Workshop  May 25th, 2004 Allen Atwell ...
Why is RFID Hot Now? A Convergence of Developments Falling RFID  Tag Costs Global Numbering (EPC) and Catalogs (UCCNet) Ub...
Retail - Product Lifecycle Awareness Businesses with Intelligent Items Manufacturing plant Manufacturing DC Retail  DC Ret...
Another example : Healthcare <ul><li>Estimate shows about 100,000 people die every on year in US due to medication error. ...
Real-Time Enterprise Challenges Analyze Collect Respond Manage Access
Oracle Sensor-Based Services Applications Business Intelligence Business Process Monitoring Portal Alerts Database Applica...
Where is the Data Coming From ? Multiple point solutions are complex and costly  Temperature Moisture Cellular Magnetic Fi...
Manage RFID as part of unified approach … Single Platform, Flexible, Scalable, … Application Server Middleware Temperature...
… and “Edge” to “Intelligence” Integration Common support for range of events This presentation does not reflect a commitm...
Oracle Edge Services Fixed RFID Reader Handheld RFID Readers & Barcode Scanners Driver Framework Alien Enterprise Manager ...
Oracle Edge Services: Device Management
Managing Privacy & Security Cost of Adoption Point of Sale Retail Distribution Manufacturing Commercial Security Personal ...
Oracle E-Business Suite <ul><li>Immediate access to sensor-based information and intelligence throughout the supply networ...
Oracle Sensor-Based Services Enabling the Real-Time Enterprise
About Oracle … <ul><li>Oracle (NASDAQ: ORCL) is the world’s largest enterprise software company </li></ul><ul><li>Oracle h...
 
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RFID_12 Allen Atwell_Oracle.ppt

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  • HTTP Post  Knee Jerk Reaction Want to determine event based on not just last 5 seconds, but over past month. Based on same set of data, want multiple consumers (different criteria for events). Hence, throw it in the queue and archive in Sensor Data Hub AS has interface layer on top of SDH  EPCIS
  • Mobile Deployments Today: Each application type is supported by specialized infrastructure. To support 6 access modes, requires 6 sets of hardware, software and labor expertise to run these systems. Expensive: Need to train 6 sets of system administrators on 6 different systems on 6 different dedicated sets of hardware resources. Inflexible: Applications are tightly coupled to hardware. Resources cannot be shared, and hence cannot scale up/down to meet demand. Underutilized Resources During low access volumes, dedicated servers are minimally used. Cannot allocated resources for other transactions with occasional high volumes (e.g. notifications) Obtaining complete &amp; accurate information is hard (data consolidation, portal, and integration messages) Provisioning users and applications is complex and expensive Systems: really cost of HW and labor, plus reliability Apps: complexity, fragmentation, inflexibility (question about how big a ‘hook’ we need and whether it distracts too much from core Grid positioning) Obtaining complete &amp; accurate information is hard Key differentiators: Focusing on Enterprise Grids, data center, cluster, RAC, hardware; focus on increasing resource utilization, 3 rd reduce incremental cost thru scaling with small boxes, like workload mgmt based on business processes all around (order-2-cash has priority over procure-2-pay – getting my money more important than paying my suppliers?)  leads into SOA/apps message Grid: High utilization, workload mgmt, provisioning Cluster: HA Inflexible means I can’t get my work done, not sufficiently responsive to business environment, changes App. Inflexibility discussion will later open up to BPM, Web services ----- Hardware is expensive yet underutilized Web store overloaded during the day, while high-end general ledger and BI systems sit mostly idle Hardware is expensive yet underutilized Lots of wasted capacity because systems are statically provisioned for peak loads, with very limited resource sharing. This, coupled with naturally dynamic demand leads to significant wasted capacity. For example, you web store front is hit hard during ‘normal business hours’, so why is ‘excess’ computing power ‘locked’ up by nearly idle but expensive and high-end general ledger or BI systems? The problem is that provisioning is a difficult and time-consuming manual process for administrators, who cannot compensate/adjust to changing conditions/demands in real-time. Plus, most of today’s infrastructure and applications are not flexible enough to be more efficient, automatically/dynamically allocating resources to meet varying demand Applications are fragmented and inflexible Difficult to obtain complete and accurate information in real-time: how do you comply with recent regulatory requirements? How do you even run your business effectively with incomplete and inaccurate information? Limited reuse of application functionality: Poor interoperability and limited reuse of application functionality means lots of duplicated effort and cost. With the recent pressure on costs, this is an extremely urgent architectural issue (getting more from existing infrastructure by using it more efficiently – ‘get more, spend less’) User provisioning: Provisioning users and applications for multiple poorly connected systems with multiple locations and administrative domains is complex and expensive to integrate and manage (any statistics about how huge Data Center Labor Costs are?) – IDs, privileges, preferences, etc. complex to manage. However, competition for scarce customers is forcing companies to continue to improve the responsiveness and quality of their services: need to improve integration of systems and efficiency/automation of business processes in order to provide better and faster service to customers while still controlling costs (can include anecdote of poor service commonly experienced, such as calling some customer service call center and getting transferred four times to different departments, have to give your name, SSN, address, customer number, order number, etc. four different times) (NOTE: you may relate these 3 challenges with some ‘current issues’ like the weak economy putting pressure on costs or the recent emphasis on regulatory compliance, but make sure to stress that Grid Computing is not a flash-in-the-pan, or only useful when times are tough) ----- 70 percent of IT dollars spent on sustaining and running/maintaining existing systems. IT budgets are weighted toward maintaining existing capabilities rather than taking advantage of new opportunities (what’s the source for this?) Application Platforms are increasingly computing and Data intensive, and have Complex staging requirements Outsourcing has become feasible ( service providers of various sorts) Operations are an afterthought in application design today. developers don&apos;t have an easy way to describe their application&apos;s characteristics and needs for the data center.IT managers lack the required tools to help them drive IT requirements back into development . There is no way of dynamically discovering the usage and utilizing the underutilized resources at an enterprise level. In a typical enterprise only 10% or computing resources are utilized.In a typical Data center only 25-30% resources are utilized. Data Chaos (i) : Numerous or large data sources;(ii)Data updated frequently and on different schedules;(iii)Accessed by users at multiple locations in different organizations Increased Computational Load (i) Compute intensive and high-throughput applications ;(ii)Spikes in demand for computing power; (iii)Complex staging requirements Supporting Distributed and Virtual Organizations (i) Heterogeneous information technology resources ;(ii)Multiple locations and administrative domains;(iii)Frequently changing requirements and system failures The explosion in data means there are now many data sources some of which may be very large, they are updated frequently, accessed by multiple users who might be in many organizations across many locations. Adding to the chaos, the same file may have different names as it is used by different people at different times. There are now more compute-intensive and high-throughput analyses that often cause spikes in computing demand or additional equipment to be required. The increase in distributed and virtual organizations – with in company or across companies – has caused heterogeneous pools of IT resources that are often in different locations with different administrative domains. The sharing of resources is complicated by the fact that captured in those resources is significant intellectual property that can only be accessed by specified individuals and groups. There are also many legacy applications that may or may not have associated source code… and commercial applications with different licensing restrictions. Requirements changes as groups change or projects move through life cycles. And finally, as more and more systems are added to the network, there are more system failures. ----- DEPLOYING AND MANAGING RELIABLE/HIGH QoS SYSTEMS IS EXPENSIVE low cost HW, but then how to manage? How to get optimal QoS out of this collection of low-cost commodity parts? High deployment AND MANAGEMENT costs?
  • Lower Cost with Greater Access Options Obtaining complete &amp; accurate information is hard (data consolidation, portal, and integration messages) Provisioning users and applications is complex and expensive Systems: really cost of HW and labor, plus reliability Apps: complexity, fragmentation, inflexibility (question about how big a ‘hook’ we need and whether it distracts too much from core Grid positioning) Obtaining complete &amp; accurate information is hard Key differentiators: Focusing on Enterprise Grids, data center, cluster, RAC, hardware; focus on increasing resource utilization, 3 rd reduce incremental cost thru scaling with small boxes, like workload mgmt based on business processes all around (order-2-cash has priority over procure-2-pay – getting my money more important than paying my suppliers?)  leads into SOA/apps message Grid: High utilization, workload mgmt, provisioning Cluster: HA Inflexible means I can’t get my work done, not sufficiently responsive to business environment, changes App. Inflexibility discussion will later open up to BPM, Web services ----- Hardware is expensive yet underutilized Web store overloaded during the day, while high-end general ledger and BI systems sit mostly idle Hardware is expensive yet underutilized Lots of wasted capacity because systems are statically provisioned for peak loads, with very limited resource sharing. This, coupled with naturally dynamic demand leads to significant wasted capacity. For example, you web store front is hit hard during ‘normal business hours’, so why is ‘excess’ computing power ‘locked’ up by nearly idle but expensive and high-end general ledger or BI systems? The problem is that provisioning is a difficult and time-consuming manual process for administrators, who cannot compensate/adjust to changing conditions/demands in real-time. Plus, most of today’s infrastructure and applications are not flexible enough to be more efficient, automatically/dynamically allocating resources to meet varying demand Applications are fragmented and inflexible Difficult to obtain complete and accurate information in real-time: how do you comply with recent regulatory requirements? How do you even run your business effectively with incomplete and inaccurate information? Limited reuse of application functionality: Poor interoperability and limited reuse of application functionality means lots of duplicated effort and cost. With the recent pressure on costs, this is an extremely urgent architectural issue (getting more from existing infrastructure by using it more efficiently – ‘get more, spend less’) User provisioning: Provisioning users and applications for multiple poorly connected systems with multiple locations and administrative domains is complex and expensive to integrate and manage (any statistics about how huge Data Center Labor Costs are?) – IDs, privileges, preferences, etc. complex to manage. However, competition for scarce customers is forcing companies to continue to improve the responsiveness and quality of their services: need to improve integration of systems and efficiency/automation of business processes in order to provide better and faster service to customers while still controlling costs (can include anecdote of poor service commonly experienced, such as calling some customer service call center and getting transferred four times to different departments, have to give your name, SSN, address, customer number, order number, etc. four different times) (NOTE: you may relate these 3 challenges with some ‘current issues’ like the weak economy putting pressure on costs or the recent emphasis on regulatory compliance, but make sure to stress that Grid Computing is not a flash-in-the-pan, or only useful when times are tough) ----- 70 percent of IT dollars spent on sustaining and running/maintaining existing systems. IT budgets are weighted toward maintaining existing capabilities rather than taking advantage of new opportunities (what’s the source for this?) Application Platforms are increasingly computing and Data intensive, and have Complex staging requirements Outsourcing has become feasible ( service providers of various sorts) Operations are an afterthought in application design today. developers don&apos;t have an easy way to describe their application&apos;s characteristics and needs for the data center.IT managers lack the required tools to help them drive IT requirements back into development . There is no way of dynamically discovering the usage and utilizing the underutilized resources at an enterprise level. In a typical enterprise only 10% or computing resources are utilized.In a typical Data center only 25-30% resources are utilized. Data Chaos (i) : Numerous or large data sources;(ii)Data updated frequently and on different schedules;(iii)Accessed by users at multiple locations in different organizations Increased Computational Load (i) Compute intensive and high-throughput applications ;(ii)Spikes in demand for computing power; (iii)Complex staging requirements Supporting Distributed and Virtual Organizations (i) Heterogeneous information technology resources ;(ii)Multiple locations and administrative domains;(iii)Frequently changing requirements and system failures The explosion in data means there are now many data sources some of which may be very large, they are updated frequently, accessed by multiple users who might be in many organizations across many locations. Adding to the chaos, the same file may have different names as it is used by different people at different times. There are now more compute-intensive and high-throughput analyses that often cause spikes in computing demand or additional equipment to be required. The increase in distributed and virtual organizations – with in company or across companies – has caused heterogeneous pools of IT resources that are often in different locations with different administrative domains. The sharing of resources is complicated by the fact that captured in those resources is significant intellectual property that can only be accessed by specified individuals and groups. There are also many legacy applications that may or may not have associated source code… and commercial applications with different licensing restrictions. Requirements changes as groups change or projects move through life cycles. And finally, as more and more systems are added to the network, there are more system failures. ----- DEPLOYING AND MANAGING RELIABLE/HIGH QoS SYSTEMS IS EXPENSIVE low cost HW, but then how to manage? How to get optimal QoS out of this collection of low-cost commodity parts? High deployment AND MANAGEMENT costs?
  • The great breakthrough for Oracle is the ability to store the management information along with transaction information. This provides the immediate access and drilldown that everyone is looking for. Oracle aggregates and provides access information completely differently than its competitors.
  • Oracle is proud to announce Oracle 10g – a new platform providing a responsive software infrastructure for grid computing.
  • RFID_12 Allen Atwell_Oracle.ppt

    1. 1. Capturing, Managing and Using RFID Information RFID and Telecommunication Services Workshop May 25th, 2004 Allen Atwell Vice President, EMEA Telecom & Wireless, Oracle
    2. 2. Why is RFID Hot Now? A Convergence of Developments Falling RFID Tag Costs Global Numbering (EPC) and Catalogs (UCCNet) Ubiquitous Connectivity Supply Chain Collaboration VMI and Consignment XML Messaging Technology/Standards Enablement Business Process Evolution Broad-Based RFID Market Interest Compliance Initiatives Wal-Mart, DoD, Metro, Tesco, JC Penney, Albertsons…
    3. 3. Retail - Product Lifecycle Awareness Businesses with Intelligent Items Manufacturing plant Manufacturing DC Retail DC Retail Warehouse – Retail Store Consumer Degree of Collaboration <ul><li>Labor Savings </li></ul><ul><li>Automated data collection with RFID tags/readers. </li></ul><ul><li>Increased product handling efficiency. </li></ul><ul><li>Supply Visibility </li></ul><ul><li>Accurate, real-time inventory visibility. </li></ul><ul><li>Inventory location. </li></ul><ul><li>Inventory history. </li></ul><ul><li>Demand Visibility </li></ul><ul><li>Quantity and frequency of product purchases. </li></ul><ul><li>Date, time and locations of purchases. </li></ul><ul><li>Product Intelligence </li></ul><ul><li>Analysis of aggregate data over time. </li></ul><ul><li>Supply trends. </li></ul><ul><li>Demand trends. </li></ul><ul><li>Key performance indicators. </li></ul>Increasing Benefits
    4. 4. Another example : Healthcare <ul><li>Estimate shows about 100,000 people die every on year in US due to medication error. (source Institute of Medecin, Washington DC) </li></ul><ul><li>Experiments using RFID wristband for patients show a 86.6 % reduction in medication errors (US Veterans Health Administration, 173 facilities, 2002/2003) </li></ul><ul><li>Hospital assets management through RFID and Mobile devices allows control of asset and costs limitation </li></ul>
    5. 5. Real-Time Enterprise Challenges Analyze Collect Respond Manage Access
    6. 6. Oracle Sensor-Based Services Applications Business Intelligence Business Process Monitoring Portal Alerts Database Application Server Scalable Data Archive, Aggregration, Dissemination Security, Integration, Developtiont Tools Event Sources Edge Server Sensors, RFID, System Events Data Collection, Cleansing, Dispatch MANAGE Grid Infrastructure Event Storage and Distribution ANALYZE Business Processes E-Business Suite Embedded Analytics Event-Based Architecture ACCESS Information Access/ Visibility Unified Workspace Real-Time Collaboration Responsive Enterprise CAPTURE RESPOND
    7. 7. Where is the Data Coming From ? Multiple point solutions are complex and costly Temperature Moisture Cellular Magnetic Field RFID US RFID-Enabled Applications RFID Asia
    8. 8. Manage RFID as part of unified approach … Single Platform, Flexible, Scalable, … Application Server Middleware Temperature Moisture Cellular Magnetic Field RFID US RFID-Enabled Applications RFID Asia This presentation does not reflect a commitment to deliver. Product directions can be modified without explicit notice.
    9. 9. … and “Edge” to “Intelligence” Integration Common support for range of events This presentation does not reflect a commitment to deliver. Product directions can be modified without explicit notice. Visibility Layer: Portals, BAM & BI Portal Alerts Middleware & Applications Application Server 10g Applications BPM Event Sources Sensors System Events RFID Event Storage & Distribution 10g Database Streams AQ
    10. 10. Oracle Edge Services Fixed RFID Reader Handheld RFID Readers & Barcode Scanners Driver Framework Alien Enterprise Manager Device Manager Filter Manager LED Displays & Alarms EMS FEIG Intermec Matrics Zebra Other Data Dispatcher Streams/AQ JMS Web Services HTTP Other/Custom Filter Framework Base CrossRead Pass PalletPass Shelf PalletShelf Other PL/SQL, Other Queues, AQ/JMS, etc JMS Client Web Services (WSDL) Servlet, JSP, etc Custom Applications Development Kit RFID Printers
    11. 11. Oracle Edge Services: Device Management
    12. 12. Managing Privacy & Security Cost of Adoption Point of Sale Retail Distribution Manufacturing Commercial Security Personal Privacy <ul><li>Broad adoption at POS is in the future </li></ul><ul><ul><li>Need standards, education and shared value proposition </li></ul></ul><ul><ul><li>Service has good value proposition, but also privacy concerns </li></ul></ul><ul><li>Important current concern is Commercial Security </li></ul><ul><ul><li>Syndication - Who has access to which data? </li></ul></ul><ul><li>Becomes most critical with open-loop systems </li></ul><ul><li>With 10g, Oracle’s VPD offers row level access control and masking, independently from the application </li></ul>Item / Shelf Pallet / Dock Doors
    13. 13. Oracle E-Business Suite <ul><li>Immediate access to sensor-based information and intelligence throughout the supply network </li></ul>Develop Market Sell Order Plan Procure Make Fulfill Service Maintain Finance Projects HR Customers Products Sensors
    14. 14. Oracle Sensor-Based Services Enabling the Real-Time Enterprise
    15. 15. About Oracle … <ul><li>Oracle (NASDAQ: ORCL) is the world’s largest enterprise software company </li></ul><ul><li>Oracle has capabilities to support RFID in its Applications, Application Server and Database products </li></ul><ul><li>For more information about Oracle, visit our Web site at rfid .us.oracle.com </li></ul>

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