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Improved Virtualization to Reduce e-Waste in Green Computing

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Intelligent Computing & Optimization (ICO 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 569))

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Abstract

In this era of modern technologies, a huge amount of e-waste is being produced endlessly. The excessive production rate of e-waste is a great threat to our environment. Our work mainly focuses on the many ways of e-waste reduction and finding new alternatives. The problem we intend to solve with our research is to reduce the production rate of e-waste in an optimized way. The goal of this research is to formulate a sustainable way to reduce e-waste production. This paper approaches the problem by evaluating previous data and reviewing related works. This research proves that virtualization could be a promising alternative for reducing the production rate of e-waste. Virtualization is an essential part of cloud computing as it allows us to employ real-world characteristics across several virtual environments, or virtual machines (VMs). This research also tries to highlight the negative consequences of e-waste, the importance of decreasing it, and how it may be reduced through virtualization. The sole beneficiary of this research would be the big corporations in the electronic devices manufacturing industry.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, East West University, Dhaka, 1212, Bangladesh

    Meharaj-Ul-Mahmmud, Md. Saif Laskar, Mehrab Arafin, Md. Sajeeb Molla & Ahmed Wasif Reza

  2. Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh

    Mohammad Shamsul Arefin

  3. Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, 4349, Bangladesh

    Mohammad Shamsul Arefin

Authors
  1. Meharaj-Ul-Mahmmud
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  2. Md. Saif Laskar
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  3. Mehrab Arafin
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  4. Md. Sajeeb Molla
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  5. Ahmed Wasif Reza
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  6. Mohammad Shamsul Arefin
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Corresponding author

Correspondence to Mohammad Shamsul Arefin .

Editor information

Editors and Affiliations

  1. Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Pandian Vasant

  2. Faculty of Engineering Management, Poznan University of Technology, Poznań, Wielkopolskie, Poland

    Gerhard-Wilhelm Weber

  3. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    José Antonio Marmolejo-Saucedo

  4. Department of Business Statistics and Operations Research, School of Economic Sciences, North West University, Mahikeng, South Africa

    Elias Munapo

  5. Department of Computer Science, UOW Malaysia KDU Penang University Colle, George Town, Malaysia

    J. Joshua Thomas

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Meharaj-Ul-Mahmmud, Laskar, M.S., Arafin, M., Molla, M.S., Reza, A.W., Arefin, M.S. (2023). Improved Virtualization to Reduce e-Waste in Green Computing. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_35

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