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From Rana Althunyan <>
Subject Re: push-relabel flow algorithm
Date Tue, 25 Mar 2014 06:14:18 GMT
Hello Pankaj Malhotra,

Yes, I need to assign more than values to the edge. I need the edge has [flow, capacity, distinction,
You says I need to create a new class type for edge, How can I pass it to json class and how
can I make json class read my new edge object.

I need to submit my code next week, so any answer or recommendation will definitely help.


On Mar 24, 2014, at 7:29 AM, Pankaj Malhotra <> wrote:

> If I get your point-1 right, you want to have a vertex class type other than the ones
available, for example: Text. If this is what you want, you can have a class having as many
fields as you want. Then convert the objects of that class to Json objects using Gson for
example. Then, you can use the Json string to set the fields of the Text class.
> On 22 March 2014 04:50, Rana Althunyan <> wrote:
> Hello experts,
> > I really need your help. I am new to Giraph. I have project on pregel paper, and
I need to implement One algorithm via Apache Giraph.The algorithm is push-relabel flow algorithm.
Actually when I started to adapt the algorithm to fit to Giraph I found some problems. I will
list them.
> >
> > 1- Because any type of data structure are not allowed in Giraph how can I store
excess flow and distance value for each vertex.
> > 2- When the excess value becomes zero for any vertex, I wanna keep vertex flow 
during future supersteps even if the vertex received messages.
> > 3- The last point, when I want to send a flow to a vertex, i need store two values
of residual graph  the remaining value from the edge capacity and the amount of flow that
we use so far.  How can I do that. How can I keep these two values for each vertex in the
> >
> > these following questions may are easy for you ..
> > 4- How can I determine the last vertex as a sink.
> > 5- How can I get the number of all vertexes from the input file .
> >
> > I know I have written many question.I searched a lot in the Internet, but I did
not find any discussion regards to this algorithm
> >
> > sorry and thank you.I appreciate any help or recommendations
> > Rana

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