Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing
Mobile devices have become an indispensable component of Internet of Things (IoT). However, these devices have resource constraints in processing capabilities, battery power, and storage space, thus hindering the execution of computation-intensive applications that often require broad bandwidth, str...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2020
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| _version_ | 1796962056223588352 |
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| author | Yousafzai, Abdullah Yaqoob, Ibrar Imran, Muhammad Gani, Abdullah Noor, Rafidah Md |
| author_facet | Yousafzai, Abdullah Yaqoob, Ibrar Imran, Muhammad Gani, Abdullah Noor, Rafidah Md |
| author_sort | Yousafzai, Abdullah |
| collection | UM |
| description | Mobile devices have become an indispensable component of Internet of Things (IoT). However, these devices have resource constraints in processing capabilities, battery power, and storage space, thus hindering the execution of computation-intensive applications that often require broad bandwidth, stringent response time, long-battery life, and heavy-computing power. Mobile cloud computing and mobile edge computing (MEC) are emerging technologies that can meet the aforementioned requirements using offloading algorithms. In this article, we analyze the effect of platform-dependent native applications on computational offloading in edge networks and propose a lightweight process migration-based computational offloading framework. The proposed framework does not require application binaries at edge servers and thus seamlessly migrates native applications. The proposed framework is evaluated using an experimental testbed. Numerical results reveal that the proposed framework saves almost 44% of the execution time and 84% of the energy consumption. Hence, the proposed framework shows profound potential for resource-intensive IoT application processing in MEC. © 2014 IEEE. |
| first_indexed | 2024-03-06T06:03:21Z |
| format | Article |
| id | um.eprints-24645 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T06:03:21Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | um.eprints-246452020-06-04T02:15:41Z http://eprints.um.edu.my/24645/ Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing Yousafzai, Abdullah Yaqoob, Ibrar Imran, Muhammad Gani, Abdullah Noor, Rafidah Md QA75 Electronic computers. Computer science Mobile devices have become an indispensable component of Internet of Things (IoT). However, these devices have resource constraints in processing capabilities, battery power, and storage space, thus hindering the execution of computation-intensive applications that often require broad bandwidth, stringent response time, long-battery life, and heavy-computing power. Mobile cloud computing and mobile edge computing (MEC) are emerging technologies that can meet the aforementioned requirements using offloading algorithms. In this article, we analyze the effect of platform-dependent native applications on computational offloading in edge networks and propose a lightweight process migration-based computational offloading framework. The proposed framework does not require application binaries at edge servers and thus seamlessly migrates native applications. The proposed framework is evaluated using an experimental testbed. Numerical results reveal that the proposed framework saves almost 44% of the execution time and 84% of the energy consumption. Hence, the proposed framework shows profound potential for resource-intensive IoT application processing in MEC. © 2014 IEEE. Institute of Electrical and Electronics Engineers 2020 Article PeerReviewed Yousafzai, Abdullah and Yaqoob, Ibrar and Imran, Muhammad and Gani, Abdullah and Noor, Rafidah Md (2020) Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing. IEEE Internet of Things Journal, 7 (5). pp. 4171-4182. ISSN 2372-2541, DOI https://doi.org/10.1109/JIOT.2019.2943176 <https://doi.org/10.1109/JIOT.2019.2943176>. https://doi.org/10.1109/JIOT.2019.2943176 doi:10.1109/JIOT.2019.2943176 |
| spellingShingle | QA75 Electronic computers. Computer science Yousafzai, Abdullah Yaqoob, Ibrar Imran, Muhammad Gani, Abdullah Noor, Rafidah Md Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing |
| title | Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing |
| title_full | Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing |
| title_fullStr | Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing |
| title_full_unstemmed | Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing |
| title_short | Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing |
| title_sort | process migration based computational offloading framework for iot supported mobile edge cloud computing |
| topic | QA75 Electronic computers. Computer science |
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