Alqahtani, AM, Yosuf, B, Mohamed, SH et al. (2 more authors) (2021) Energy Efficient Resource Allocation in Federated Fog Computing Networks. In: 2021 IEEE Conference on Standards for Communications and Networking (CSCN). 2021 IEEE Conference on Standards for Communications and Networking (CSCN), 15-17 Dec 2021, Thessaloniki, Greece. IEEE ISBN 978-1-6654-2350-2
Abstract
There is a continuous growth in demand for time sensitive applications which has shifted the cloud paradigm from a centralized computing architecture towards distributed heterogeneous computing platforms where resources located at the edge of the network are used to provide cloud-like services. This paradigm is widely known as fog computing. Virtual machines (VMs) have been widely utilized in both paradigms to enhance the network scalability, improve resource utilization, and energy efficiency. Moreover, Passive Optical Networks (PON s) are a technology suited to handling the enormous volumes of data generated in the access network due to their energy efficiency and large bandwidth. In this paper, we utilize a PON to provide the connectivity between multiple distributed fog units to achieve federated (i.e., cooperative) computing units in the access network to serve intensive demands. We propose a mixed integer linear program (MILP) to optimize the VM placement in the federated fog computing units with the objective of minimizing the total power consumption while considering inter- Vmtraffic. The results show a significant power saving as a result of the proposed optimization model by up to 52%, in the VM -allocation compared to a baseline approach that allocates the VM requests while neglecting the power consumption and inter-VMs traffic in the optimization framework.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Fog Computing , Energy Efficiency , VMs placements , Internet of Things (IoT) , Mixed Integer Linear Programming (MILP) , optimization , Passive Optical Networks (PONs) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/S016570/1 EPSRC (Engineering and Physical Sciences Research Council) EP/K016873/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Feb 2022 16:17 |
Last Modified: | 08 Feb 2022 16:36 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/cscn53733.2021.9686117 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183349 |