| Presentation | 2013-05-17 Stochastic Models for Determining an Optimal Number of Server Resources Syouji NAKAMURA, Xufeng ZHAO, Toshio NAKAGAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes optimaization problems of a parallel system in which how many number of server resouces should be provided for a cloud computing with random job times. The system operates for a cloud computing with n jobs, optimal server resouce numbers when n is constant and random are obtained. When job times are exponential, optimal policies are discussed analytically and computed numerically. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | distributed processing / cloud computing / stochastic model / cumulative process / expected cost |
| Paper # | R2013-12 |
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| Committee | R |
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| Conference Date | 2013/5/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Reliability(R) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Stochastic Models for Determining an Optimal Number of Server Resources |
| Sub Title (in English) | |
| Keyword(1) | distributed processing |
| Keyword(2) | cloud computing |
| Keyword(3) | stochastic model |
| Keyword(4) | cumulative process |
| Keyword(5) | expected cost |
| 1st Author's Name | Syouji NAKAMURA |
| 1st Author's Affiliation | Department of Life Management, Kinjo Gakuin University() |
| 2nd Author's Name | Xufeng ZHAO |
| 2nd Author's Affiliation | Department of Business Administration, Aichi Institute of Technology |
| 3rd Author's Name | Toshio NAKAGAWA |
| 3rd Author's Affiliation | Department of Business Administration, Aichi Institute of Technology |
| Date | 2013-05-17 |
| Paper # | R2013-12 |
| Volume (vol) | vol.113 |
| Number (no) | 44 |
| Page | pp.pp.- |
| #Pages | 3 |
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