QoS driven optimal mobile edge server placement in mobile edge cloud
| dc.contributor.advisor | Zhang, Ning | |
| dc.contributor.author | Sun, Peidong | |
| dc.contributor.committeeMember | Li, Longzhuang | |
| dc.contributor.committeeMember | Carrillo, Luis | |
| dc.creator.orcid | 0000-0003-3304-1928 | en_US |
| dc.creator.orcid | https://orcid.org/0000-0003-3304-1928 | |
| dc.date.accessioned | 2020-12-18T19:33:54Z | |
| dc.date.available | 2020-12-18T19:33:54Z | |
| dc.date.issued | 2020-05 | |
| dc.description.abstract | Mobile edge cloud is an emerging technology to enhance the Quality of Service (QoS) for mobile users' applications, especially for computation resource-consuming applications. A challenge in mobile edge cloud is the problem of mobile edge server placement, which concerns where to place the mobile edge servers to reduce the transmission delay and computation delay for tasks generated by mobile device users. In this essay, we work on the deployment of edge servers in the mobile edge cloud. We formulate the deployment problem as an integer linear problem and propose a density-based deployment of the MECs algorithm, which combines the K-means approach and integer linear programming. To evaluate the performance of our proposed approach, we conduct experiments using the telecom dataset of Shanghai. From the result of the experiment, we demonstrate that our proposed method could reduce the delay per task by around 10%. | en_US |
| dc.description.college | College of Science and Engineering | en_US |
| dc.description.department | Computing Sciences | en_US |
| dc.format.extent | 44 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1969.6/89239 | |
| dc.language.iso | en | en_US |
| dc.rights | Attribution 4.0 International | * |
| dc.rights | This material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with its source. All rights are reserved and retained regardless of current or future development or laws that may apply to fair use standards. Permission for publication of this material, in part or in full, must be secured with the author and/or publisher. | en_US |
| dc.rights.holder | Sun, Peidong | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | edge computing | en_US |
| dc.subject | service scaling | en_US |
| dc.subject | MEC server placement | en_US |
| dc.subject | quality of service | en_US |
| dc.title | QoS driven optimal mobile edge server placement in mobile edge cloud | en_US |
| dc.type | Text | en_US |
| dc.type.genre | Thesis | en_US |
| thesis.degree.discipline | Computer Science | en_US |
| thesis.degree.grantor | Texas A & M University--Corpus Christi | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | Master of Science | en_US |