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An Efficient Renewable Energy-Based Scheduling Algorithm for Cloud Computing

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Distributed Computing and Internet Technology (ICDCIT 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12582))

Abstract

The global growth of cloud computing services is witnessing a continuous surge, starting from storing data to sharing information with others. It makes cloud service providers (CSPs) efficiently utilize the existing resources of datacenters to increase adaptability and minimize the unexpected expansion of datacenters. These datacenters consume enormous amounts of energy generated using fossil fuels (i.e., non-renewable energy (NRE) sources), and emit a substantial amount of carbon footprint and heat. It drastically impacts the environment. As a result, CSPs are pledged to decarbonize the datacenters by adopting renewable energy (RE) sources, such as solar, wind, hydro and biomass. However, these CSPs have not completely ditched fossil fuels as RE sources are subjected to inconsistent atmospheric conditions. Recent studies have suggested using both NRE and RE sources by the CSPs to meet user requirements. However, these studies have not considered flexible duration, nodes and utilization of the user requests (URs) with respect to datacenters. Therefore, we consider these URs’ properties and propose a RE-based scheduling algorithm (RESA) to efficiently assign the URs to the datacenters. The proposed algorithm determines both the earliest completion time and energy cost, and takes their linear combination to decide a suitable datacenter for the URs. We conduct extensive simulations by taking 1000 to 16000 URs and 20 to 60 datacenters. Our simulation results are compared with other algorithms, namely round-robin (RR) and random, which show that RESA is able to reduce the overall completion time (i.e., makespan (M)), energy consumption (EC), overall cost (OC) and the number of used RE (|URE|) resources.

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Authors and Affiliations

  1. Veer Surendra Sai University of Technology, Burla, 768018, Odisha, India

    Sanjib Kumar Nayak, Satyabrata Das & Sohan Kumar Pande

  2. National Institute of Technology, Warangal, 506004, Telangana, India

    Sanjaya Kumar Panda

Authors
  1. Sanjib Kumar Nayak
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  2. Sanjaya Kumar Panda
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  3. Satyabrata Das
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  4. Sohan Kumar Pande
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Corresponding author

Correspondence to Sanjaya Kumar Panda .

Editor information

Editors and Affiliations

  1. Indian Institute of Technology Guwahati, Guwahati, India

    Diganta Goswami

  2. University of Engineering and Technology, Hanoi, Vietnam

    Truong Anh Hoang

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Nayak, S.K., Panda, S.K., Das, S., Pande, S.K. (2021). An Efficient Renewable Energy-Based Scheduling Algorithm for Cloud Computing. In: Goswami, D., Hoang, T.A. (eds) Distributed Computing and Internet Technology. ICDCIT 2021. Lecture Notes in Computer Science(), vol 12582. Springer, Cham. https://doi.org/10.1007/978-3-030-65621-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-65621-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65620-1

  • Online ISBN: 978-3-030-65621-8

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