Joint task offloading and resource allocation in mobile edge computing with energy harvesting

Mobile edge computing (MEC) is considered to be a promising technique to enhance the computation capability and reduce the energy consumption of smart mobile devices (SMDs) in the sixth-generation (6G) networks. With the huge increase of SMDs, many applications of SMDs can be interrupted due to the...

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Bibliographic Details
Published in:	Journal of cloud computing : advances, systems and applications Vol. 11; no. 1; pp. 1 - 14
Main Authors:	Li, Shichao, Zhang, Ning, Jiang, Ruihong, Zhou, Zou, Zheng, Fei, Yang, Guiqin
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 29.06.2022 Springer Nature B.V SpringerOpen
Subjects:	Algorithms Computation offloading Computer Communication Networks Computer Science Computer System Implementation Computer Systems Organization and Communication Networks Computing time Downlinking Downloading Downloading time Edge computing Edge-cloud computing cooperation for task offloading in internet-of-things Electronic devices Energy consumption Energy harvesting Energy harvesting (EH) Information Systems Applications (incl.Internet) Joint task offloading and resource allocation Mobile computing Mobile edge computing (MEC) Network latency Optimization Resource allocation Sixth-generation (6G) networks Software Engineering/Programming and Operating Systems Special Purpose and Application-Based Systems Uplinking Joint task offloading and resource allocation Mobile edge computing (MEC) Downloading time Sixth-generation (6G) networks Energy harvesting (EH)
ISSN:	2192-113X, 2192-113X
Online Access:	Get full text
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