Work

Optimizing Energy Efficiency on Task Allocation for Cyber Foraging in a Transient Mobile Cloud System

Year: 2024

Type: article

Abstract: In this research, we address the essential problem of achieving energy-efficient task allocation, which is a vital building block of cyber foraging on a transient mobile cloud. The goal is to minimize the total energy consumption for collaborative task executions among mobile devices in a multi-hop mesh network constructed on a mobile agent-based framework. Accordingly, we propose an energy-efficient task allocation problem formulation that takes into account the required restrictions. Next, we develop an optimal task allocation solution based on the modification of the Kuhn-Munkres algorithm by leveraging on the structural properties of the problem. We further evaluate the effectiveness of the suggested task allocation scheme through numerical study on a simulated system. The simulation reveals a performance gain on energy consumption reduction over other widely used task assignment algorithms.

Source: International Journal of Computer (IJC)

Authors: Tiako Fani Ndambomve, Felicitas Mokom, Kolyang Dina Taiwe

Institutions: University of Maroua, Catholic University Institute of Buea, Association for Computing Machinery, IEEE Computational Intelligence Society

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W7004929716

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