Thanks a lot Avery, I will take look into PageRankBenchmark and
PseudoRandomIntNullVertexInputFormat class.
Wei
From: Avery Ching <aching@apache.org>
To: user@giraph.apache.org,
Date: 10/10/2013 01:59 PM
Subject: Re: workload used to measure Giraph performance number
We don't have a data generator that produces HDFS files, but
PageRankBenchmark does have a data generator (see
PseudoRandomIntNullVertexInputFormat)
Hope that helps,
Avery
On 10/9/13 2:49 PM, Wei Zhang wrote:
Hi Avery,
Thanks a lot for the pointer! I haven't quite got to the point where
I can tune the Giraph performance yet (hopefully I can get there
soon)
I am still at the early stage of finding/generating the right
workload to measure the performance. I am wondering is there some
pointer (in Giraph or elsewhere) that I can use to generate a random
or representative workload (for pagerank, for now), which complies
with JsonLongDoubleFloatDoubleVertexInputFormat t? Any pointer is
greatly appreciated.  Sorry for being a slow starter.
I have written a small program myself to generate a random graph that
has an average outdegree of 6 connected graph that complies with the
JSON format. For a 2000vertice graph, it takes about 12 seconds to
run the pagerank example provided by Giraph (30 supersteps)
I am only using 1 core of my machine (as I run in the Hadoop's
"local" mode so that I could jdb into the Giraph job to observe how
code runs if needed). Each core (out of 8 in total) of my machine is
Intel(R) Core(TM) i73740QM CPU @ 2.70GHz, there is 16GB memory in
total. Assuming the linear speedup when turning on all the 8 cores,
it is about 1.5 seconds to run the work  not sure if it is a
reasonable number or not .
Thanks!
Wei
Inactive
hide details for Avery Ching 10/09/2013 05:11:39
PMHi
Wei, For best performance, please be sure to tune
the GC sAvery Ching 10/09/2013 05:11:39 PMHi Wei, For best
performance, please be sure to tune the GC settings, use Java
From: Avery Ching <aching@apache.org>
To: user@giraph.apache.org,
Date: 10/09/2013 05:11 PM
Subject: Re: workload used to measure Giraph performance number
Hi Wei,
For best performance, please be sure to tune the GC settings, use
Java 7, tune the number of cores used for computation, communication,
etc. and the combiner.
We also have some numbers on our recent Facebook blog post.
https://www.facebook.com/notes/facebookengineering/scalingapachegiraphtoatrillionedges/10151617006153920
Avery
On 10/8/13 7:43 PM, Wei Zhang wrote:
Hi Sebastian,
Thanks a lot for the help! Sorry for the late response!
At this point, I would only need a random graph that complies
with JsonLongDoubleFloatDoubleVertexInputFormat of Giraph to
measure the pagerank example (of giraph) performance.
I am wondering how to convert the data from Koblenz to the
such a graph ? Is there any pointer of doing this ? (This is
the same kind of question that I raised to Alok on SNAP)
Thanks!
Wei
P.S.: I forgot to mention in all my previous emails that I just
get started with distributed graph engine, so please forgive if
my questions are too naive.
Inactive hide details for Sebastian Schelter
10/02/2013 12:41:27 PMAnother option is to use the
Koblenz network collectioSebastian Schelter 10/02/2013
12:41:27 PMAnother option is to use the Koblenz network
collection [1], which offers even more (and larger) dat
From: Sebastian Schelter <ssc@apache.org>
To: user@giraph.apache.org,
Date: 10/02/2013 12:41 PM
Subject: Re: workload used to measure Giraph performance number
Another option is to use the Koblenz network collection [1],
which
offers even more (and larger) datasets than Snap.
Best,
Sebastian
[1] http://konect.unikoblenz.de/
On 02.10.2013 17:41, Alok Kumbhare wrote:
> There are a number real (medium sized) graphs at
> http://snap.stanford.edu/data/index.html which we use for
similar
> benchmarks. It has a good mix of graph types, sparse/dense,
ground truth
> graphs (e.g. social networks that follow power law
distribution etc.). So
> far we have observed that the type of graph has a high impact
on the
> performance of algorithms that Claudio mentioned.
>
>
> On Wed, Oct 2, 2013 at 8:22 AM, Claudio Martella <
claudio.martella@gmail.com
>> wrote:
>
>> Hi Wei,
>>
>> it depends on what you mean by workload for a batch
processing system. I
>> believe we can split the problem in two: generating a
realistic graph, and
>> using "representative" algorithms.
>>
>> To generate graphs we have two options in giraph:
>>
>> 1) random graph: you specify the number of vertices and the
number of
>> edges for each vertex, and the edges will connect two random
vertices. This
>> creates a graph with (i) low clustering coefficient, (ii)
low average path
>> length, (ii) a uniform degree distribution
>>
>> 2) watts strogatz: you specify the number of vertices, the
number of
>> edges, and a rewire probability beta. giraph will generate a
ring lattice
>> (each vertex is connected to k preceeding vertices and k
following
>> vertices) and rewire some of the edges randomly. This will
create a graph
>> with (i) high clustering coefficient, (ii) low average path
length, (iii)
>> poissonlike degree distribution (depends on beta). This
graph will
>> resemble a small world graph such as a social network,
except for the
>> degree distribution which will not a power law.
>>
>> To use representative algorithms you can choose:
>>
>> 1) PageRank: it's a ranking algorithm where all the vertices
are active
>> and send messages along the edges at each superstep (hence
you'll have O(V)
>> active vertices and O(E) messages)
>>
>> 2) Shortest Paths: starting from a random vertex you'll
visit al the
>> vertices in the graph (some multiple times). This will have
an aggregate
>> O(V) active vertices and O(E) messages, but this is only a
lower bound. In
>> general you'l have different areas of the graph explored at
each superstep,
>> and hence potentially a varying workload across different
supersteps.
>>
>> 3) Connected Components: this will have something opposite
to (2) as it
>> will have many active vertices at the beginning, where the
detection is
>> refined towards the end.
>>
>>
>> Hope this helps,
>> Claudio
>>
>>
>> On Wed, Oct 2, 2013 at 4:59 PM, Wei Zhang <weiz@us.ibm.com>
wrote:
>>
>>> Hi,
>>>
>>> I am interested in measuring some performance numbers of
Giraph on my
>>> machine.
>>>
>>> I am wondering are there some pointers where I can get some
>>> (configurable) reasonably large workload to work on ?
>>>
>>> Thanks!
>>>
>>> Wei
>>>
>>
>>
>>
>> 
>> Claudio Martella
>> claudio.martella@gmail.com
>>
>
