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Decentralized Algorithms for Efficient Energy Management over Cloud-Edge Infrastructures

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Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14053))

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Abstract

This paper presents an innovative approach to overcoming the limitations of traditional cloud-centric architectures in the evolving Internet of Things (IoT) landscape. We introduce a set of novel decentralized algorithms boosting Mobile Edge Computing (MEC), a paradigm shift towards placing computational resources near data sources, thus boosting real-time processing and energy efficiency. Our approach addresses the challenges of managing distributed Cloud-edge infrastructures in high-mobility environments, such as drone networks. Utilizing the Random Waypoint Model to anticipate device trajectories, our algorithms ensure effective resource allocation, enhanced load balancing, and improved Quality of Service (QoS). An in-depth complexity analysis further improves the scalability and performance of our method, demonstrating their ability to optimize energy efficiency and minimize latency, offering optimized offloading strategies in dynamic IoT environments.

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Acknowledgements

This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH-CREATE-INNOVATE (project code: T2E\(\Delta \)K-00127).

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Authors and Affiliations

  1. Computer Engineering and Informatics Department, University of Patras, 26504, Patras, Greece

    Aristeidis Karras, Christos Karras & Spyros Sioutas

  2. Department of Management Science and Technology, University of Patras, 26334, Patras, Greece

    Ioanna Giannoukou & Konstantinos C. Giotopoulos

  3. Department of History and Archaeology, University of Patras, 26504, Patras, Greece

    Dimitrios Tsolis

  4. Department of Informatics, Ionian University, 49100, Corfu, Greece

    Ioannis Karydis

Authors
  1. Aristeidis Karras
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  2. Christos Karras
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  3. Ioanna Giannoukou
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  4. Konstantinos C. Giotopoulos
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  5. Dimitrios Tsolis
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  6. Ioannis Karydis
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  7. Spyros Sioutas
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Correspondence to Aristeidis Karras .

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Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Ioannis Chatzigiannakis

  2. Ionian University, Corfu, Greece

    Ioannis Karydis

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Karras, A. et al. (2024). Decentralized Algorithms for Efficient Energy Management over Cloud-Edge Infrastructures. In: Chatzigiannakis, I., Karydis, I. (eds) Algorithmic Aspects of Cloud Computing. ALGOCLOUD 2023. Lecture Notes in Computer Science, vol 14053. Springer, Cham. https://doi.org/10.1007/978-3-031-49361-4_12

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  • DOI: https://doi.org/10.1007/978-3-031-49361-4_12

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  • Print ISBN: 978-3-031-49360-7

  • Online ISBN: 978-3-031-49361-4

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