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Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

Author

Listed:
  • Emmanuel Okewu

    (Centre for Information and Technology, University of Lagos, Lagos 100001, Nigeria)

  • Sanjay Misra

    (Department of Computer Engineering, Atilim University, Incek 06836, Ankara, Turkey
    Department of Electrical and Information Engineering, Covenant University, Ota 0123, Nigeria)

  • Rytis Maskeliūnas

    (Department of Multimedia Engineering, Kaunas University of Technology, Kaunas LT-44249, Lithuania)

  • Robertas Damaševičius

    (Department of Multimedia Engineering, Kaunas University of Technology, Kaunas LT-44249, Lithuania)

  • Luis Fernandez-Sanz

    (Department of Computer Sciences, University of Alcala, Alcalá de Henares 28871, Spain)

Abstract

The role of automation in sustainable development is not in doubt. Computerization in particular has permeated every facet of human endeavour, enhancing the provision of information for decision-making that reduces cost of operation, promotes productivity and socioeconomic prosperity and cohesion. Hence, a new field called information and communication technology for development (ICT4D) has emerged. Nonetheless, the need to ensure environmentally friendly computing has led to this research study with particular focus on green computing in Africa. This is against the backdrop that the continent is feared to suffer most from the vulnerability of climate change and the impact of environmental risk. Using Nigeria as a test case, this paper gauges the green computing awareness level of Africans via sample survey. It also attempts to institutionalize green computing maturity model with a view to optimizing the level of citizens awareness amid inherent uncertainties like low bandwidth, poor network and erratic power in an emerging African market. Consequently, we classified the problem as a stochastic optimization problem and applied metaheuristic search algorithm to determine the best sensitization strategy. Although there are alternative ways of promoting green computing education, the metaheuristic search we conducted indicated that an online real-time solution that not only drives but preserves timely conversations on electronic waste (e-waste) management and energy saving techniques among the citizenry is cutting edge. The authors therefore reviewed literature, gathered requirements, modelled the proposed solution using Universal Modelling Language (UML) and developed a prototype. The proposed solution is a web-based multi-tier e-Green computing system that educates computer users on innovative techniques of managing computers and accessories in an environmentally friendly way. We found out that such a real-time web-based interactive forum does not only stimulate the interest of the common man in environment-related issues, but also raises awareness about the impact his computer-related activities have on mother earth. This way, he willingly becomes part of the solution to environment degradation in his circle of influence.

Suggested Citation

  • Emmanuel Okewu & Sanjay Misra & Rytis Maskeliūnas & Robertas Damaševičius & Luis Fernandez-Sanz, 2017. "Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1857-:d:115467
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    References listed on IDEAS

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    Cited by:

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    5. Yongli Wang & Yujing Huang & Yudong Wang & Haiyang Yu & Ruiwen Li & Shanshan Song, 2018. "Energy Management for Smart Multi-Energy Complementary Micro-Grid in the Presence of Demand Response," Energies, MDPI, vol. 11(4), pages 1-19, April.
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    8. Onu, Uchenna Godswill & Zambroni de Souza, Antonio Carlos & Bonatto, Benedito Donizeti, 2023. "Drivers of microgrid projects in developed and developing economies," Utilities Policy, Elsevier, vol. 80(C).

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