A Grid Meta-Scheduler Using Community Scheduler Framework (Csf) With Different Plug-In Policies Performance Evaluation
Community Scheduler Framework (CSF) adalah salah satu penjadualan meta grid semasa yang membolehkan penggunaan Globus. Penjadualan meta menjadualkan tugas bagi pihak penggunanya. Tujuan utama CSF adalah untuk menyediakan API yang mudah bagi penggunanya menentukan polisi masing-masing yang diguna...
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| 语言: | English |
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2008
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my-usm-ep.314012017-04-14T12:18:35Z A Grid Meta-Scheduler Using Community Scheduler Framework (Csf) With Different Plug-In Policies Performance Evaluation 2008-06 Tan , Zhen Ling QA75.5-76.95 Electronic computers. Computer science Community Scheduler Framework (CSF) adalah salah satu penjadualan meta grid semasa yang membolehkan penggunaan Globus. Penjadualan meta menjadualkan tugas bagi pihak penggunanya. Tujuan utama CSF adalah untuk menyediakan API yang mudah bagi penggunanya menentukan polisi masing-masing yang digunakan dalam servis giliran. Ia berkemampuan dengan menawarkan mekanisma penjadualan yang mudah dan membolehkan penambahan penjadulan plug-ins. Community Scheduler Framework (CSF) is one of the current implemented grid meta-scheduler, which is Globus enable. The meta-scheduler schedules jobs on behalf of its users. The main objective of CSF is to provide simple API for writing user-defined policies for the queuing service. It has the ability to offer simple scheduling mechanisms and is extensible via scheduling plug-ins. 2008-06 Thesis http://eprints.usm.my/31401/ http://eprints.usm.my/31401/1/TAN_ZHEN_LING.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QA75.5-76.95 Electronic computers Computer science |
| spellingShingle |
QA75.5-76.95 Electronic computers Computer science Tan , Zhen Ling A Grid Meta-Scheduler Using Community Scheduler Framework (Csf) With Different Plug-In Policies Performance Evaluation |
| description |
Community Scheduler Framework (CSF) adalah salah satu penjadualan meta
grid semasa yang membolehkan penggunaan Globus. Penjadualan meta
menjadualkan tugas bagi pihak penggunanya. Tujuan utama CSF adalah untuk
menyediakan API yang mudah bagi penggunanya menentukan polisi masing-masing
yang digunakan dalam servis giliran. Ia berkemampuan dengan menawarkan
mekanisma penjadualan yang mudah dan membolehkan penambahan penjadulan
plug-ins.
Community Scheduler Framework (CSF) is one of the current implemented grid
meta-scheduler, which is Globus enable. The meta-scheduler schedules jobs on
behalf of its users. The main objective of CSF is to provide simple API for writing
user-defined policies for the queuing service. It has the ability to offer simple
scheduling mechanisms and is extensible via scheduling plug-ins. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Tan , Zhen Ling |
| author_facet |
Tan , Zhen Ling |
| author_sort |
Tan , Zhen Ling |
| title |
A Grid Meta-Scheduler Using Community Scheduler
Framework (Csf) With Different Plug-In Policies
Performance Evaluation
|
| title_short |
A Grid Meta-Scheduler Using Community Scheduler
Framework (Csf) With Different Plug-In Policies
Performance Evaluation
|
| title_full |
A Grid Meta-Scheduler Using Community Scheduler
Framework (Csf) With Different Plug-In Policies
Performance Evaluation
|
| title_fullStr |
A Grid Meta-Scheduler Using Community Scheduler
Framework (Csf) With Different Plug-In Policies
Performance Evaluation
|
| title_full_unstemmed |
A Grid Meta-Scheduler Using Community Scheduler
Framework (Csf) With Different Plug-In Policies
Performance Evaluation
|
| title_sort |
grid meta-scheduler using community scheduler
framework (csf) with different plug-in policies
performance evaluation |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer |
| publishDate |
2008 |
| url |
http://eprints.usm.my/31401/1/TAN_ZHEN_LING.pdf |
| _version_ |
1747820417058340864 |