Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks
Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation offloading research mainly focused on mobile edge computing (MEC) or cloud computing, separately. This paper presents a collaborative approach based on MEC and cloud c...
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| Published in | IEEE transactions on vehicular technology Vol. 68; no. 8; pp. 7944 - 7956 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.08.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9545 1939-9359 |
| DOI | 10.1109/TVT.2019.2917890 |
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| Abstract | Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation offloading research mainly focused on mobile edge computing (MEC) or cloud computing, separately. This paper presents a collaborative approach based on MEC and cloud computing that offloads services to automobiles in vehicular networks. A cloud-MEC collaborative computation offloading problem is formulated through jointly optimizing computation offloading decision and computation resource allocation. Since the problem is non-convex and NP-hard, we propose a collaborative computation offloading and resource allocation optimization (CCORAO) scheme, and design a distributed computation offloading and resource allocation algorithm for CCORAO scheme that achieves the optimal solution. The simulation results show that the proposed algorithm can effectively improve the system utility and computation time, especially for the scenario where the MEC servers fail to meet demands due to insufficient computation resources. |
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| AbstractList | Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation offloading research mainly focused on mobile edge computing (MEC) or cloud computing, separately. This paper presents a collaborative approach based on MEC and cloud computing that offloads services to automobiles in vehicular networks. A cloud-MEC collaborative computation offloading problem is formulated through jointly optimizing computation offloading decision and computation resource allocation. Since the problem is non-convex and NP-hard, we propose a collaborative computation offloading and resource allocation optimization (CCORAO) scheme, and design a distributed computation offloading and resource allocation algorithm for CCORAO scheme that achieves the optimal solution. The simulation results show that the proposed algorithm can effectively improve the system utility and computation time, especially for the scenario where the MEC servers fail to meet demands due to insufficient computation resources. |
| Author | Zhang, Ke Li, Qiuping Gong, Yi Zhao, Junhui |
| Author_xml | – sequence: 1 givenname: Junhui orcidid: 0000-0002-4429-494X surname: Zhao fullname: Zhao, Junhui email: junhuizhao@hotmail.com organization: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China – sequence: 2 givenname: Qiuping surname: Li fullname: Li, Qiuping email: qiupingli@bjtu.edu.cn organization: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China – sequence: 3 givenname: Yi orcidid: 0000-0001-7392-8991 surname: Gong fullname: Gong, Yi email: gongy@sustech.edu.cn organization: Shenzhen Engineering Laboratory of Intelligent Information Processing for IoT, Southern University of Science and Technology, Shenzhen, China – sequence: 4 givenname: Ke orcidid: 0000-0003-3081-7751 surname: Zhang fullname: Zhang, Ke email: zhangke@uestc.edu.cn organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China |
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| CODEN | ITVTAB |
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| SubjectTerms | Ad hoc networks Algorithms Automobiles Cloud computing Collaboration Collaborative computation offloading Computation offloading computation resource allocation Computer simulation Delays Design optimization Edge computing Mobile computing mobile edge computing Optimization Resource allocation Resource management Servers Task analysis Vehicles vehicular networks |
| Title | Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks |
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