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Posted to dev@ode.apache.org by "Karthick Sankarachary (JIRA)" <ji...@apache.org> on 2009/04/18 01:30:14 UTC
[jira] Created: (ODE-586) Reuse And Reduce Process Memory
Reuse And Reduce Process Memory
-------------------------------
Key: ODE-586
URL: https://issues.apache.org/jira/browse/ODE-586
Project: ODE
Issue Type: Improvement
Components: Axis2 Integration, BPEL Compilation/Parsing, BPEL Runtime
Affects Versions: 1.2
Reporter: Karthick Sankarachary
Assignee: Karthick Sankarachary
Fix For: 1.3.1
This is a meta issue to track all solutions geared towards reducing the footprint of processes. Up until now, memory optimization of processes has been an afterthought, and that calls for a change. There are a number of ways in which we can reduce the in-memory size of processes, including but not limited, to the following:
a) Employ a flyweight pattern to share identical resources within the process model. This is analogous to the approach taken by string interning, only we want to it to be more generic.
b) Refactor one or more parts of the process model in terms of a leaner and meaner data structure. Since this may result in a structural change in the serialized bytes of the process, care should be taken to maintain backwards compatibility.
c) Reuse shared resources across different process models. This involves determining whether or not a resource is shareable, and if so, storing them in a system-wide cache. A reference counting mechanism may be used to manage the lifecycle of the cache.
In the following comment, we will describe a solution based on approach (a).
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[jira] Updated: (ODE-586) Reuse And Reduce Process Memory
Posted by "Alexis Midon (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/ODE-586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alexis Midon updated ODE-586:
-----------------------------
Affects Version/s: (was: 1.2)
1.3.5
will do later
> Reuse And Reduce Process Memory
> -------------------------------
>
> Key: ODE-586
> URL: https://issues.apache.org/jira/browse/ODE-586
> Project: ODE
> Issue Type: Improvement
> Components: Axis2 Integration, BPEL Compilation/Parsing, BPEL Runtime
> Affects Versions: 1.3.5
> Reporter: Karthick Sankarachary
> Assignee: Karthick Sankarachary
> Fix For: 1.3.4
>
>
> This is a meta issue to track all solutions geared towards reducing the footprint of processes. Up until now, memory optimization of processes has been an afterthought, and that calls for a change. There are a number of ways in which we can reduce the in-memory size of processes, including but not limited, to the following:
> a) Employ a flyweight pattern to share identical resources within the process model. This is analogous to the approach taken by string interning, only we want to it to be more generic.
> b) Refactor one or more parts of the process model in terms of a leaner and meaner data structure. Since this may result in a structural change in the serialized bytes of the process, care should be taken to maintain backwards compatibility.
> c) Reuse shared resources across different process models. This involves determining whether or not a resource is shareable, and if so, storing them in a system-wide cache. A reference counting mechanism may be used to manage the lifecycle of the cache.
> In the following comment, we will describe a solution based on approach (a).
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[jira] Updated: (ODE-586) Reuse And Reduce Process Memory
Posted by "Karthick Sankarachary (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/ODE-586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Karthick Sankarachary updated ODE-586:
--------------------------------------
Fix Version/s: (was: 1.3.1)
1.3.2
This is a clone of ODE-573, and was created to track ongoing patches against release 1.3.2.. The original issue was closed so that it could be noted against release 1.3.1.
> Reuse And Reduce Process Memory
> -------------------------------
>
> Key: ODE-586
> URL: https://issues.apache.org/jira/browse/ODE-586
> Project: ODE
> Issue Type: Improvement
> Components: Axis2 Integration, BPEL Compilation/Parsing, BPEL Runtime
> Affects Versions: 1.2
> Reporter: Karthick Sankarachary
> Assignee: Karthick Sankarachary
> Fix For: 1.3.2
>
>
> This is a meta issue to track all solutions geared towards reducing the footprint of processes. Up until now, memory optimization of processes has been an afterthought, and that calls for a change. There are a number of ways in which we can reduce the in-memory size of processes, including but not limited, to the following:
> a) Employ a flyweight pattern to share identical resources within the process model. This is analogous to the approach taken by string interning, only we want to it to be more generic.
> b) Refactor one or more parts of the process model in terms of a leaner and meaner data structure. Since this may result in a structural change in the serialized bytes of the process, care should be taken to maintain backwards compatibility.
> c) Reuse shared resources across different process models. This involves determining whether or not a resource is shareable, and if so, storing them in a system-wide cache. A reference counting mechanism may be used to manage the lifecycle of the cache.
> In the following comment, we will describe a solution based on approach (a).
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[jira] Updated: (ODE-586) Reuse And Reduce Process Memory
Posted by "Alex Boisvert (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/ODE-586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alex Boisvert updated ODE-586:
------------------------------
Fix Version/s: (was: 1.3.3)
1.3.4
> Reuse And Reduce Process Memory
> -------------------------------
>
> Key: ODE-586
> URL: https://issues.apache.org/jira/browse/ODE-586
> Project: ODE
> Issue Type: Improvement
> Components: Axis2 Integration, BPEL Compilation/Parsing, BPEL Runtime
> Affects Versions: 1.2
> Reporter: Karthick Sankarachary
> Assignee: Karthick Sankarachary
> Fix For: 1.3.4
>
>
> This is a meta issue to track all solutions geared towards reducing the footprint of processes. Up until now, memory optimization of processes has been an afterthought, and that calls for a change. There are a number of ways in which we can reduce the in-memory size of processes, including but not limited, to the following:
> a) Employ a flyweight pattern to share identical resources within the process model. This is analogous to the approach taken by string interning, only we want to it to be more generic.
> b) Refactor one or more parts of the process model in terms of a leaner and meaner data structure. Since this may result in a structural change in the serialized bytes of the process, care should be taken to maintain backwards compatibility.
> c) Reuse shared resources across different process models. This involves determining whether or not a resource is shareable, and if so, storing them in a system-wide cache. A reference counting mechanism may be used to manage the lifecycle of the cache.
> In the following comment, we will describe a solution based on approach (a).
--
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[jira] Updated: (ODE-586) Reuse And Reduce Process Memory
Posted by "Tammo van Lessen (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/ODE-586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tammo van Lessen updated ODE-586:
---------------------------------
Fix Version/s: 1.3.5
(was: 1.3.4)
Affects Version/s: (was: 1.3.5)
Postponed to 1.3.5.
> Reuse And Reduce Process Memory
> -------------------------------
>
> Key: ODE-586
> URL: https://issues.apache.org/jira/browse/ODE-586
> Project: ODE
> Issue Type: Improvement
> Components: Axis2 Integration, BPEL Compilation/Parsing, BPEL Runtime
> Reporter: Karthick Sankarachary
> Assignee: Karthick Sankarachary
> Fix For: 1.3.5
>
>
> This is a meta issue to track all solutions geared towards reducing the footprint of processes. Up until now, memory optimization of processes has been an afterthought, and that calls for a change. There are a number of ways in which we can reduce the in-memory size of processes, including but not limited, to the following:
> a) Employ a flyweight pattern to share identical resources within the process model. This is analogous to the approach taken by string interning, only we want to it to be more generic.
> b) Refactor one or more parts of the process model in terms of a leaner and meaner data structure. Since this may result in a structural change in the serialized bytes of the process, care should be taken to maintain backwards compatibility.
> c) Reuse shared resources across different process models. This involves determining whether or not a resource is shareable, and if so, storing them in a system-wide cache. A reference counting mechanism may be used to manage the lifecycle of the cache.
> In the following comment, we will describe a solution based on approach (a).
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