Some Open Problems in Publish/Subscribe Networking - PowerPoint PPT Presentation

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Some Open Problems in Publish/Subscribe Networking

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Title: Publish/Subscribe Networking Results and Open Problems Author: David S. Rosenblum Last modified by: David S. Rosenblum Created Date: 3/30/2003 3:33:19 PM – PowerPoint PPT presentation

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Title: Some Open Problems in Publish/Subscribe Networking


1
Some Open Problems in Publish/Subscribe Networking
  • David S. Rosenblum
  • Chief Technology Officer
  • PreCache Inc.

2
Acknowledgments
  • Alexander L. Wolf
  • University of Colorado at Boulder
  • Antonio Carzaniga
  • University of Colorado at Boulder
  • PreCache Engineering Team

3
Background
4
Information-CentricInternet Applications
  • Software and Antivirus Updates
  • Consumer Alerts
  • Location-Based Services for Mobile Wireless
  • Multiplayer Online Games
  • Web Search Engines
  • e-Business (e.g., Supply Chain Mgmt)
  • Distributed Sensor Networks

Publish/subscribe is a natural fit!
5
Publish/Subscribe Networking
  • Publish/subscribe is traditionally implemented by
    centralized servers
  • But server-based realizations do not scale to
    Internet-wide applications
  • So existing networks require faking it
  • Request/response interaction
  • Continual subscriber polling
  • Enormous server farms
  • Dumb caching
  • And so we must realize publish/subscribe via a
    distributed network of routers

6
SIENA Content-Based RoutingSubscription
Forwarding
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SIENA Content-Based Routing Subscription Merging
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SIENA Content-Based Routing Notification Delivery
n1 matches s1 n1 matches s2
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PreCacheNETINJECTOR Architecture
Internet
Publisher
Subscriber
Routing Engine
Channel Manager
Event Agent
10
PreCache NETINJECTOR
  • Routing and forwarding based on SIENA
  • Generalize idea of subscription merging
  • Compute single subscription covering all received
    subscriptions
  • Employ approximate matching
  • Constant time and space complexity
  • Log time and space with additional leakage
    reduction
  • Channel services
  • Namespace management
  • Resource allocation
  • Load balancing, fault tolerance, authentication

11
Open Problems
12
Comments on the Problems
  • Problems identified based on experience with
    NETINJECTOR and SIENA
  • Many of the problems arise because of a desire
    for scalability
  • Some problems are deeply technical
  • Other problems are simply pragmatic

13
ProblemWireless Mobile Devices (WMDs?)
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ProblemIssues with Wireless Mobile Devices
  • Caching notifications in the network
  • Stream reconstruction and duplicate suppression
  • Frequency of movement versus overhead of
    reconfiguration
  • Gateways for email, SMS, etc.

15
ProblemSecurity
  • Traditional security properties are address-based
  • Example Authentication
  • Bob wants to make sure Alice sent the message
  • Content-based analog
  • Bob wants to make sure a message represents
    reality
  • Pub/sub admits new kinds of vulnerabilities
  • Example Denial of Service
  • Highly generic subscription (Price gt 0) causes
    flood of notifications to subscriber
  • How do you distinguish a malicious subscriber
    from a greedy subscriber?
  • How do you do content-based routing when the
    content is encrypted???

16
ProblemClient Connections and Firewalls
  • Want constant connection between subscriber and
    edge router
  • Otherwise subscriber polls for notifications
  • Connections limits may require multiplexing
  • Client must initiate connection to edge router in
    order to breach firewall
  • And if port 80 is the only open port
  • Need HTTP encapsulation of messages
  • May need HTML formatting of messages
  • Routers need to multiplex and/or demultiplex
    message traffic

17
ProblemApproximate Matching
  • Rationale High-performance routing
  • Expect approximate matching to have better
    time/space complexity than exact matching
  • Approximation must be conservative
  • False positives OK, false negatives not
  • Must still perform exact match at some point
    before delivery to subscriber
  • Leakage may increase traffic
  • Tradeoff in computational resources
  • We need simulation tools to explore this!

18
ProblemOptimizing for Traffic Variations
  • Can routers dynamically optimize for traffic
    variations?
  • Example The Brittany Spears Effect
  • All subscribers want certain notifications N1
  • Few subscribers want other notifications N2
  • N1 notifications may flood network
  • Example The Google Effect
  • Certain subscribers S1 want all notifications
  • Other subscribers S2 want few notifications
  • S1 subscriptions may dominate routing
  • We need simulation tools to explore this!

19
ProblemService-Provider Deployment
  • Difficult to convince network service providers
    to enhance their networks with publish/subscribe
  • Application demand not yet critical
  • Lack of standards
  • Economic barriers govern router design
  • Example 100M users, 10K/router
  • 1000 users/router 100K routers, 1G outlay
  • 100 routers 1M outlay, 1M users/router

20
ProblemPeer-to-Peer Deployment
  • Reasonable alternative to service-provider
    deployment
  • Grass roots generation of demand
  • Challenges
  • Dynamically aligning peer topology to underlying
    network topology
  • Dynamically partitioning routing responsibilities
    across peers
  • Ensuring reliability, privacy and/or integrity of
    messages

21
ProblemUnicast Fanout at Edge Routers
  • Example 100M users on 1K routers
  • 100K users per router
  • 10Kbyte notification
  • gt80 milliseconds over OC-192
  • gt80 seconds over 10Mb Ethernet
  • gt4 hours over 56K modem
  • Idea Use publish/subscribe for leveling
  • Partition users into classes
  • Example Last digit of serial number
  • Publish once per class
  • Tune publication rate to available bandwidth and
    SLA

22
Conclusion
23
Conclusion
  • Many Internet applications naturally require
    publish/subscribe messaging
  • Scalability can be achieved through
    publish/subscribe networking
  • SIENA, PreCache, and others have established many
    fundamental results
  • But many open problems remain to be solved

24
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