Abstract
Mobile Edge Computing (MEC) extends the capabilities of cloud computing to the network edge. By bringing the edge server closer to the mobile device, transmission latency and energy consumption are reduced. It also mitigates the risk of privacy breaches during the transmission of data over long distances. However, with the proliferation of applications on mobile devices, the amount of tasks that need to be processed is enormous. Edge servers have limited resources, and tasks with high resource requirements may occupy the server for a long time if priority is not set for the tasks. This will lead to a large number of tasks that cannot be completed. Consequently, some flexible task scheduling strategies are needed to improve task completion and resource utilization. In this paper, we consider the scheduling schemes for dependent and non-dependent tasks in single-server and multi-server scenarios, respectively. At the end, we summarize our work and describe the challenges ahead.
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Acknowledgement
This work is supported by Qin Xin Talents Cultivation Program, Beijing Information Science & Technology University (No. QXTCP C202111).
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Jia, M., Fan, Y., Cai, Y. (2022). A Survey on Task Scheduling Schemes in Mobile Edge Computing. In: Tian, Y., Ma, T., Khan, M.K., Sheng, V.S., Pan, Z. (eds) Big Data and Security. ICBDS 2021. Communications in Computer and Information Science, vol 1563. Springer, Singapore. https://doi.org/10.1007/978-981-19-0852-1_33
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DOI: https://doi.org/10.1007/978-981-19-0852-1_33
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