| Presentation | 2016-11-24 A Study of Computing Resource Allocation Based on Model Predictive Control for Business-Critical Systems in Hybrid Cloud Environment Yukio Ogawa, Go Hasegawa, Masayuki Murata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this report, business-critical application systems are constructed from computing resources provided by both private and public data centers. A private data center provides fixed resources for processing average workloads, whereas a public data center supplies on-demand resources for handling peak workloads. This system architecture enables us to satisfy application system requirements such as availability and performance as well as to maximize the resource utilization. This report presents a model predictive control approach for maintaining a target system utilization without too often scaling-out/in computing resources in such a hybrid cloud environment. We first formulated a cost function regarding the deployment of physical and virtual servers as well as fault tolerance and operation of them. We then conducted numerical simulations. % with arrival traces collected from actual web systems. The results indicate that, although an application system often experiences high utilization level above a threshold because of prediction errors, counting the operational cost reduces the frequency of scaling-out/in the resources, resulting in alleviating the high utilization. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | hybrid cloud / model predictive control / computing resources / utilization |
| Paper # | NS2016-101 |
| Date of Issue | 2016-11-17 (NS) |
| Conference Information | |
| Committee | NS / CQ / ICM |
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| Conference Date | 2016/11/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Shimonoseki Chember of Commerce and Industry |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network Quality, Network Measurement and Management, Network Virtualization, Network Service, General |
| Chair | Hideki Tode(Osaka Pref. Univ.) / Kyoko Yamori(Asahi Univ.) / Toshio Tonouchi(NEC) |
| Vice Chair | Yoshikatsu Okazaki(NTT) / Takanori Hayashi(NTT) / Hideyuki Shimonishi(NEC) / Manabu Nakagawa(NTT Communications) / Yuji Nomura(Fujitsu Labs.) |
| Secretary | Yoshikatsu Okazaki(Kyushu Inst. of Tech.) / Takanori Hayashi(NTT) / Hideyuki Shimonishi(Osaka Univ.) / Manabu Nakagawa(Keio Univ.) / Yuji Nomura(NEC) |
| Assistant | Shohei Kamamura(NTT) / Hirantha Abeysekera(NTT) / Norihiro Fukumoto(KDDI R&D Labs.) / Masaharu Hattori(KDDI R&D Labs.) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Communication Quality / Technical Committee on Information and Communication Management |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Computing Resource Allocation Based on Model Predictive Control for Business-Critical Systems in Hybrid Cloud Environment |
| Sub Title (in English) | |
| Keyword(1) | hybrid cloud |
| Keyword(2) | model predictive control |
| Keyword(3) | computing resources |
| Keyword(4) | utilization |
| 1st Author's Name | Yukio Ogawa |
| 1st Author's Affiliation | Muroran Institute of Technology(Muroran IT) |
| 2nd Author's Name | Go Hasegawa |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Masayuki Murata |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2016-11-24 |
| Paper # | NS2016-101 |
| Volume (vol) | vol.116 |
| Number (no) | NS-322 |
| Page | pp.pp.1-6(NS), |
| #Pages | 6 |
| Date of Issue | 2016-11-17 (NS) |