TY - GEN
T1 - Whispering
T2 - 2021 IEEE International Conference on Communications, ICC 2021
AU - Nour, Boubakr
AU - Mastorakis, Spyridon
AU - Mtibaa, Abderrahmen
N1 - Funding Information:
ACKNOWLEDGEMENTS This work was partially supported by the National Institutes of Health (NIGMS/P20GM109090), the National Science Foundation under award CNS-2016714, and the Nebraska University Collaboration Initiative.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - Due to the proliferation of Internet of Things (IoT) and application/user demands that challenge communication and computation, edge computing has emerged as the paradigm to bring computing resources closer to users. In this paper, we present Whispering, an analytical model for the migration of services (service offloading) from the cloud to the edge, in order to minimize the completion time of computational tasks offloaded by user devices and improve the utilization of resources. We also empirically investigate the impact of reusing the results of previously executed tasks for the execution of newly received tasks (computation reuse) and propose an adaptive task offloading scheme between edge and cloud. Our evaluation results show that Whispering achieves up to 35% and 97% (when coupled with computation reuse) lower task completion times than cases where tasks are executed exclusively at the edge or the cloud.
AB - Due to the proliferation of Internet of Things (IoT) and application/user demands that challenge communication and computation, edge computing has emerged as the paradigm to bring computing resources closer to users. In this paper, we present Whispering, an analytical model for the migration of services (service offloading) from the cloud to the edge, in order to minimize the completion time of computational tasks offloaded by user devices and improve the utilization of resources. We also empirically investigate the impact of reusing the results of previously executed tasks for the execution of newly received tasks (computation reuse) and propose an adaptive task offloading scheme between edge and cloud. Our evaluation results show that Whispering achieves up to 35% and 97% (when coupled with computation reuse) lower task completion times than cases where tasks are executed exclusively at the edge or the cloud.
KW - Computation Reuse
KW - Edge Computing
KW - Service Offloading
UR - http://www.scopus.com/inward/record.url?scp=85104172712&partnerID=8YFLogxK
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U2 - 10.1109/ICC42927.2021.9500457
DO - 10.1109/ICC42927.2021.9500457
M3 - Conference contribution
AN - SCOPUS:85104172712
T3 - IEEE International Conference on Communications
BT - ICC 2021 - IEEE International Conference on Communications, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 June 2021 through 23 June 2021
ER -