@inproceedings{939e8aa97f2149b28b507e8a413ad0d1,
title = "An Investigation of Task Offloading Latency in Edge-Cloud Environment Using Machine Learning Techniques",
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.",
author = "{Joel Hebrew}, P. and {Prem Kumar}, S. and {Naveen Raj}, R. and N. Kumar",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 ; Conference date: 17-03-2023 Through 18-03-2023",
year = "2023",
doi = "10.1109/ICACCS57279.2023.10112713",
language = "English",
series = "2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "797--803",
booktitle = "2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023",
address = "United States",
}