Abstract
In recent times, the hand-held smart devices are entrusted with running several data and compute-intensive applications which are often of critical nature. As a result, the mobile edge computing (MEC) paradigm becomes popular that facilitates an efficient execution mechanism for these applications. The existing scheduling policies in this execution platform mainly considers independent user tasks and supports only full offloading. In this paper, we propose a scheduling strategy for a bag of applications supporting partial offloading to reduce the energy consumption of the edge hosts. Further, for the execution of applications in edge host, we propose an execution model using light-weight container-based solution Kubernetes in place of traditional virtual machine-based model. Experimental results show the effectiveness of our proposed scheduling policy with an energy saving of 7.9% with respect to the baseline state-of-art energy-efficient scheduling policy. The proposed policy also meets the delay constraints of all the applications.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
