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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇雅韻 | |
| dc.contributor.author | Li-Kai Chen | en |
| dc.contributor.author | 陳立凱 | zh_TW |
| dc.date.accessioned | 2021-06-08T00:07:21Z | - |
| dc.date.copyright | 2013-08-16 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-12 | |
| dc.identifier.citation | [1] Amazon web service. http://aws.amazon.com.
[2] Bringing animation to life through cloud computing http:// softwareinsight.intel.com/visual/visual-feature.php. [3] SSHFS http://fuse.sourceforge.net/sshfs.html. [4] Rpc3 toolkit. http://notrump.eecs.umich.edu/. [5] Filesystem in Userspace. http://fuse.sourceforge.net/. [6] Torque resource manager. http://www.adaptivecomputing.com/ products/open-source/torque/. [7] Linux advanced routing & traffic control http://http://www.lartc.org/. [8] Wang, G., Eugene Ng, T.S. The Impact of Virtualization on Network Performance of Amazon EC2 Data Center. Proceedings of the 29th conference on Information communications, (2010). [9] Bode, B., Halstead, D., Kendall, R., Lei, Z., Jackson, D. The portable batch scheduler and the maui scheduler on linux clusters. Proceedings of the 4th annual Linux Showcase and Conference, (2000). [10] Muthitacharoen, A., Chen, B., Mazieres, D. A low-bandwidth network file system. Proceedings of the eighteenth ACM symposium on Operating systems principles, (2001). 26 [11] Dabek, F., Kaashoek, M., Karger, D., Morris, R., Stoica, I. Wide-area cooperative storage with CFS. Proceedings of the eighteenth ACM symposium on Operating systems principles, (2001). [12] Douceur, J., Elson, J., Howell, J., Lorch, J. The utility coprocessor: massively parallel computation from the coffee shop. In Proceedings of the 2010 USENIX conference on USENIX annual technical conference, (2010). [13] Guo, T., Sharma, U., Wood, T., Sahu, S., Shenoy, P. Seagull: intelligent cloud bursting for enterprise applications. Proceedings of the 2012 USENIX conference on Annual Technical Conference, (2012). [14] Marshall, P., Keahey, K., Freeman, T. Elastic Site: Using Clouds to Elastically Extend Site Resources. Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, (2010). [15] Ostermann, S., Prodan, R., Fahringer, T. Extending Grids with Cloud Resource Management for Scientific Computing. 2009 10th IEEE/ACM International Conference on Grid Computing, (2010). | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17334 | - |
| dc.description.abstract | Enterprises or organizations with existing IT infrastructure are beginning to employ a hybrid cloud model where the enterprise or organization uses its own private resources for the majority of its computing, but then bursts into
the cloud when local resources are insufficient. In the paper, we propose a cluster which can dynamically offload job to cloud when local resources are insufficient. It includes a cloud resource manager integrated with distributed resource manager and a content-addressable network file system with optimization for low bandwidth and high latency network between cloud and local server. LevCloud dynamically increases or decreases cloud resources in respond to changes in demand. In our evaluation, we conducted experiments to emulate bursty and showed LevCloud reduce significant job turnaround time by dynamically leveraging cloud resources. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T00:07:21Z (GMT). No. of bitstreams: 1 ntu-102-R00922118-1.pdf: 389386 bytes, checksum: f40e9e0a79b1c7c6d43a24a0a2089dec (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 致謝i
Abstract ii 中文摘要iii 1 Introduction 1 2 Problem Statement 4 2.1 Dynamic cloud resources management . . . . . . . . . . . . . . . . . . . 4 2.2 Job state migration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3 System Design 7 3.1 Scheduling job to cloud . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2 Offloading job state to cloud . . . . . . . . . . . . . . . . . . . . . . . . 9 3.2.1 Content-addressable filesystem . . . . . . . . . . . . . . . . . . 10 4 Implementation 13 4.1 LevCloud resource manager . . . . . . . . . . . . . . . . . . . . . . . . 13 4.2 On-demand File System . . . . . . . . . . . . . . . . . . . . . . . . . . 14 5 Evaluation 17 5.1 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 5.2 Result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 6 Related Work 23 7 Conclusion 25 Bibliography 26 | |
| dc.language.iso | en | |
| dc.title | LevCloud:使用內容定址檔案系統改善混合雲的效能 | zh_TW |
| dc.title | LevCloud: Use Content Addressable File system to Reduce Cloud Bursting Latency | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 周承復,施吉昇 | |
| dc.subject.keyword | 混合雲,雲端運算,檔案系統, | zh_TW |
| dc.subject.keyword | Hybrid Cloud,Cloud Computing,File System, | en |
| dc.relation.page | 27 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2013-08-13 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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| ntu-102-1.pdf 目前未授權公開取用 | 380.26 kB | Adobe PDF |
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