A Load-Aware Data Migration Scheme for Distributed Surveillance Video Processing with Hybrid Storage Architecture

Gao, Yonghui; Zhang, Haitao; Zhu, Yanpei; Tang, Bingchang; Ma, Huadóng

doi:10.1109/hpcc-smartcity-dss.2017.73

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…In this section, extensive numerical analysis is presented to verify the effectiveness of the proposed migration strategy DVSM. We compared the proposed strategy with an optimal solution, obtained solving the MDP in Section 3.2, and three baseline approaches, named, Storage-aware like Gao et al (2017), Mobility-aware like Ouyang et al (2018), and PMVCS. Storage-aware and Mobility-aware are service migration strategies that consider one main feature as a parameter to determine the appropriate location to migrate a service (storage and mobility, respectively).…”

Section: Results and Analysismentioning

confidence: 99%

“…The method exploits stochastic optimization tools to optimize the resources and the KW algorithm to update the altitude of the vehicle in order to find the optimal position concerning the overall system energy saving under average latency constraints. Gao et al (2017) proposed a storage-aware scheme for distributed surveillance video processing with hybrid storage architecture, which considers the heterogeneity of the node pro- cessing and storage capabilities. Their results showed that the proposed scheme could significantly improve the efficiency of surveillance video processing and data migration.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic video service migration in flying edge computing networks

Araújo,

Alencar

et al. 2023

JBCS

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Recently, Mobile Edge Computing (MEC) and service migration policies have shown promising results to improve the user experience and optimize infrastructure resources. In addition, Unmanned Aerial Vehicles (UAVs) appear as a promising solution to provide cloud service in collaboration with traditional MEC scenarios. However, in conjunction with the resources available on users' devices, contextual information has been ignored by most policies. In this article, we propose a service migration strategy based on contextual information and evaluate the influence of user mobility on migration strategies, called DVSM. Simulation results highlight the superior performance of the DVSM compared to state-of-the-art algorithms and a performance equivalent to the optimal solution when the collection and analysis of context information are carried out correctly.

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Section: Results and Analysismentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%