EnLoB: Energy and load balancing-driven container placement strategy for data centers

Kuljeet Kaur, Sahil Garg, Georges Kaddoum, Francois Gagnon, Dushantha Nalin K. Jayakody

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

Abstract

Cloud data centers (DCs) can be aptly regarded as the epicenter of today's business and economy; which support seamless data processing, analysis, and storage. However, various studies advocate that the existing DCs are often underutilized. To be precise, almost 30\% of the installed DCs in the United States are comatose. In addition to this, the existing DC architecture leads to extensive energy utilization, which severely hampers the environment and places a severe risk on the power sector. Thus, it is highly essential to reduce DC's energy utilization through efficient resource consolidation approaches. In this work, we investigate the joint impact of resource consolidation and load balancing on cutting down the energy utilization indices of the cloud DCs. In this vein, we formulate a multi-objective optimization problem (MOOP) for container placement across heterogeneous infrastructure, primarily with the intent to minimize the overall energy consumption and balance the load amongst the operating hosts. However, due to the hardness of the underlying problem and its infeasibility to furnish optimal solutions in polynomial time, we designed an online solution based on the incremental exploration of the solution space to map containers on the available array of hosts such that the objectives mentioned above can be attained. Finally, we evaluated the performance of the proposed algorithm in contrast to an existing algorithm on real-time workload traces obtained from PlanetLab. The obtained results confirm the superior performance of the proposed algorithm relative state-of-the-art.

Original languageEnglish
Title of host publication2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109602
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Publication series

Name2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference2019 IEEE Globecom Workshops, GC Wkshps 2019
CountryUnited States
CityWaikoloa
Period9.12.1913.12.19

Keywords

  • Container Placement
  • Energy Efficiency
  • Heuristics
  • Load Balancing
  • Multi-objective Optimization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Control and Optimization

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  • Cite this

    Kaur, K., Garg, S., Kaddoum, G., Gagnon, F., & Jayakody, D. N. K. (2019). EnLoB: Energy and load balancing-driven container placement strategy for data centers. In 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings [9024592] (2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps45667.2019.9024592