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Rich Feeds
Policy, the Cloud, and CAP
Barry Demchak
California Institute for Telecommunications and Information Technology (Calit2)
June 18, 2008
Overview
• Problems (RESCUE)
– Research data feeds accessible over time
– Needs for particular feeds cannot be
predicted
– Future restrictions and constraints can’t be
anticipated
• Objectives (RESCUE)
– Capture Research Data Feeds
– Expose Datasets
– Remain Flexible and Extensible
User View and Status
• Today’s Data Feeds
– Traffic
– Trackable Objects
– UCSD Police Cameras
– CalIT2 Cameras
– Situation Aware
• Today’s Visualizations
– Google Maps
Current Goals
• Empower Additional Providers
• Enable Selective Information Dissemination
• Scale to Dynamic Need
Current Goals
• Empower Additional Providers
– Allow Owners to
– Define dataset
– Define provider and privileges
– Define consumer and privileges
– Allow Providers to
– Contribute data
– Define consumer and privileges
• Enable Selective Information Dissemination
• Scale to Dynamic Need
Current Goals
• Empower Additional Providers
• Enable Selective Information Dissemination
– Allow Consumers to
– Fetch data
– Restrict data based on data or provider attributes (e.g.,
reputation)
• Scale to Dynamic Need
Current Goals
• Empower Additional Providers
• Enable Selective Information Dissemination
• Scale to Dynamic Need
– Data capacity
– Incoming data bandwidth
– Query bandwidth
Amazon Web
Services (AWS)
S3 – Simple
Storage Service
EC2 – Elastic
Compute Cloud
Current Logical Architecture
Logical Architecture w/Policy
• Policies – the key to empowerment
• Owner – Who can store data, who can read data
• Producer – Who can read data
• Consumer – Which providers to view
Physical Deployment
• Currently
– Windows Server 2003
– WinXP VM w/Mule, MySQL
• Cloud
– Amazon Servers
– Linux VM w/Mule,
MySQL,Apache/Tomcat
RESCUE Virtual Machine
Traffic
Server
Tracked
Object
Server
Browser,
Javascript,
Google Maps
Internet
Physical Machine
Other VMs
Non-
RESCUE
clients
Current Goals
• Empower Additional Providers
• Enable Selective Information Dissemination
• Scale to Dynamic Need
• Common Alert Protocol (CAP)
– Standard disaster alert format based on XML
– Currently used as interchange format
• CAP Server
– Always on
– Quickly scalable
– Provider-driven
– Opportunity for consumer-grade viewers
(e.g., Google Maps, Twitter, SMS, etc)

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Rich feeds policy, the cloud, and CAP

  • 1. Rich Feeds Policy, the Cloud, and CAP Barry Demchak California Institute for Telecommunications and Information Technology (Calit2) June 18, 2008
  • 2. Overview • Problems (RESCUE) – Research data feeds accessible over time – Needs for particular feeds cannot be predicted – Future restrictions and constraints can’t be anticipated • Objectives (RESCUE) – Capture Research Data Feeds – Expose Datasets – Remain Flexible and Extensible
  • 3. User View and Status • Today’s Data Feeds – Traffic – Trackable Objects – UCSD Police Cameras – CalIT2 Cameras – Situation Aware • Today’s Visualizations – Google Maps
  • 4. Current Goals • Empower Additional Providers • Enable Selective Information Dissemination • Scale to Dynamic Need
  • 5. Current Goals • Empower Additional Providers – Allow Owners to – Define dataset – Define provider and privileges – Define consumer and privileges – Allow Providers to – Contribute data – Define consumer and privileges • Enable Selective Information Dissemination • Scale to Dynamic Need
  • 6. Current Goals • Empower Additional Providers • Enable Selective Information Dissemination – Allow Consumers to – Fetch data – Restrict data based on data or provider attributes (e.g., reputation) • Scale to Dynamic Need
  • 7. Current Goals • Empower Additional Providers • Enable Selective Information Dissemination • Scale to Dynamic Need – Data capacity – Incoming data bandwidth – Query bandwidth Amazon Web Services (AWS) S3 – Simple Storage Service EC2 – Elastic Compute Cloud
  • 9. Logical Architecture w/Policy • Policies – the key to empowerment • Owner – Who can store data, who can read data • Producer – Who can read data • Consumer – Which providers to view
  • 10. Physical Deployment • Currently – Windows Server 2003 – WinXP VM w/Mule, MySQL • Cloud – Amazon Servers – Linux VM w/Mule, MySQL,Apache/Tomcat RESCUE Virtual Machine Traffic Server Tracked Object Server Browser, Javascript, Google Maps Internet Physical Machine Other VMs Non- RESCUE clients
  • 11. Current Goals • Empower Additional Providers • Enable Selective Information Dissemination • Scale to Dynamic Need • Common Alert Protocol (CAP) – Standard disaster alert format based on XML – Currently used as interchange format • CAP Server – Always on – Quickly scalable – Provider-driven – Opportunity for consumer-grade viewers (e.g., Google Maps, Twitter, SMS, etc)

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