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Power-Aware Container Placement Mechanism for CaaS Systems

Authors:
Abdulelah Alwabel

Keywords: Container; Container Placement; CaaS; PCP; Cloud; Optimization

Abstract:
Containers-as-a-Service (CaaS) platforms are widely adopted due to the lightweight and portable nature of containerized-based applications. However, the growing complexity of container workloads makes it difficult to both achieve efficient resource allocation and reduced energy consumption. To address this challenge, we propose a Power-aware Container Placement (PCP) mechanism, , which maps containers to physical machines (PMs) in cloud data centers with an aim to minimize power consumption while maintaining an acceptable level of performance. The PCP mechanism utilizes the Whale Optimization Algorithm (WOA) to search for energy-aware placements under resource constraints, and then applies an additional best-fit optimization phase to further consolidate and reduce the number of active PMs. The proposed approach is evaluated using a Java-based simulation and is compared against the Extend Directed Container Placement (EDCP) mechanism from the literature. Experimental results show that the proposed mechanism reduces power consumption by approximately 7.4% in comparison to the EDCP mechanism. In addition, it also achieves a about 5% reduction in search time. These results indicate that our mechanism can improve energy efficiency in CaaS systems with minimum negative impact on performance of the systems

Pages: 66 to 70

Copyright: Copyright (c) IARIA, 2026

Publication date: April 19, 2026

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-68558-373-6

Location: Lisbon, Portugal

Dates: from April 19, 2026 to April 23, 2026