Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/145340
Title: | Security modeling and efficient computation offloading for service workflow in mobile edge computing | Authors: | Huang, Binbin Li, Zhongjin Tang, Peng Wang, Shangguang Zhao, Jun Hu, Haiyang Li, Wanqing Chang, Victor |
Keywords: | Engineering::Computer science and engineering | Issue Date: | 2019 | Source: | Huang, B., Li, Z., Tang, P., Wang, S., Zhao, J., Hu, H., . . . Chang, V. (2019). Security modeling and efficient computation offloading for service workflow in mobile edge computing. Future Generation Computer Systems, 97, 755-774. doi:10.1016/j.future.2019.03.011 | Journal: | Future Generation Computer Systems | Abstract: | It is a big challenge for resource-limited mobile devices (MDs) to execute various complex and energy-consumed mobile applications. Fortunately, as a novel computing paradigm, edge computing (MEC) can provide abundant computing resources to execute all or parts of the tasks of MDs and thereby can greatly reduce the energy of MD and improve the QoS of applications. However, offloading workflow tasks to the MEC servers are liable to external security threats (e.g., snooping, alteration). In this paper, we propose a security and energy efficient computation offloading (SEECO) strategy for service workflows in MEC environment, the goal of which is to optimize the energy consumption under the risk probability and deadline constraints. First, we build a security overhead model to measure the execution time of security services. Then, we formulate the computation offloading problem by incorporating the security, energy consumption and execution time of workflow application. Finally, based on the genetic algorithm (GA), the corresponding coding strategies of SEECO are devised by considering tasks execution order and location and security services selection. Extensive experiments with the variety of workflow parameters demonstrate that SEECO strategy can achieve the security and energy efficiency for the mobile applications. ’ | URI: | https://hdl.handle.net/10356/145340 | ISSN: | 0167-739X | DOI: | 10.1016/j.future.2019.03.011 | Rights: | © 2019 Elsevier B.V. All rights reserved. This paper was published in Future Generation Computer Systems and is made available with permission of Elsevier B.V. | Fulltext Permission: | embargo_20211231 | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Journal Articles |
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Security modeling and efficient computation offloading for service workflow in mobile edge computing.pdf Until 2021-12-31 | 824.65 kB | Adobe PDF | Under embargo until Dec 31, 2021 |
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