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From "Jeff Jirsa (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (CASSANDRA-12346) Gossip 2.0 - introduce a Peer Sampling Service for partial cluster views
Date Sun, 31 Jul 2016 05:34:20 GMT

     [ https://issues.apache.org/jira/browse/CASSANDRA-12346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jeff Jirsa updated CASSANDRA-12346:
-----------------------------------
    Description: 
A [Peer Sampling Service|http://infoscience.epfl.ch/record/83409/files/neg--1184036295all.pdf]
is a module that provides a partial view of a cluster to dependent modules. A node's partial
view, combined with all other nodes' partial views, combine to create a fully-connected mesh
over the cluster. This way, a given node does not need to have direct connections to every
other node in the cluster, and can be much more efficient in terms of resource management
as well as information dissemination. Peer Sampling Services by their nature must be self-healing
and self-balancing to maintain the fully-connected mesh.

I propose we use an algorithm based on [HyParView|http://asc.di.fct.unl.pt/~jleitao/pdf/dsn07-leitao.pdf],
which is a concrete algorithm for a Peer Sampling Service. HyParView has a clearly defined
protocol, and is reasonably simple to implement.



  was:
A [Peer Sampling Service|infoscience.epfl.ch/record/83409/files/neg--1184036295all.pdf] is
a module that provides a partial view of a cluster to dependent modules. A node's partial
view, combined with all other nodes' partial views, combine to create a fully-connected mesh
over the cluster. This way, a given node does not need to have direct connections to every
other node in the cluster, and can be much more efficient in terms of resource management
as well as information dissemination. Peer Sampling Services by their nature must be self-healing
and self-balancing to maintain the fully-connected mesh.

I propose we use an algorithm based on [HyParView (http://asc.di.fct.unl.pt/~jleitao/pdf/dsn07-leitao.pdf],
which is a concrete algorithm for a Peer Sampling Service. HyParView has a clearly defined
protocol, and is reasonably simple to implement.




> Gossip 2.0 - introduce a Peer Sampling Service for partial cluster views
> ------------------------------------------------------------------------
>
>                 Key: CASSANDRA-12346
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-12346
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Core
>            Reporter: Jason Brown
>            Assignee: Jason Brown
>              Labels: gossip
>
> A [Peer Sampling Service|http://infoscience.epfl.ch/record/83409/files/neg--1184036295all.pdf]
is a module that provides a partial view of a cluster to dependent modules. A node's partial
view, combined with all other nodes' partial views, combine to create a fully-connected mesh
over the cluster. This way, a given node does not need to have direct connections to every
other node in the cluster, and can be much more efficient in terms of resource management
as well as information dissemination. Peer Sampling Services by their nature must be self-healing
and self-balancing to maintain the fully-connected mesh.
> I propose we use an algorithm based on [HyParView|http://asc.di.fct.unl.pt/~jleitao/pdf/dsn07-leitao.pdf],
which is a concrete algorithm for a Peer Sampling Service. HyParView has a clearly defined
protocol, and is reasonably simple to implement.



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