
| Key: |
CAT-60
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| Type: |
Contest Submission
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| Status: |
Closed
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| Resolution: |
Fixed
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| Priority: |
Major
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| Assignee: |
alit
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| Reporter: |
Kirill Uvaev
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| Votes: |
0
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| Watchers: |
0
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| Component/s: |
None
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| Affects Version/s: |
None
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| Fix Version/s: |
None
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| Contest's Project Name: |
Convergence
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| Contest's Project Description: |
In current enterprise Computational Grids are usually separated from In Memory Data Grids. E.g. In Memory Data Grids runs in dedicated environment. This causes enterprise resources underutilization, inability to automatically react on software and hardware failure in IMDG environment and inability to resize IMDG basing on current workload. The aim of the project is to offer a way to put In-Memory Data Grids such as GigaSpaces under Grid Engine supervision and give Grid Engine the ability to manage IMDG lifecycle, adjust IMDG resources basing on workload as well as perform data-aware task routing
In current enterprise Computational Grids are usually separated from In Memory Data Grids. E.g. In Memory Data Grids runs in dedicated environment. This causes enterprise resources underutilization, inability to automatically react on software and hardware failure in IMDG environment and inability to resize IMDG basing on current workload. The aim of the project is to offer a way to put In-Memory Data Grids such as GigaSpaces under Grid Engine supervision and give Grid Engine the ability to manage IMDG lifecycle, adjust IMDG resources basing on workload as well as perform data-aware task routing
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| Contest's Project Category: |
Application
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| The Challenge: |
Develop and implement the approach how to decrease time spent on data retrieving in data intensive tasks.
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| Technologies: |
Jini, OpenSpaces, DataSynapse, Sun Grid Engine and etc.
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| Restricted Environments: |
None
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| Applicable Scenario/s : |
Do data-aware routing of data intensive tasks which uses spaces as data source.
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| Exist Already?: |
No
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| Submission Maturity: |
Concept
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| Contest Terms & Conditions: |
Yes
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| Contributor License Agreement: |
Yes
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