Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916397217480704 |
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| author | Li, Xiang Abdallah, Mustafa Lou, Yuan-Yao Chiang, Mung Kim, Kwang Taik Bagchi, Saurabh |
| author_facet | Li, Xiang Abdallah, Mustafa Lou, Yuan-Yao Chiang, Mung Kim, Kwang Taik Bagchi, Saurabh |
| contents | Edge computing is deemed a promising technique to execute latency-sensitive applications by offloading computation-intensive tasks to edge servers. Extensive research has been conducted in the field of end-device to edge server task offloading for several goals, including latency minimization, energy optimization, and resource optimization. However, few of them consider our mobile computing devices (smartphones, tablets, and laptops) to be edge devices. In this paper, we propose a novel multi-tier edge computing framework, which we refer to as M-TEC, that aims to optimize latency, reduce the probability of failure, and optimize cost while accounting for the sporadic failure of personally owned devices and the changing network conditions. We conduct experiments with a real testbed and a real commercial CBRS 4G network, and the results indicate that M-TEC is capable of reducing the end-to-end latency of applications by at least 8\% compared to the best baseline under a variety of network conditions, while providing reliable performance at an affordable cost. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_10839 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks Li, Xiang Abdallah, Mustafa Lou, Yuan-Yao Chiang, Mung Kim, Kwang Taik Bagchi, Saurabh Networking and Internet Architecture Distributed, Parallel, and Cluster Computing Edge computing is deemed a promising technique to execute latency-sensitive applications by offloading computation-intensive tasks to edge servers. Extensive research has been conducted in the field of end-device to edge server task offloading for several goals, including latency minimization, energy optimization, and resource optimization. However, few of them consider our mobile computing devices (smartphones, tablets, and laptops) to be edge devices. In this paper, we propose a novel multi-tier edge computing framework, which we refer to as M-TEC, that aims to optimize latency, reduce the probability of failure, and optimize cost while accounting for the sporadic failure of personally owned devices and the changing network conditions. We conduct experiments with a real testbed and a real commercial CBRS 4G network, and the results indicate that M-TEC is capable of reducing the end-to-end latency of applications by at least 8\% compared to the best baseline under a variety of network conditions, while providing reliable performance at an affordable cost. |
| title | Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks |
| topic | Networking and Internet Architecture Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2409.10839 |