Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud
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: 2014DOI: 10.1109/TASE.2013.2272758
Keyword(s): cloud computing,integer programming,particle swarm optimisation,quality of service,resource allocation,ECs,IP model,Infrastructure as a service,QoS,SLPSO,deadline constrained task scheduling,external clouds,hybrid IaaS cloud,integer programming,multiplexing,quality-of-service,resource allocation framework,self-adaptive learning particle swarm optimization,Cloud computing,Processor scheduling,Quality of service,Resource management,Robustness,Scheduling,Standards,Hybrid cl
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Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud
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| contributor author | Xingquan Zuo | |
| contributor author | Guoxiang Zhang | |
| contributor author | Wei Tan | |
| date accessioned | 2020-03-12T18:26:02Z | |
| date available | 2020-03-12T18:26:02Z | |
| date issued | 2014 | |
| identifier issn | 1545-5955 | |
| identifier other | 6574281.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/958361 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7990806 | |
| subject keywords | cloud computing | |
| subject keywords | integer programming | |
| subject keywords | particle swarm optimisation | |
| subject keywords | quality of service | |
| subject keywords | resource allocation | |
| subject keywords | ECs | |
| subject keywords | IP model | |
| subject keywords | Infrastructure as a service | |
| subject keywords | QoS | |
| subject keywords | SLPSO | |
| subject keywords | deadline constrained task scheduling | |
| subject keywords | external clouds | |
| subject keywords | hybrid IaaS cloud | |
| subject keywords | integer programming | |
| subject keywords | multiplexing | |
| subject keywords | quality-of-service | |
| subject keywords | resource allocation framework | |
| subject keywords | self-adaptive learning particle swarm optimization | |
| subject keywords | Cloud computing | |
| subject keywords | Processor scheduling | |
| subject keywords | Quality of service | |
| subject keywords | Resource management | |
| subject keywords | Robustness | |
| subject keywords | Scheduling | |
| subject keywords | Standards | |
| subject keywords | Hybrid cl | |
| identifier doi | 10.1109/TASE.2013.2272758 | |
| journal title | Automation Science and Engineering, IEEE Transactions on | |
| journal volume | 11 | |
| journal issue | 2 | |
| filesize | 2092581 | |
| citations | 1 |