Open Access iconOpen Access

ARTICLE

crossmark

AMAD: Adaptive Mapping Approach for Datacenter Networks, an Energy-Friend Resource Allocation Framework via Repeated Leader Follower Game

Ahmad Nahar Quttoum1,*, Muteb Alshammari2

1 Department of Computer Engineering, Faculty of Engineering, The Hashemite University, Zarqa, 13133, Jordan
2 Department of Information Technology, Faculty of Computing and Information Technology, Northern Border University, Arar, 91431, Saudi Arabia

* Corresponding Author: Ahmad Nahar Quttoum. Email: email

Computers, Materials & Continua 2024, 80(3), 4577-4601. https://doi.org/10.32604/cmc.2024.054102

Abstract

Cloud Datacenter Network (CDN) providers usually have the option to scale their network structures to allow for far more resource capacities, though such scaling options may come with exponential costs that contradict their utility objectives. Yet, besides the cost of the physical assets and network resources, such scaling may also impose more loads on the electricity power grids to feed the added nodes with the required energy to run and cool, which comes with extra costs too. Thus, those CDN providers who utilize their resources better can certainly afford their services at lower price-units when compared to others who simply choose the scaling solutions. Resource utilization is a quite challenging process; indeed, clients of CDNs usually tend to exaggerate their true resource requirements when they lease their resources. Service providers are committed to their clients with Service Level Agreements (SLAs). Therefore, any amendment to the resource allocations needs to be approved by the clients first. In this work, we propose deploying a Stackelberg leadership framework to formulate a negotiation game between the cloud service providers and their client tenants. Through this, the providers seek to retrieve those leased unused resources from their clients. Cooperation is not expected from the clients, and they may ask high price units to return their extra resources to the provider’s premises. Hence, to motivate cooperation in such a non-cooperative game, as an extension to the Vickery auctions, we developed an incentive-compatible pricing model for the returned resources. Moreover, we also proposed building a behavior belief function that shapes the way of negotiation and compensation for each client. Compared to other benchmark models, the assessment results show that our proposed models provide for timely negotiation schemes, allowing for better resource utilization rates, higher utilities, and grid-friend CDNs.

Keywords


Cite This Article

APA Style
Quttoum, A.N., Alshammari, M. (2024). AMAD: adaptive mapping approach for datacenter networks, an energy-friend resource allocation framework via repeated leader follower game. Computers, Materials & Continua, 80(3), 4577-4601. https://doi.org/10.32604/cmc.2024.054102
Vancouver Style
Quttoum AN, Alshammari M. AMAD: adaptive mapping approach for datacenter networks, an energy-friend resource allocation framework via repeated leader follower game. Comput Mater Contin. 2024;80(3):4577-4601 https://doi.org/10.32604/cmc.2024.054102
IEEE Style
A.N. Quttoum and M. Alshammari, "AMAD: Adaptive Mapping Approach for Datacenter Networks, an Energy-Friend Resource Allocation Framework via Repeated Leader Follower Game," Comput. Mater. Contin., vol. 80, no. 3, pp. 4577-4601. 2024. https://doi.org/10.32604/cmc.2024.054102



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 250

    View

  • 104

    Download

  • 0

    Like

Share Link