Power-Aware Service Allocation and Reallocation in Clusters and Clouds

Jan 04, 2026

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This paper discusses power-aware service allocation and reallocation strategies in computing clusters and cloud environments. It focuses on leveraging virtual machine migration, physical host management, and resource modification to achieve substantial reductions in power consumption and SLA violations. With approaches such as heuristic algorithms and VM reconfiguration, the research outlines optimal solutions for small workloads and rational upper bounds for larger problems. The results highlight the effectiveness of integrating VM management and PM power control to minimize energy use while maintaining service quality.

1 poweraware allocation2 cloud resource management3 virtual machine migration4 sla violation reduction5 energy consumption efficiency6 heuristic algorithms7 autonomic power management8 cluster performance optimizationtext

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Power-Aware Service Allocation and Reallocation in Clusters and Clouds

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Power-Aware Service Allocation and Reallocation in Clusters and Clouds Leverages : -Migration using Virtual Machines -Turning on/off physical hosts -CRAC management -Modifying resources provided (CPU, RAM, …) Goals : -Reduce infrastructure-wide power consumption -Reduce SLA violations Allocation and Reallocation: -Optimal solution for small problems -Rational upper-bound on the optimal solution for larger problems -Heuristic solutions algorithms (FirstFit, Vector packing, Monte Carlo, ...) ﾲ
Power-Aware Service Allocation and Reallocation in Clusters and Clouds Issues: • Different workload volatilityand system loads • Migration consumes time and resources • Powering on and off PM consumes time and resources • Heterogeneity of the PMs Results: • Combined use of VM Reconfiguration, Reallocation and PM power management as an autonomic manager. • The energy consumption can be highly reduced • A low SLA violation rate can be maintained.