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P2P Search COP5711

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Basic Idea - Hashing Viewed as a Distributed Hash Table How to Find an Object ? Dynamic Hash Table (DHT) in action DHT in action DHT in action: put() DHT in ... – PowerPoint PPT presentation

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Title: P2P Search COP5711


1
P2P SearchCOP5711
2
P2P Search Techniques
  • Centralized P2P systems
  • e.g. Napster, SETI_at_home
  • Decentralized unstructured P2P systems
  • e.g. Gnutella
  • Hybrid - partially decentralized
  • e.g., Freenet
  • Structured P2P systems
  • DHT
  • CAN

3
P2P Network
  • P2P network is an overlay network built on top of
    a real physical network (e.g., Internet)
  • In a P2P network, peers are network nodes
    connected by virtual or logical links
  • A logical link is a path through many physical
    links in the underlying network

4
Napster Publish a File
  • Users upload their IP address and music titles
    they wish to share

(xyz.mp3, 192.1.2.3)
Napster server (Central Catalog)
192.1.2.3
5
Napster Query for a File
  • Users search for peers to download desired files

xyz.mp3 ?
192.1.2.3
192.1.2.3
Central Napster server
6
Napster Transfer Requested File
  • File transfer is P2P, using a proprietary protocol

xyz.mp3 ?
192.1.2.3
Central Napster server
7
Disadvantage of Centralized Directory
  • Performance bottleneck
  • Single point of failure
  • Can we do it without a directory ?

8
Decentralized P2P - Gnutella
  • No catalog
  • Pings network to locate Gnutella peers
  • File requests are broadcast to peers
  • Flooding or breadth-first research
  • When provider is located, the file is transferred
    via HTTP

9
Gnutella Join the Network
Special peer maintained by Gnutella
Peers are Internet edges
Who are my neighbors ?
Pings network to locate peers
10
Gnutella Broadcast Request to Peers
xyz.mp3 ?
11
Gnutella Flood the Request (Breadth-first
research)
I have it.
12
Gnutella Reply with the File(via HTTP)
I have it.
xyz.mp3
13
Gnutella - Disadvantages
  • Network flooding - unnecessary network traffic
  • Using TTL - some files might not be found
  • Alternatively,
  • using ultranodes (or supernodes)
  • using depth-first search, i.e., Freenet

14
Morpheus, KazaaFlooding only the Supernodes
Supernode Layer
15
Using Ultranodes
  • Queries flood only the network of ultranodes
  • Other peer nodes shielded from query traffic
  • Combine the benefits of centralized and
    decentralized search
  • Take advantage of the heterogeneity in peer
    capabilities

16
Freenet - Depth-First Search
17
Freenet File not Found
I have file X
  • The requested file not found due to a poor
    routing decision made at peer D
  • In this case, query backs out of the dead-end,
    and tries another peer in depth-first manner

18
Using Distributed Directory
  • Data objects are everywhere
  • Distribute subsets of the data directory among
    peers
  • If we can find the relevant sub-directory, we can
    locate the data object

Directory

Data Objects
Sub-directory
19
How to Bound Search Space ?Basic Idea - Hashing
P2P Network
Publish (H(y))
Join (H(x))
Object y
Peer x
H(y)
H(x)
Peer nodes also have hash keys in the same hash
space
Objects have hash keys
y
x
Hash key
Place location information about an object at the
peer with closest hash keys (i.e., a distributed
directory)
20
Viewed as a Distributed Hash Table
0
2128-1
Hash table
Peer nodes
  • Each peer node is responsible for a range of the
    hash table, according to the peer hash key
  • Location information about Objects are placed in
    the peer with the closest key (information
    redundancy)

21
How to Find an Object ?
  • Looks for a peer /w the corresponding peer hash
    key
  • A peer knows its logical neighbors
  • Find peer X based on multihop routing
  • X knows who has the object

0
2128-1
Hash table
Peer node
X
Peer Y has the file
22
Dynamic Hash Table (DHT) in action
23
DHT in action
24
DHT in action put()
Want to share a file
insert(K1,V1)
Operation Route message, I have the file, to
node holding key K1
25
DHT in action put()
(K1,V1)
Operation take key as input route messages to
node holding key
26
DHT in action get()
retrieve (K1)
Operation Retrieve message V1 at node holding
key K1
27
DHT in action
Retrieve file according to V1
28
Still Flooding
  • Still flood the network although intermediate
    nodes do not need to search
  • Can we avoid flooding ?

29
CAN Content Addressable Network
  • Each peer is responsible for one zone, i.e.,
    stores all (key, value) pairs of the zone
  • Each peer knows the neighbors of its zone
  • Random assignment of peers to zones at startup
    split zone if not empty
  • Dimensional-ordered multihop routing

30
CAN Object Publishing
I
node Ipublish(K,V)
31
CAN Object Publishing
x a
I
node Ipublish(K,V)
(1) a hx(K)
32
CAN Object Publishing
x a
I
node Ipublish(K,V)
(1) a hx(K) b hy(K)
y b
33
CAN Object Publishing
I
node Ipublish(K,V)
J
(1) a hx(K) b hy(K)
(2) route (K,V) -gt J
34
CAN Object Publishing
I
node Ipublish(K,V)
J
(1) a hx(K) b hy(K)
(K,V)
(2) route (K,V) -gt J (3) J stores (K,V)
35
CAN Object Retrieval
node Iretrieve(K)
(1) a hx(K) b hy(K)
J
(K,V)
(2) route retrieve(K) to J that is
in charge of (a,b)
I
36
Maintenance
  • Inform neighbors that you are alive at discrete
    time interval t
  • If your neighbor does not send alive message in
    time t, takeover its zone

37
P2P Benefits
  • Efficient use of resources
  • Use unused bandwidth, storage, and processing
    power at the edge of the network
  • Scalability
  • Consumers of resources also donate resources
  • Reliability
  • Replicas, geographic distribution ? No single
    point of failure
  • Ease of administration
  • Self organized nodes
  • Built-in reliability and load balancing

38
Some Prototypes at UCF
  • iSEE (Internet-scale Sensor Exploration
    Environement)
  • Publishing real-time sensor data
  • Browsing and querying real-time sensor data
  • P2P Video Streaming for VoD and Live Broadcast
    Applications
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