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AURELIUS
THINKAURELIUS.COM
TITAN
Distributed Graph Computing
Matthias Broecheler, CTO
@mbroecheler
June XI, MMXIII
#CASSANDRA13
This presentation introduces Titan, Faunus, and scalable graph
computing in general. We present a case study of how Pearson
builds an education social network on top of Titan, Faunus, and
Cassandra to support learning in the 21st century.
Titan is an open source distributed graph database build on top
of Cassandra that can power real-time applications with
thousands of concurrent users over graphs with billions of
edges. Faunus is an open source global graph processing engine
build on top of Hadoop and compatible with Cassandra that can
analyze graphs, compute graph statistics, and execute global
traversals. Titan and Faunus are components of the Aurelius
Graph Cluster which enables scalable graph computation and
powers applications in social networking, recommendation
engines, advertisement optimization, knowledge
representation, health care, education, and security.
Thank You!
JOFF L?KO?MNM
@?;NOL? MOAA?MNCIHM
<OA L?JILNM
=IGGOHCNS MOJJILN
June 14th
2012
September
2012
December
2012
March
2013
May
2013
Alpha
Release
Titan
0.1.0
Titan
0.2.0
Titan
0.3.0
Titan
0.3.1
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>CMNLC<ON?>m IJ?H rMIOL=?
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June 14th
2012
September
2012
December
2012
March
2013
May
2013
Alpha
Release
Titan
0.1.0
Titan
0.2.0
Titan
0.3.0
Titan
0.3.1
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Faunus Release
Titan
Graph Database
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name: Hercules
type: demigod
name: Cerberus
type: monster
battled
time:12
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Value in Relationships
low
 high
Key-Value
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Document
Relational
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Educating the Planet
Educating the Planet
Person
Person
Student
 Teacher
Course
Institution
Concept
Discussion
Comment
Share
enrolledIn
teaches
relatesTo
hasCourse
belongsTo
follows
author
references
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 relatesTo
author
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relatesTo
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enrolledIn
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Titan
Integrative Data Model
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Student
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Teacher
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author
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Titan
Analyze Relationships
CH L?;F NCG?
Scaling Titan
HOG<?L I@
NL;HM;=NCIHM
MCT? I@ NB? AL;JB
121 Billion Edges
6.2 Billion Vertices
U -CFFCIH 5HCP?LMCNC?M
0F;=?G?HN 'LIOJ
BCU .4RF
1.1 million edges / sec
OMCHA <;N=B GI>?
Data Ingestion
^ GU .G?>COG
x = [] as Set;!
m = user.out('follows').aggregate(x)[0..(num*2-1)]!
!.out('follows').except(x)[0..limit]!
!.groupCount.cap.next();!
m.sort{-it.value}[0..(num-1)]!
._().transform{ [userid: it.key.id, !
! ! ! ! ! ! !points: it.value]};!
&IFFIQ 2?=IGG?H>;NCIH
Generic
Graph API
Dataflow
Processing
Traversal
Language
Object-Graph
Mapper
Graph
Algorithms
Graph
Server
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10,200 transactions / sec
UZ L;H>IGFS =BIM?H =IGJF?R
NL;P?LM;F N?GJF;N?M
Throughput
Transaction Description Avg (ms) Stdev (ms)
Student retrieves all content for a
single course in their course list
279.32 81.83
Student follows another student 193.72 22.77
Student is recommended people
to follow
241.33 256.48
Student reads their stream and
shares an item with followers
284.07 68.20
Student retrieves their profile 53.740 22.61
Student reads the most recent
comments for their courses
211.07 45.56
Scaling Titan
N?=BHC=;F J?LMJ?=NCP?
Vertex Representation
time: 1
5
8
4
9
2
7
mother
battled
battled
battled
fought
time: 4
time: 7
 CH>O=?>IL>?L
name:
Hercules
type:
demigod
5
Property
Property
Edge
Edge
Edge
Edge
Edge
LIQ CH>C=?M
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KO?LC?M
label id +
direction
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 edge id
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signature
properties
other
properties
Edge Representation
Column
 Value
=IGJL?MM?> M?LC;FCT?> I<D?=NM
P;LC;<F? FIHA ?H=I>CHA
Token Ring
Graph Partitioning
;MMCAHM C>M NI G;J
P?LNC=?M CHNI “IJNCG;F”
NIE?H L;HA?
,INM I@ CHN?L?MNCHA KO?MNCIHM @IL@ONOL? QILE
OM?M "/0
Aurelius Graph Cluster
Stores a massive-scale
property graph allowing real-
time traversals and updates
Batch processing of large
graphs with Hadoop
Runs global graph algorithms
on large, compressed,
in-memory graphs
Map/Reduce
 Load & Compress
Analysis results
back into Titan
Bulk Load
TITAN FAUNUS FULGORA
Apache 2
aureliusgraphs@googlegroups.com
titan.thinkaurelius.com
 faunus.thinkaurelius.com
Special Thanks
Steve Hill (@kindageeky)
Director Architecture & Innovation
at Pearson Education
AURELIUS
THINKAURELIUS.COM
We are Hiring

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