An Investigation of Task Offloading Latency in Edge-Cloud Environment Using Machine Learning Techniques

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P, Joel Hebrew. and S, Prem Kumar. and R, Naveen Raj. and Kumar, Narayanan (2023) An Investigation of Task Offloading Latency in Edge-Cloud Environment Using Machine Learning Techniques. In: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.

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An Investigation of Task Offloading Latency in Edge-Cloud Environment Using Machine Learning Techniques _ IEEE Conference Publication _ IEEE Xplore.pdf - Published Version
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Official URL: https://doi.org/10.1109/ICACCS57279.2023.10112713

Abstract

The volume of information produced by Internet of Things (IoT) gadgets has significantly expanded along with how many of these gadgets are connected to the Internet. Now a day's Edge-Cloud computing has a major roll to store the data. Edge computing is close proximity to the network's edge enables quick data processing and supporting user request. Therefore, we present an Edge-Cloud system design that enables scheduling IoT application offloading operations reducing a massive volume of data being transmitted in the network.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computer Science Engineering > Machine Learning Computer Science Engineering > Cloud Computing
Domains:	Computer Science
Depositing User:	Mr IR Admin
Date Deposited:	25 Sep 2024 05:46
Last Modified:	16 Dec 2025 05:53
URI:	https://ir.vistas.ac.in/id/eprint/7168

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