A Cost-Efficient and Fair Multi-Resource Allocation Mechanism for Self-Organizing Servers

Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis, Bhuvan Urgaonkar, Yiqiang Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we study cost-efficient and fair allocation of multiple types of resources in an environment of heterogeneous and self-organizing servers. To address this problem, we formulate an optimization problem which aims at minimizing the operational costs for all servers, while providing fairness across different users. We propose a fully distributed implementation to solve this problem. The proposed mechanism is shown to achieve envy-freeness among different users. Furthermore, we show how it captures the trade-off between cost-efficiency and fairness. We employ numerical experiments to show the effectiveness of our proposed mechanism in reducing operational costs for a geo-distributed data-center.

Original languageEnglish (US)
Title of host publication2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647271
DOIs
StatePublished - Jan 1 2018
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: Dec 9 2018Dec 13 2018

Publication series

Name2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
CountryUnited Arab Emirates
CityAbu Dhabi
Period12/9/1812/13/18

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modeling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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  • Cite this

    Khamse-Ashari, J., Lambadaris, I., Kesidis, G., Urgaonkar, B., & Zhao, Y. (2018). A Cost-Efficient and Fair Multi-Resource Allocation Mechanism for Self-Organizing Servers. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings [8647675] (2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2018.8647675